NGENGE-POSTGRAD SOLUTIONS IS HERE TO HELP YOU: NPGS has an Application Help Service with a team of highly experienced professionals to help you find a position or prepare a CV or Cover Letter. Our professional experts can also apply for you from A to Z.
Application Deadline: Open until filled.
The Helmholtz Centres are a German research organization with around 100 centres. Their main focus is to understand the relationship between health, human functioning, and the environment. They have a variety of collaborations with universities and other research organizations throughout Germany.
Helmholtz centres are research institutes in Germany that specialize in scientific topics related to science and technology. They are funded by the German federal government and are located in several cities scattered throughout Germany.
Helmholtz centres work to advance scientific research in all fields related to human and animal health by promoting excellence in research and education. These centres are situated all over the world, including 13 locations in Germany, 3 locations in France, 2 locations in Italy & 1 location each in USA, China, UK & Japan.
Title: Master thesis on the topic of “Determination of selective contact properties and selective losses in perovskite solar cells using capacitance methods
Deadline: Open Until Filled
Assignment:
- Applying various frequency domain techniques such as impedance spectroscopy to perovskite solar cells
- Analysis of the experimental data
- Numerical simulations of the frequency dependent measurements
- Quantification of losses due to resistive contact layers
- Reduction of losses by more conductive contact layers
Admission requirement:
- Bachelor Degree in physics, material science, electrical engineering, chemistry or related fields
- Very good grades in bachelor and master courses
- Know-How in the physics of semiconductors and ideally in spectroscopy of semiconductors
- Very good spoken and written English or German
- Enthusiasm for science and experimental work
More Details and Apply.
Title: Master thesis on the topic of “Determination of surface recombination velocities at interfaces of perovskite solar cells from photoluminescence measurements
Deadline: Open Until Filled
Your Job:
- Measuring transient photoluminescence spectra on perovskite films and layer stacks
- Simulation of the transient photoluminescence spectra using different numerical and analytical approaches
- Determination of surface and interface recombination velocities
- Quantification of losses due to interfacial recombination in perovskite solar cells
- Reduction of losses by using suitable passivation layers
Your Profile:
- Bachelor Degree in physics, material science, electrical engineering, chemistry or related fields
- Know-How in the physics of semiconductors and ideally in spectroscopy of semiconductors
- Very good grades in bachelor and master courses
- Very good spoken and written English or German
- Enthusiasm for science and experimental work
More Details and Apply.
Title: Master Thesis – SiGeSn growth by CVD for optoelectronic applications
Deadline: Open Until Filled
Your Job:
Your primary scientific tasks will be:
- Growth and characterization of SiGeSn heterostructures by CDV
- Cleanroom fabrication of photonic, thermoelectric, or magneto-electrical devices
- Optical and electrical characterization of the obtained devices
Your Profile:
- Bachelor`s degree in Physics, Material Sciences, Engineering or similar fields
- Preference for experimental work, in the field of Material Science with background in solid state physics
- Enthusiasm and courage to explore uncharted territory, and enjoy research
- Ability to work as a part of a team
- Fluent in written and spoken English
More Details and Apply.
Title: Master Thesis for Scalasca Performance Analysis Group
Location: Scalasca Performance Analysis Group
Deadline: Open Until Filled
Your Job:
- Research and development in the area of programming tools for parallel computing
- Experience in software engeneering
- Working in an international team
- Preparation of a master thesis in HPC research area
Your Profile:
- A bachelor’s degree in computer science or a related discipline
- Programming practice in C/C++
- Experience with Qt library
- Familiarity with UNIX-like system environments
- Good command of English
- High motivation and the ability to work effectively with others
More Details and Apply.
Fully Funded Master, PhD and Postdocs at Helmholtz Centers
Below you will find a list of fully-funded Master’s, PhD, and Postdoc positions available at Helmholtz Centers in Germany.
Title: PhD Position – Interface Catalysis by Design for Scalable Electrosynthesis of Value-added Organic Compounds
Location: Electrocatalysis research department
Deadline: Open Until Filled
Your Job:
The successful candidate will be part of the Electrocatalysis research department, which research area is an investigation of fundamental aspects of the electrolyte-electrode interface during applied processes of reversible interconversion of electrical and chemical energy. The department’s scientific interests are aimed on the development of an efficient methodology for the electrochemical transformation of readily available feedstock to value-added products. Organic electrosynthesis, as nowadays proven powerful tool for preparation of substances of desired composition, has been recently added to the profile of scientific interests of the department. Commonly used offline analytical methods are found to be insufficient in the testing of variety of catalytic materials, therefore in the department of Electrocatalysis, a unique platform for online (real-time) analysis of electrochemical processes is developed, providing a powerful analytical support for the conducted research.
Your job:
- Design, synthesis, and characterization of catalytic materials
- Utilization of the obtained materials as electrocatalysts
- Validation of online and offline analytical methods
- Analysis of the activity, selectivity, and stability of electrocatalysts
- Writing papers and presenting the results in conferences
- Representation of the institute in project meetings
- Collaboration with partners within HI ERN and outside
Your Profile:
- Excellent master’s degree in Chemistry, Material science, Chemical engineering, or a comparable discipline
- Experience in material science, organic chemistry and desirable knowledge of basic electrochemical methods
- Exceptional organizational skills, ability to show initiative and work independently
- Outstanding cooperation and communication skills and the ability to work as part of a team
- Excellent skills in spoken and written English
- Strong motivation for pursuing a PhD within three years in a multidisciplinary project related to the investigation of electrode-electrolyte interfaces
More Details and Apply.
Title: PhD Position – Microfluidics-based bioprinting
Your Job:
- You will be part of German Research Foundation (DFG)-funded Collaborative Research Project Transregio SFB 225 ‘From the fundamentals of biofabrication toward functional tissue models’
- You will investigate the microfluidic synthesis and bioprinting of cell-loaded microgel bioinks and collaborate with partners from the Universities of Würzburg, Erlangen-Nürnberg and Bayreuth on the fabrication of biofunctional tissues
- A master’s degree in physics, chemistry, biology, or any related subject, and
- Strong interest the fields of microfluidics and 3D-printing, as well as in experimental methods to characterize bio-polymeric materials
- Experience in fluid simulation or the handling of cell cultures will be a plus
- Good communication skills in English are necessary
More Details and Apply.
Title: PhD Position – Multi-Qubit Control
Deadline: Open Until Filled
Our team is working on electronics for Quantum Computing (QC) based on integrated circuits (ICs) which combine analog and digital components from modern CMOS technologies. One research focus is the development of ICs for scalable control and read-out of semiconductor quantum bits (qubits).
Up to now most of these electronics have been for single qubit examples but are getting towards larger numbers. Our modeling efforts focus more on the overall research goal of a compact, scalable machine. For implementing a computer, additional hardware components are needed next to control and readout electronics. One example is a digital unit managing and monitoring the control and readout of many qubits. The focus of this research part is the modeling of a scalable electrical unit able to coordinate the operation of larger qubit numbers.
Specific tasks are:
- Analysis of the needs for a multi qubit controller
- High level modeling of the small digital processor
- Investigation of different architectures and comparing them with regards to hardware effort and power dissipation
- Collaboration in interdisciplinary research projects
- Self-driven development of solutions
- Master`s degree in electrical engineering, computer engineering, computer science, physics or similar fields
- Good analytical skills, and ability to master complex systems and problems
- Basic knowledge in (integrated) circuit design, computer architecture or system modeling
- Willingness to work in an interdisciplinary and intercultural team
- Good capabilities in English, both written and spoken
More Details and Apply.
Title: PhD Position – Structure prediction of RNA using machine learning methods
Your Job:
- Development and parameterization of mathematical models for the prediction of RNA based on machine learning
- Structure prediction and simulation of RNA
- Publication and presentation of the results on (inter)national conferences and in scientific journals
“Must have”
- Completed academic university degree in the natural sciences, computer science, mathematics or any related subject with excellent grades
- Very good experience in machine learning methods, statistics and/or statistical physics
- Very good programming skills, ideally in C ++ and Python
- Interest in biological issues
- Experience in the efficient use of parallel high-performance computers
More Details and Apply.
Title: PhD Position – Synthesis, characterization and electrochemical analysis of sustainable electrodes for post Li-ion batteries
Deadline: Open Until Filled
Li-ion batteries (LIBs), as the market leading power sources for portable electronic devices, electric vehicles, and large scale stationary energy storage technologies experience a growing economic and ecologic importance worldwide. However, the rapid growing demand for LIBs would deplete the earths’ resources eventually, especially for the critical metals such as Li, Ni and Co. This confronts us with the necessity to rethink battery chemistries for finding ways into more sustainability. The ways into meeting the demand for higher energy density and sustainability are multifold. One approach are new battery concepts with new core chemistries known as “Post-LIB” technologies. In this project new electrodes with relevant low cost, sustainable and more abundant elements will be developed, as such this project links into the cutting-edge research on sustainable materials for Post-LIB technologies. Your tasks in detail:
- Literature research on the status of battery research on (sustainable) battery electrodes with a respect to a specific material class
- Synthesis of (electrode) powders by solid-state reaction or wet-chemical methods
- Material characterization and electrochemical analysis, as well as advanced analytical methods (e.g. spectroscopy, advanced X-ray diffraction, in-situ methods)
- Evaluation of different synthesis parameters (temperature, atmosphere, substituents) and their influence on the materials properties and electrode performance, as well as development of strategies to optimize the electrode performance
- Presentation of the research results at national and international conferences, as well as in exchange with internal and external, national and international project partners and in scientific publications and project reports in German and English
- Masters degree in Chemistry, Chemical Engineering, Physics, Materials Sciences, Mineralogy or a similar field of studies
- Interest in electrochemistry and batteries
- Experience in materials synthesis / powder synthesis and characterization
- Independent and reliable style of working
- Excellent ability to cooperate and work in a team
- Fluent command of written and spoken English
- Sufficient knowledge of German to write German texts (e.g. project reports)
More Details and Apply.
Title: PhD Position – Development of new UHV Technologies for the “Einstein Telescope for Graviational Waves Detection”
Your Job:
Gravitational waves are detected by laser interferometers based on the concept of the Michelson Interferometer. The ET will include six of those interferometers with arm lengths of 10 km each in an underground, triangular configuration. To avoid interaction of the laser beams with air or any residual gas the laser beams will travel in ultrahigh vacuum tubes (UHV) with a diameter of approximately 1 m. In total, there will be 120 km of those tubes. It will be by far the largest UHV system ever built. You will work on the design of the vacuum system.
Your main topics will be:
- General layout of vacuum system; simulation of the vacuum conditions; estimate of the pumping capacities
- Engineering of the pumping stations, including several types of pumps, gauges, values, etc.
- Layout of an emergency shut-off for different sections of the system, including the design and suitable protection valves; testing of prototypes of these values
- Development of strategies for leakage detection, -repair and corrosion detection
- Development of a procedure for bake-out the system; heat management during bake-out in the tunnels; dimensioning of the insulation to stabilize the vacuum tube temperature
- Project planning including time and cost estimation
- Cooperation with groups and companies working on the production and installation process of the vacuum pipes and their frames
Most of your work will be at ZEA-1 in close collaboration with the groups involved in the development of the ET at RWTH Aachen University.
- Successfully completed technical or scientific university studies (Master) in the field of general mechanical engineering, process engineering or experimental physics
- Very good knowledge of vacuum technology, especially in materials science for UHV suitable materials
- Very good knowledge in the field of design engineering
- Experience in the use of software for engineering design of systems such as CAD and FE
- Interest in experimental work, the design and construction of test systems and the supervision of test runs
- High degree of initiative and ability to work in an international team
- Ability for collaborative work, interdisciplinary and cross-topical thinking
- Very good communication skills in English, spoken and written
- Knowledge of German is an advantage
More Details and Apply.
Title: PhD Position in Fuel Cell Process Engineering
Location: Electrocatalytic Interface Engineering department
Deadline: Open Until Filled
You will be working in the Electrocatalytic Interface Engineering department of the HI ERN led by Prof. Dr.-Ing. Simon Thiele. The department focuses on manufacturing, analysis and simulation of functional materials to find an optimum structure on small scales from the micrometer to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as well as in fuel cells. Thereby the aim is to significantly contribute to the development of electrochemical energy conversion as a future key player for electromobility and the energy policy in general. You will work as a process engineer to build up and improve fuel cell testing stations for Direct Liquid Organic Hydrogen Carrier (LOHC) fuel cells, such as the Direct Isopropanol Fuel Cell (DIFC). Some of your responsibilities will include:
- Designing and implementing testing stations for fuel cell stacks
- The design and evaluation of direct LOHC fuel cell system concepts and configurations
- System process analysis and control, for example humidity, temperature, pressure drops, voltage drops
- Investigating the performance and durability of membrane-electrode-assemblies with electrochemical characterization techniques
- Developing and optimizing procedures for short and long-term operation and cell start-up and shut-down
- Supervision of university students
- Participation in project meetings
- Coordination with internal and external partners
- Publication and presentation of research results in relevant journals or at international conferences
- Excellent masters degree in Chemical Engineering, Mechanical Engineering, Process Engineering or a similar discipline
- Strong interest in pursuing research in fuel cells
- Previous experience with fuel cells, electrolyzers or building up test stations is a plus
- High motivation for pursuing a PhD within 3 years
- Excellent organizational skills
- Ability to show initiative and work independently
- Excellent cooperation and communication skills and ability to work as part of a team
- Excellent skills in spoken and written English
More Details and Apply.
Title: PhD Position – Modelling the Fabrication Process of Organic Solar Cells
Your Job:
- To validate this simulation tool by performing simulations on real systems. The input parameters will be identified and the simulation results compared with experimental characterization of the film morphology in close collaboration with experimental groups.
- To elucidate physics-based design rules for ink formulation and process parameters to be used for the solution-based processing of large-area bulk-heterojunction solar cells.
- To contribute to the code development and improvement
- Participation in project meetings
- Coordination with internal and external partners
- Publication and presentation of research results in relevant journals or at international conferences
Your Profile:
- Successfully completed scientific master`s degree in physics or materials science with excellent grades, preferably with a specialization on theory and simulation
- Knowledge of at least one programming language
- Experience with using Unix/Linux operating systems
- Skills in simulation and/or modelling
- Motivation to tackle interdisciplinary problems and to collaborate with experimental groups
- High motivation for pursuing a PhD within 3 years
- Excellent organizational skills
- Ability to show initiative and work independently
- Excellent cooperation and communication skills and ability to work as part of a team
- Excellent skills in spoken and written English
Title: PhD Position – Computational investigation of ion channels and transporters
Deadline: Open Until Filled
- You will be part of German Research Foundation (DFG)-funded Research Units (FOR 2518: Functional dynamics of ion channels and transporters; FOR 5046: Integrated analysis of epithelial SLC26 anion transporters – from molecular structure to pathophysiology).
- You will investigate ion channels or transporters using computational structure-prediction methods, molecular-dynamics simulations, high-performance computing, and machine-learning techniques, and collaborate with experimental electrophysiologists on a daily basis.
- Depending on your interest and experience, you may learn and conduct experiments (e.g. patch-clamp recordings) on your own.
Your Profile:
- A master’s degree in physics, chemistry, biology, or any related subject, and a strong interest the fields of biophysics and physiology, as well as in both computational and experimental methods to investigate membrane proteins.
- Knowledge of at least one programming language and basic experience with Unix-like operating systems are required.
- Experience in biochemical or biophysical methods, molecular modeling, or statistical mechanics will be a strong plus.
- Good communication skills in English are necessary.
Title: PhD Position – Development of a separation process for ammonia from electrolysis processes
Deadline: Open Until Filled
During your PhD work, you will contribute to scientific projects in the field of energy research. For the transformation of the energy system towards renewable sources, a significant number of new fuels and energy storage systems is discussed. Ammonia is a promising candidate as a fuel as well as a hydrogen carrier. Liquid ammonia has an energy density twice as high as liquid hydrogen and can be transported more easily. Today, ammonia is synthesized in the Haber-Bosch process from nitrogen from air and hydrogen from fossil sources. To make the ammonia synthesis CO2-neutral, the University of Melbourne develops an electrolysis process to make ammonia from nitrogen, water and renewable electricity. The ammonia obtained in this process may still contain rests of nitrogen, water or side products. Your tasks in this exciting field:
- You will develop a separation process to purify the ammonia from electrolysis, making use of a carbon molecular sieve developed at the institute.
- Your tasks include synthesis and optimization of the carbon molecular sieve, choice of a suitable adsorptive process for the purification of ammonia and first steps to make this process continuous.
- You will take part in the development of the electrolysis process at the University of Melbourne to improve the matching of electrolysis and purification process. To do so, you will stay in Melbourne, Australia for one year of the three-year-project.
- Masters degree in chemistry, physics, material science or a similar field of studies
- Fundamental understanding and first expertise of electrochemistry, analytics and gas separation processes are beneficial
- Readiness for a one-year stay at the UoM in Melbourne, Australia, where the electrochemical synthesis of ammonia is carried out
- You enjoy working in an interdisciplinary and international environment and being part of this environment
- Good knowledge of the English language and the willingness to present the research results at international conferences in Germany and abroad
More Details and Apply.
Title: PhD Position – Simulation of the German Building Stock for Decarbonization using AI
Your Job:
In this PhD Thesis methods of artificial intelligence are combined with a simulation (HiSim) and an optimization model (FINE).
During this thesis you have the opportunity to collect experience in the areas of data science, artificial intelligence, modeling, building heat supply and programming. After completing this thesis, you will have an extremely in depth understanding of the German building stock, building modeling.
Your tasks in detail:
- Further development of the software packages FINE and HiSim
- Using AI and data science for process data, cluster, validate, results processing and upscaling
- Literature research about heating systems, hydrogen heating and other heating technologies
- Research about possible and optimal decarbonization pathways
- Identification of the limits of the applicability of different technologies
- Applying FINE and HiSim to the German building stock
- Creation of reports and publications
Your Profile:
- Master`s degree in computer science, mechanical engineering, energy engineering, electrical engineering, environmental sciences, natural sciences, or a comparable course of study
- Knowledge of energy system modeling and building heating is an advantage
- Good programming skills, ideally in Python
- Interest in Data Science
- Distinct ability to work in a team as well as the ability to work cooperatively
- Independent and analytical way of working
- Fluent written and spoken English; German language skills advantageous
Title: PhD Position – Metaplasticity of redox-based memristive thin film devices
Deadline: Open Until Filled
The PGI-7 is involved in a Marie-Curie training network “Materials for Neuromorphic Circuits” (MANIC). that is aiming to synthesize materials that can function as networks of neurons and synapses by integrating conductivity, plasticity and self-organization. Within MANIC, the PGI-7 offers a PhD project that aims to engineer the synaptic plasticity of epitaxial and polycrystalline memristive oxide thin film devices from short-term plasticity to long-term potentiation. This so called metaplasticity inherent to biological systems will be employed to implement different types of learning algorithms. The plasticity will be modified by the interplay of thin film processing conditions (defects, interfaces) and the sequence of electrical stimuli. The project should clarify the interplay between pristine microstructure, filament formation, dynamics of oxygen vacancy movement and synaptic plasticity. The memristive devices will finally be co-integrated into a neuromorphic CMOS chip designed at Bielefeld University.
Your tasks will include:
- Growth of oxide thin films by pulsed laser deposition or sputter deposition
- In situ characterization of thin films within the Electronic Oxide Cluster (EOC) tool
- A one month stay each at University of Twente and Twente Solid State Technology for the growth of heterostructures on Si
- Fabrication of nanoscale memristive devices and co-integration into a neuromorphic CMOS chip
- Electrical testing of over a high dynamic range
- A one month stay at University of Groningen for the exchange about device properties and neuromorphic circuit design
- Participation in the training program of MANIC
- Presentation, communication, and publication of cutting-edge research in international environment
- Excellent masters or equivalent degree in physics, material science or electrical engineering
- Profound knowledge in Solid State Physics
- Interdisciplinary and cross-topical thinking
- Team-minded, self-reliant, and highly motivated character
- Good communicational skills in English (German in addition will be preferred)
- Due to the mobility rule of the training program you should not have stayed in Germany for more than 12 months within the last 3 years
More Details and Apply.
Title: PhD Position – CMOS co-integration of memristive oxide heterostuctures
Your Job:
- Growth of oxide thin films and heterostructures by pulsed laser deposition and sputter deposition
- In situ characterization of thin films within the Electronic Oxide Cluster (EOC) tool
- Fabrication of nanoscale memristive devices and co-integration into neuromorphic CMOS chips developed within the consortium
- Electrical testing of over a high dynamic range
- Presentation, communication, and publication of cutting-edge research in international environment
Your Profile:
- Excellent masters or equivalent degree in physics, material science or electrical engineering
- Profound knowledge in solid state physics
- Interdisciplinary and cross-topical thinking
- Team-minded, self-reliant, and highly motivated character
- Good communicational skills in English (German in addition will be preferred)
Title: PhD Position – Non-invasive imaging of flow and transport in porous media
Deadline: Open Until Filled
You will be part of the collaborative research center SFB1313 on “Interface-driven multi-field processes in porous media – flow, transport and deformation”. The SFB1313 consortium investigates interfaces in porous media, which are known to have large impact on flow, transport and deformation. An important step is to quantify how the dynamics of fluid-fluid and fluid-solid interfaces in porous-media systems are affected by pore geometry, heterogeneity, and fractures. This will be achieved through the development of experimental knowledge as well as mathematical and computational models. IBG-3 participates in the SFB1313 and is leading the project C05 with a focus on non-invasive imaging of porous media. Your tasks will include:
- Establish experimental procedures to visualize biofilm distribution in soil columns using non-invasive imaging with X-ray computer microtomography and magnetic resonance imaging
- Use non-invasive imaging on soil columns to investigate the effect of flow velocity on the development of porosity and permeability during biofilm growth
- Use non-invasive imaging methods on soil columns to investigate how microbially-induced calcite precipitation affects the flow field as well as the development of porosity and permeability during biofilm growth and calcite precipitation
- Use the acquired experimental insights to improve REV-scale models describing microbially-induced calcite precipitation in cooperation with other projects in the SFB1313
Your Profile:
- Masters degree in natural or engineering sciences with an overall grade of at least “good”; preferably with a focus on modelling or monitoring of subsurface processes (e.g. environmental engineering, geosciences, or hydrology)
- Experience with data analysis or programming in Python, Matlab, Fortran, or C++
- Experience with microbiology techniques, nuclear magnetic resonance or x-ray computed tomography measurements is of advantage
- Ability to work independently as well as collaboratively in an international and interdisciplinary team across institutes; very good communication and organizational skills
- Very good command of the English language
More Details and Apply.
Title: PhD Position – High Dimensional Multi Omics Data Integration
Location: IBG-4 – Bioinformatics
Deadline: Open Until Filled
Summary:
You want to apply your data science knowledge to the basic research questions and societal challenges of our modern world? Our scientists in Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) address some of the most pressing issues of our time, such as energy transition, climate change and resource scarcity, brain function, drug design, identification of diseases at very early stages.
Your Job:
Your project has the aim to develop novel (interactive) workflow tools for high dimensional data integration and data mining. The data used should comprise multiple omics disciplines e.g. transcripts, metabolites and epigenetic sig-nals. Currently many analyses comprise ad-hoc methods or “standard” procedures that are disjunct. Within this project the main goals are
- Standardization and workflow development for such integrative data,
- developing integrative data mining and visualization tools and
- including data from public experiments and including data from different species.
Your Profile:
- High interest to apply your data science knowledge to bioinformatics
- MSc degree (or comparable) in bioinformatics, computer science, data science or in the natural sciences with a strong background in software development / engineering and/or data science
- Very positive university track record verified by bachelor and master study transcripts and two reference letters
- Expertise in javascript and modern web technologies on unix systems and in e.g. Java/C++/C or Rust
- Background in data science and/or machine learning
- Experience with plant data and metadata and corresponding acquisition/storage technologies as well as familiarity with R is a plus
- Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills
- Outstanding organizational skills and the ability to work independently
- Very good cooperation and communication skills and ability to work as part of a team in an international and interdisciplinary environment
More Details and Apply.
Title: PhD-Position – Development of scalable superconducting quantum systems
Location: PGI-13 – Quantum Computing
Deadline: Open Until Filled
The mission of the newly founded Institute for Functional Quantum Systems (PGI-13) is to create the technological and scientific basis to enable useful quantum computing. We focus on developing quantum devices, improving their coherence and materials, and implementing quantum gates and algorithms. We use superconducting qubits that operate at temperatures close to absolute zero and are controlled by high-speed signals. A key requirement is to preserve high quality quantum operations as we scale. Overcoming these exciting challenges lies at the interface between scientific research and engineering.
This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are:
- Design and fabrication of superconducting quantum circuits
- Setting up experimental systems for cryogenic measurements
- Development of a microwave quantum control & readout stack
- Development of Python code to operate quantum systems
- Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms
- Perform quantum device calibrations, benchmarking, and run quantum algorithms
- Presenting and publishing the research on an international stage
- Master in physics or electrical engineering
- Knowledge of solid state physics and/or quantum information
- Experience with programming, preferably with Python
- Fluent speaking and writing skills in English
- Team-oriented and highly motivated to work in an experimental laboratory
- A background in quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications
More Details and Apply.
Title: PhD Position – Theoretical condensed-matter physics
Deadline: Open Until Filled
As part of the MAGMA project (“Magnetic topological insulators for robust Majorana bound states”), which is funded by the European QuantERA program and by the national research agencies of Luxembourg, Germany and Spain, we offer a PhD position that is jointly organized by Forschungszentrum Jülich (FZJ) and the University of Luxembourg (UL). The aim of the project is to engineer Majorana bound states and to establish magnetic topological insulators as a platform for topological quantum computation.
our Job:
- Modeling and simulation of magnetic topological insulator-based hybrid nanodevices and superconducting qubits
- Participation in international conferences in Germany and abroad (incl. presenting your research results)
- Exchange with internal and external as well as national and international project partners, both theorists and experimentalists
- Preparing scientific publications and project reports
- Mentoring students
Your Profile:
- Master`s degree in physics, ideally with a specialization in condensed-matter physics
- Scientific expertise: Expertise in quantum mechanics, solid-state physics
- Methodological competence: Experience with programming
- Fluent command of written and spoken English
- High degree of independence and commitment
- Very reliable and conscientious style of working
- Excellent ability to cooperate and work in a team
Title: PhD Position – The role of CO2 as a resource in a global greenhouse gas-neutral energy system
Location: IEK-3 – Techno-economic Systems Analysis
Summary:
Your Job:
Your main task will be the integration of CO2 process chains into our global energy system model based on the FINE model framework. A particular focus will be on the use in power-to-liquid products as well as possible CO2 sources in a greenhouse gas neutral energy system.
In addition, we expect you to:
- contribute to the further development of the FINE model framework
- consider transport options for power-to-liquid products and CO2 in an integrated way
- develop possible demand projections for power-to-liquid products and CO2
- optimize the allocation of global production locations of power-to-liquid products and CO2
- supervise students
- present your research findings to the best of your ability at conferences and in professional journals
Your Profile:
- Excellent Master`s degree in natural sciences or engineering or a comparable course of study
- Very good knowledge of energy process engineering
- Knowledge of energy system modeling and energy economics is an advantage
- Programming skills, ideally in Python
- Fluent written and spoken English; German language skills advantageous
- Distinct ability to work in a team as well as the ability to work cooperatively
- Independent and analytical way of working
More Details and Apply.
Title: PhD Position – High Throughput Assembly, Characterization and Testing of Membrane Electrodes
Location: IEK-11 – Helmholtz Institute Erlangen-Nürnberg for Renewable Energy
Summary:
Your Job:
- Design and optimization of a high throughput setup for assembly and characterization of MEAs (catalysts and protective coatings)
- Design, build and validation of the project setup in collaboration with other PhD students
- Benchmarking state of the art materials and components as a baseline for the developed system
- Study of next-generation materials for electrolysis
- Close collaboration with data scientists and automation specialists to develop a reliable, fast, component testing process
- Excellent master‘s degree in process, electrical, chemical, or mechanical engineering or a related discipline
- Strong interest in pursuing research on electrochemical systems
- Experience in one (or more) of the following areas is desirable: electrochemistry, electrocatalysis, membranes, interfaces, automation, robotics and prototyping
- Intrinsic motivation to show initiative, creativity, and work independently
- Extraordinary cooperation and communication skills and the ability to work as part of an interdisciplinary team
- High motivation for pursuing a PhD within 3 years
- Excellent skills in spoken and written English
More Details and Apply.
Title: PhD Position – Model-Based Analysis and Optimization of Intra- and Inter-Chip Communication for High Speed Computing
Deadline: Open Until Filled
Combine your scientific interest and technical skills in the field of electrical engineering to create new knowledge for the socially and scientifically relevant areas of information, energy and bioeconomy. We offer you all of this at the Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2) with modelling, designing and developing the most innovative system solutions for science and society.
Join us in designing processors for high-performance computing made in Europe.
In 2018, the European Union started with the European Processor Initiative (EPI) a long-term program with the goal to develop a low-power High Performance Computing (HPC) processor, to increase Europe’s sovereignty in the processor market. One major goal is chip-architecture optimization in order to deliver a competitive product with maximum compute throughput in 2024. For this task, modeling of the intra- and inter-chip communication is paramount, as it enables the design teams to perform a quick and cost-efficient exploration of various architecture variants.
Within the ZEA-2 and in close collaboration with JSC, you will do your work on your thesis topic at the intersection between electronic design and High Performance Computing (HPC). Specifically, you will work in the context of modeling methodology and processor architecture exploration/optimization. Interest in practical programming as well as theoretic scientific work would be ideal prerequisites for this position.
Your tasks include in particular:
- Revisit state-of-art modeling techniques, with particular focus on the approaches developed in EPI
- Getting up-to-speed with the work of our industry partner, its environment and Virtual Prototyping (VP) approach
- Contribute to and collaborate with the SystemC modeling team
- Bridge the gap between industry’s SystemC VP and the research-oriented instruction set simulator gem5
- Identify performance bottlenecks of the HPC architecture with focus on the intra- and inter-chip communication interfaces
- Perform model-based exploration of architecture improvements
Your Profile:
- Master degree in electrical engineering, computer engineering, computer science, physics or similar fields
- Good analytical skills, and ability to master complex systems and problems
- Solid programming skills in C++ or another object-oriented language
- First experience in integrated circuit design and HPC would be beneficial
- Background in the areas of computer architecture, and multi-core processors is very helpful
- Knowledge of SystemC and/or gem5 would be ideal
- Willingness to work in an interdisciplinary and intercultural team
- Good capabilities in English, both written and spoken
More Details and Apply.
Title: PhD Position – Photonics based on SiGeSn heterostructures
Location: PGI-9 – Semiconductor Nanoelectronics
Deadline: Open Until Filled
Summary:
The integration of photonics components with electronics on the same microchip may potentially solve the bandwidth bottleneck in modern computers and allow devices with decreased power consumption. Nevertheless, light emission from Si -the material underpinning the whole digital world- is inefficient because of its indirect bandgap. Recently SiGeSn semiconductors, a Si-group alloys proved to be a strong candidate to finally add/extend the Si photonics with Si-based laser sources. Si-Ge-Sn heterostructures have been already tested in optoelectronic devices such as light emitting diodes, field effect transistors or detection pixels in the short-wave infrared range. However, energy efficient electrical pumped lasers, and more complex sensing and imaging devices are still to be demonstrated for practical applications.
Your Job:
Your primary scientific tasks will be:
- Growth and characterization of SiGeSn heterostructures by CVD
- Cleanroom fabrication of integrated photonic devices, such as waveguide coupled light emitters (LEDs, lasers) and photodetectors (PDs, APDs, SPADs)
- Large gated FETs devices for material characterization
- Optical and electrical characterization of the obtained devices
You will also be actively involved in:
- Preparation of scientific publications and presentations
- Exchange with national and international scientific partners
- Training and mentoring of undergraduate students
Your Profile:
- Master`s degree in physics, engineering or similar, ideally with a background in the field of semiconductor physics
- Basic knowledge in optical spectroscopy techniques
- Basic information on deposition methods
- Clean-Room experience is an advantage
- Enthusiasm and courage to explore uncharted territory, develop, and follow new ideas
- Ability to work both independently as well as a part of a team
- Fluent in written and spoken English
More Details and Apply.
Title: PhD Position – Cryogenic Digital-to-Analog Converter Design in CMOS for Quantum Computing Applications
Location: ZEA-2 – Electronic Systems
Deadline: Open Until Filled
Summary:
Combine your scientific interest and technical skills in the field of electrical engineering to create new knowledge for the socially and scientifically relevant areas of information, energy and bioeconomy. We offer you all of this at the Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2) with modelling, designing and developing the most innovative system solutions for science and society.
Your Job:
Our team is working on integrated circuits (ICs) which combine analog and digital components from modern CMOS technologies. One research focus is the development of ICs for scalable control and read-out of semiconductor quantum bits (qubits) for Quantum Computing (QC). The ICs will be operated at temperatures below 1 Kelvin, generating very special requirements on circuit design as well as ultra-low power consumption. The focus of this doctoral work will be on the design and implementation of a Digital-to-Analog Converter (DAC) operated at cryogenic temperatures with the goal of locally tuning qubits into their operational state. The addition of innovative digital-assistance techniques to boost the DAC’s performance should be evaluated and integrated depending on a trade-off to power and area.
Specific tasks are:
- Develop concepts of an improved DAC topology based on previous designs [1]
- Invent and evaluate novel digital-assistance techniques for improved DAC performance
- Implementation of the DAC and digital-assistance circuitry up to final layout in a modern 22 nm CMOS technology node using the Cadence implementation flow
- Pre- and post-silicon verification of the design including laboratory measurements
- Characterization of DAC performance at cryogenic temperatures below 1 Kelvin
Your Profile:
- University degree (Master) or comparable in electrical engineering, physics or similar fields
- First experience with integrated CMOS circuit design, preferably in mixed-signal design
- Knowledge of ultra-low power analog IC design
- Experience with Cadence Virtuoso ADE
- Basic knowledge of digital circuit description (VHDL or Verilog)
- Experience in MathWorks Matlab
- Good English communication capabilities and preferably good knowledge of German
Please apply for the position even if you do not have all the listed skills and knowledge.
More Details and Apply.
Title: PhD-Position: Data-driven modelling for power system operation
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
The increasing availability of data has motivated the whole scientific community in developing data-driven approaches (e.g. based on machine learning) for the analysis and operation of modern power systems. At IEK-10, you will focus on the development of new methodologies for the development of data-driven models using probabilistic machine learning approaches and demonstrate the use of such models in power systems operation. A large volume of data is available at IEK-10 for validation of the developed methods.
Your tasks in detail:
- Analysis of the current state of the art in data-driven modelling for power system operation
- Definition of machine learning approaches for creation and maintenance of energy devices models
- Development of a data basis and models for the energy infrastructures on the campus Forschungszentrum Jülich
- Validation of the simulation models on the basis of the energy infrastructures of the campus Forschungszentrum Jülich
- Implementation of the developed models for real time operation
- Evaluation of the developed approach using a Hardware-in-the-loop approach
- Evaluation of the developed approach in the framework of the Living Lab Energy Campus infrastructure
Your Profile:
- Excellent university degree (Masters) in Electrical/Electronic Engineering, Physics or a comparable field
- Strong mathematical and programming background
- Knowledge of modelling, preferably of energy systems
- Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
- Knowledge in data analysis / Big Data
- Experiences in mathematical optimization, simulation and machine learning
- Excellent ability for cooperative collaboration
- Very good communication skills in English
More Details and Apply.
Title: PhD Position – Coherent Control of Correlations in Spin Systems using Scanning Probe Methods
Location: PGI-3 – Quantum Nanoscience
Deadline: Open Until Filled
Summary:
Quantum Nanoscience is a novel research field in which quantum effects, such as quantum state superposition, entanglement and coherence, are studied in nanoscale systems. The goal of our research is to explore nanostructures with novel properties which eventually can be used in emerging quantum technologies, such as quantum computing, quantum communication, and quantum sensing. These quantum technologies drive the so-called second quantum revolution. We use our extensive knowledge in surface science and nanoscience to contribute to quantum nanoscience and its primary goal: the manipulation and exploitation of quantum-coherent functionality in nanostructures ranging from single atoms and molecules to collective phenomena in self-assembled or by means of atom manipulation techniques designed structures.
Your Job:
Your primary scientific tasks will be:
- Execution of scientific experiments on our new low-temperature (0.3K), high magnetic field (9T) combined scanning tunneling and atomic force microscope at the atomic scale
- Preparation of samples, data analysis and comparison with quantum models
- Utilization of time-resolved (pump-probe) and coherent microwave excitations on nanoscale structures for applications in quantum information and quantum technology
- Presentation and documentation of research results by means of posters, talks, and reports at national and international workshops, conferences and internal meetings
- Supervision of Master students (optional)
Your Profile:
- Master degree in physics or engineering sciences, with focus on solid state physics, surface science and/or quantum physics
- Experience with ultra-high vacuum systems, low-temperature scanning probe microscopy, spin resonance techniques and/or programming is desirable but not necessary
- Fluent in written and spoken English
- Motivation to actively work in our team
- High degree of independence and commitment
More Details and Apply.
Title: PhD Position – Graph Convolutional Neural Networks in computational enzyme engineering
Location: IBG-4 – Bioinformatics
Deadline: Open Until Filled
Summary:
Data is the new resource of the 21st century, and data availability seems endless. Would you like to establish part of the data relationship lifecycle for plant science? Then the Institute of Bioinformatics at Research Centre Juelich is the right place for you. The newly founded Institute of Bioinformatics (IBG-4) at the Institute of Bio- and Geosciences works on and develops methods and algorithms to understand, predict, and modulate molecular recognition involving biomolecules from an atomistic perspective. The team focuses on structural and molecular bioinformatics, data integration, computational enzyme engineering, computational next-generation catalysis, and computational biophysical chemistry. At Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we aim to educate and train the next generation of data scientists during their doctoral thesis in close contact to domain-specific knowledge and research in three application domains: Life and medical science, earth science, energy systems, and material science.
Your Job:
- Development and parameterization of machine learning models to guide enzyme engineering
- Iterative application of the machine learning models in cycles of predictions/experiments (together with collaboration partners)/re-training to increase performance and address additive and cooperative effects
- Publication and presentation of the results on (inter)national conferences and in scientific journals
Your Profile:
- Development and parameterization of machine learning models to guide enzyme engineering.
- Iterative application of the machine learning models in cycles of predictions/experiments (together with collaboration partners)/re-training to increase performance and address additive and cooperative effects.
- Publication and presentation of the results on (inter)national conferences and in scientific journals.
- Development and parameterization of machine learning models to guide enzyme engineering.
- Very good command of the English language (TOEFL or equivalent evidence)
- A high level of scholarship as indicated, for example, by bachelor and master study transcripts and two reference letters
More Details and Apply.
Title: PhD-Position: Operation of Local Energy Communities
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
The concept of organizing energy systems in Local Energy Communities (LEC) coordinated across multiple energy carriers has gained significant attention in the last few years as a way to combine local coordination with the need for national and international interconnection. In the EU framework, LECs have been recognized by the EU as a key component of the energy transition. The European Commission’s Clean Energy Package has also defined a legislative framework for the operation of LECs that aim at participation of LECs in energy markets. While coupling of multiple energy carriers seems a promising solution to further reduce carbon emission and to maximize generation from renewable sources, their coordinated operation is still a challenge.
Your tasks in detail:
- Analysis of the current state of the art in operation of energy communities and their interface to grids (electrical, heating and gas grids).
- Definition of methodologies to coordinate operation of LEC in a holistic manner across multiple energy carriers – including electrical, heating and gas grids.
- Definition of decentralized approaches based on edge execution
- Real-time implementation and validation of the developed methods
Your Profile:
- Excellent university degree (Masters) in Electrical/Electronic Engineering, Physics or a comparable field
- Strong mathematical and programming background
- Knowledge of modelling, preferably of energy systems
- Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
- Excellent ability for cooperative collaboration
- Very good communication skills in English
More Details and Apply.
Title: PhD Position – Chemical mechanism development of atmospheric VOC degradation aided by pattern analysis of high-resolution mass spectrometric data
Location: IEK-8 – Troposphere
Deadline: Open Until Filled
Summary:
At the Institute for Energy and Climate Research, Troposphere (IEK-8), we investigate the chemical and physical processes in the troposphere that impact the chemical composition of the atmosphere. Organic compounds impact the air quality and climate change. Their oxidation chemistry leads to highly oxygenated organic molecules (HOM) and secondary organic aerosol (SOA) formation. We explore photochemical degradation of organic compounds by applying chemical ionization mass spectrometry. The high resolution mass spectrometry provides a multitude of simultaneous information about the oxidized organic species evolving in the degradation process.
Your Job:
The PhD work will maximize the use of such mass spectrometric information in a model-based prediction-comparison-refinement approach, which comprises:
- Generating chemical mechanisms applying structure activity relationships (SARs) for organic radical chemistry based on an established approach (GeckoA).
- Running model simulations based on that explicit mechanism for the conditions of our experiments in the simulation chambers SAPHIR and SAPHIRSTAR
- Categorizing the products/intermediates in the model, to visualize their correspondence to the mass spectrometric measures
- Identifying the important pathways and pruning the unimportant pathways
- Optimization of the GeckoA/SAR input and reruns to improve the predictive capability of the mechanism relative to its agreement with the mass spectrometric data.
- Support of SAPHIR and SAPHIRSTAR experiments by model predictions from existing operational chamber models
The PhD work will be done within a three-year program of the Graduate School HITEC. Goal of the thesis work is an up-to-date description of the atmospheric formation of (highly) oxygenated organic molecules for improved atmospheric SOA predictions.
Your Profile:
- Master’s degree in physics, chemistry, environmental sciences, or a related field
- Experience in programming, numerical modelling or knowledge about atmospheric chemistry and mass spectrometry are advantageous
- Good skills in the spoken and written English language
- Outstanding organizational skills and the ability to work independently
- Very good cooperation and communication skills and ability to work as part of a team in an international and interdisciplinary environment
- High interest in the field of high-resolution mass spectrometry
More Details and Apply.
Title: PhD position – Development and application of high-performance models for the analysis of European energy systems
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10 we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost efficient and safe design and operation of future energy systems.
Your Job:
- Modelling and analysis of the European energy markets
- Modeling and analysis of Europeans power and gas grids
- Development of energy scenarios
- Development of a data basis and models for the erngy infrastructures of the European Electricity market
- Development and programming af a simulation platform that is able to capture the interaction between markets and grids using HPC infrastructures
- Development of integrated software tools for automated data analysis
- Integration of web interfaces for user-friendly operation and application
Your Profile:
- Very well completed scientific university studies in Electrical Engineering, Mechanical Engineering, Energy economist
- Strong mathematical background
- Very good knowledge of European Energy Markets and their regulation
- Interest in energy systems and energy infrastructures, especially regarding power and gas grids
- Very good knowledge of modelling, preferably of energy systems
- Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
- Ability to accurate handle big data
- Experience with HPC infrastructures are welcome
- Excellent ability for cooperative collaboration
- Very good communication skills in English
More Details and Apply.
Title: PhD position – Use of Hardware Solutions for Modern Energy System Simulation and Control
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependency of material and energy flows. Our research at the IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
More Details and Apply.
Title: PhD Position – Methodical Conception, Design and Development of Modern Multi-Modal Energy System Simulation
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as ba a high degree of interdependence of material and energy flows. Our research at the IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
- Analysis of the current state of the art in continuous and discrete simulation
- Development of innovative approaches for the simulation of multi-modal energy systems with the aid of hybrid simulation and co-simulation
- Validation of the approaches with benchmark and real-world energy system models
Your Profile:
- M.Sc. degree in Computer Science, Mathematics, Computer Engineering or a comparable course of studies
- Advanced knowledge of at least one of the following subject areas: automata theory, formal languages, numerical mathematics, modeling and simulation theory, discrete-event simulation, co-simulation
- strong mathematical background
- Knowledge and experience in programming, preferably in C or C++
- Excellent ability for cooperative collaboration
- Very good communication skills in English
- Preferably Knowledge in implementing electrical circuits and measuring setups or in modeling and simulation of energy systems
More Details and Apply.
Title: PhD-Position – Conception, Design and Development of Multi-FPGA Simulation Methods for Real-time Verification of Power Electronics enabled Energy Systems
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
- Analysis of the current state of the art in real-time simulation methods
- Development of simulation methods for multi-FPGA platforms
- Programming of a simulation solution that is able to execute on multi-FPGA platforms with execution time below 50ns
- Development of test case and scenarios for the evaluation of the developed platform
- Development of simulation interfaces between the developed simulator and commercial products
- Validation of the simulation models on the basis of the energy infrastructures of the campus Forschungszentrum Jülich
Your Profile:
- M. Sc. degree in electrical/electronic engineering, computer or computational science or a related field with good final grade (German system equivalent 2.0 or better)
- Strong mathematical and programming background
- Knowledge of modelling, preferably of energy systems
- Previous experience with FPGA programming (VHDL, Verilog)
- Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
- Excellent ability for cooperative collaboration
- Very good communication skills in English
More Details and Apply.
Title: PhD position – Development and application of high-performance models for the analysis of European energy systems
Position Type: Full time
Location: Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) (Helmholtz Centers)
Deadline: Open Until Filled
Your Job:
- Modelling and analysis of the European energy markets
- Modeling and analysis of Europeans power and gas grids
- Development of energy scenarios
- Development of a data basis and models for the erngy infrastructures of the European Electricity market
- Development and programming af a simulation platform that is able to capture the interaction between markets and grids using HPC infrastructures
- Development of integrated software tools for automated data analysis
- Integration of web interfaces for user-friendly operation and application
Your Profile:
- Very well completed scientific university studies in Electrical Engineering, Mechanical Engineering, Energy economist
- Strong mathematical background
- Very good knowledge of European Energy Markets and their regulation
- Interest in energy systems and energy infrastructures, especially regarding power and gas grids
- Very good knowledge of modelling, preferably of energy systems
- Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
- Ability to accurate handle big data
- Experience with HPC infrastructures are welcome
- Excellent ability for cooperative collaboration
- Very good communication skills in English
More Details and Apply.
Available Postdoctoral and Research Positions at Helmholtz Centers
Postdoctoral and Research Positions at Helmholtz Centers are listed below, along with details and the application deadline.
Title: Researcher – Prospective Ecological Assessment of Energy Technologies
Deadline: Open Until Filled
Your Job:
- You will develop methods for the prospective life cycle assessment of novel, climate-friendly energy technologies, e.g. Power-2-X
- You will validate these methods on different process routes for the use of regenerative energies for Power-2-X strategies
- In this way, you support an integrative sustainability assessment of energy technologies.
- You publish your scientific results in renowned journals and present them at national and international conferences
Your Profile:
- An above-average university degree (master) in the field of engineering, natural or environmental science or related disciplines
- Very good knowledge of Life Cycle Assessment
- Profound knowledge of chemical process technology
- Familiarity with programming (z. B. Python) preferable
More Details and Apply.
Title: Postdoc – Cryogenic CMOS for Quantum Computing Applications
Location: ZEA-2 – Electronic Systems
Deadline: Open Until Filled
Summary:
Combine your scientific interest and technical skills in the field of electrical engineering to create new knowledge for the socially and scientifically relevant areas of information, energy and bioeconomy. We offer you all of this at the Central Institute of Engineering, Electronics and Analytics – Electronic Systems (ZEA-2) with modelling, designing and developing the most innovative system solutions for science and society.
Your Job:
- Conceptualize, implement and perform cryogenic characterization of CMOS devices and circuits inside cryostats at temperatures below 10 K
- DC, RF S-parameter (up to 20GHz) and noise measurements
- Work together in close cooperation with device modelling companies and CMOS manufacturing companies to generate a cryo-PDK for a 22nm FDSOI CMOS process
- Take responsibility for operation and maintenance of cryostats
Your Profile:
- PhD or Master in electrical engineering, physics or similar fields
- Experience in cryogenic experiments, preferably in the sub-Kelvin range
- Experience with CMOS device physics is a plus
- Experience in MathWorks Matlab would be helpful
- Good command of the English language
More Details and Apply.
Title: Postdoc – Global Energy Systems Modeling
Location: IEK-3 – Techno-economic Systems Analysis
Deadline: Open Until Filled
Summary:
Achieving a greenhouse gas-neutral energy supply is one of the greatest challenges of the 21st century. At the Institute of Energy and Climate Research – Techno-Economic Systems Analysis (IEK-3), we use integrated models to explore how possible cost-effective transformation strategies must be designed to achieve this. Become part of our international research team and contribute your ideas and creativity on how a future global greenhouse gas neutral energy system could look like.
Your Job:
To support the transformation of the global energy system, orientation knowledge for politics, industry and society is needed. Help us to further develop open source decision support models for the energy transition and thus generate new insights.
Your main area of responsibility will be the modeling of the global energy transition using the FINE model framework. Thereby, there is a large scope to determine the exact research direction in joint consultation. In addition, you will be expected to support project management and acquisition tasks.
In addition, we expect you to:
- contribute to the further development of the FINE model framework
- develop approaches to keep global energy system models computable as well
- implement innovative ideas for the analysis and visualization of large sets of results
- supervise students and PhD students
- present your research results in the best possible way at conferences and in scientific journals
Your Profile:
- Excellent master`s degree in science or engineering or a comparable field of study
- Doctorate in the field of energy systems modeling
- Very good knowledge of energy technologies and economics
- Basic knowledge of mathematical optimization methods
- Programming skills ideally in Python
- Fluency in written and spoken English; knowledge of German advantageous
- Distinct ability to work in a team as well as the ability to work cooperatively
- Independent and analytical way of working
More Details and Apply.
Title: Postdoc Positions – Automated Parameter / State Estimation, Uncertainty Quantification, and Optimal Control for Epidemiological Models
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
IEK-10 and IBG-1 invite applications for two positions in computational epidemiology. Having broad expertise in optimization, parameter estimation and optimal control, we teamed up with further Helmholtz Centers to propose the development of a Helmholtz Platform for Early Detection and Management of Epidemic Outbreaks. The platform shall integrate data streams from various sources and utilize machine learning as well as SEIR-type epidemiological models to detect outbreaks, track and predict the course of infection, and derive optimal intervention strategies under data uncertainty. For this, suitable models, state-of-the-art methods, and cutting-edge algorithms shall be integrated into automatized workflows that enable real-time analysis of incoming data streams, simulation, and optimization as well as interactive visualization of the results in a unified web application. The platform will be rolled out in cooperation with the Academy for Public Health Services to selected local health authorities in Germany, where it shall be operated and validated under real-world conditions.
Your Job:
Development of this platform is about to start in January 2022, and we are now looking for two candidates with strong commitment to bring state-of-the-art research algorithms into production software. The postdoc candidates will be responsible for contributing the functionalities related to automated parameter/state estimation, uncertainty quantification, and optimal control. The advertised positions therefore center on the orchestration and implementation of numerical methods and statistical algorithms from the research domain into a fully automated workflow that becomes a core part of the envisioned platform. To this end, we will work closely with the Jülich Supercomputing Centre (JSC) operating one of the top-10 supercomputers. Furthermore, extensive collaboration and joint software development with our partners from the Helmholtz Association will be integral to the project. As the platform is supposed to be used by non-scientific personnel, also knowledge transfer plays an important role. Particularly, features and functionalities of the platform shall be developed according to FAIR and open principles and tested jointly with the potential end users.
Your Tasks in Detail:
- Transfer methods and algorithms related to parameter/state estimation, identifiability analysis, uncertainty quantification and optimal control from the research domain to a real-world application for detection and management of epidemic outbreaks
- Orchestrate and implement relevant methods and algorithms into fully automated real-time workflows
- Link and coordinate all software development activities with the participating partners
- Develop features and functionalities jointly with the potential end users
- Perform extensive testing and validation under (close-to-)real-world conditions
- Contribute to the creation of training materials and on-site trainings
- Publish findings, software and reports on the developed tools in scientific journals
Your Profile:
- Very good Master’s and subsequent PhD degree in computational engineering, simulation/data science, physics, applied mathematics or a relevant discipline
- Expert knowledge in parameter/state estimation, uncertainty quantification and numerical optimization applied to differential-algebraic models
- Expert knowledge in data analysis and machine learning
- Expert knowledge in software development and workflow automation
- Excellent skills in spoken and written English
- Excellent organizational and time-management skills and the ability to work independently
- Excellent cooperation and communication skills and commitment to work as part of a team
- Strong desire to translate research findings into society and make a difference
More Details and Apply.
Title: Postdoc in the domain of coherent spin shuttling for scaling semiconductor qubits
Location: PGI-11 – JARA-Institute Quantum Information
Deadline: Open Until Filled
Summary:
The JARA-Institute for Quantum Information (JARA-QI), headed by David DiVincenzo and Hendrik Bluhm conducts theoretical research on many aspects of quantum computing and experimental research on semiconductor qubits. The institute has two parts, located at the sites Forschungszentrum Jülich GmbH and RWTH Aachen University, under the umbrella of the Jülich-Aachen Research Alliance (JARA).
Your Job:
Building on in-house fabricated devices, we have recently demonstrated the ability to shuttle electrons between gate defined quantum dots in Si/SiGe over micron-scale distances using only four different AC-voltages, independent of the distance covered . Theoretical consideration indicate good prospects for maintaining spin-coherence of the shuttled electron, which would make this approach very promising for scaling up semiconductor spin qubit devices. This position focuses on experimentally demonstrating coherent spin shuttling, shuttling-compatible high-fidelity qubit control and further ingredients for a shuttling-based architecture, using devices from academic or industrial fabrication.
Key activities can include:
- Demonstration and experimental characterization of spin coherence during shuttling
- Shuttling-compatible demonstration of high-fidelity qubit control
- Demonstration of T-Junctions (Fig. 1(b)) as step towards qubit grids
- Advancement of a shuttling based architecture with 2D-connectivity
- Migration to industrially fabricated devices
Your Profile:
- PhD in physics
- In-depth experience with quantum control experiments on quantum dot qubits
- Good software development skills
- Experience with sub-Kelvin cryogenic techniques
- Strong aptitude for mentoring students
- Good communication skills
- A strong drive to conduct ambitious, cutting edge research towards scalable quantum computing
- A research track record commensurate with our ambition
More Details and Apply.
Title: Postdoc Position – MIEK-10 – Energy Systems Engineeringodelling and Simulation of Energy Grids
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
The increasing share of fluctuating renewable energies in electricity generation leads to increased volatility as well as a strongly changed distribution of the power fed into the grid. This increases the requirements on the flexibility of the system and the operation of power grids. Additional electricity demand to decarbonize various energy sectors, such as transport and heating, as well as intersectoral flexibility options such as power-to-X lead to increasing sectoral interdependencies. Your task is to support our institute in the development of multi-modal energy models that are able to analyze this interaction of energy networks (electricity, gas, heat) and markets at high resolution.
Your areas of research will include among others:
- Analysis of current and future flexibility options, PtX technologies and industrial processes
- Evaluation of how sector coupling can be used to increase the flexibility of power systems, e.g. V2G technologies, and design of new methods and measures for optimisation
- Development of new methods in modelling and analysis of local and regional energy grids
- Analysis of the stationary and dynamic characteristics of current and future energy systems characterized by high shares of renewable energies and increasing sector coupling
Your tasks will include among others:
- Conducting research in the framework of the topic listed above
- Modeling and programming of energy systems
- Supervision of students and doctoral candidates
- Acquisition and leading of research – third-party founded – projects
- Representation in national and international networks
- Presentation of your research results at (international) meetings and conferences, as well as in the form of publications in relevant journals
- Supporting the director in teaching and exercises for students
Your Profile:
- Excellent Master’s degree in electrical engineering or a comparable field
- A Ph.D. relating to energy systems, power systems modelling and simulation
- Deep understanding of energy markets and grids
- Extensive experience in static and dynamic modelling of grids
- Programming skills, preferably in Python, Matlab and C
- Fluent written and spoken English and/or German
- Excellent ability to work as part of a team and in a cooperative manner
- Independent and analytical style of working
More Details and Apply.
Title: Postdoc – Coherent Control of Correlations in Spin Systems using Scanning Probe Methods
Location: PGI-3 – Quantum Nanoscience
Deadline: Open Until Filled
Summary:
Quantum Nanoscience is a novel research field in which quantum effects, such as quantum state superposition, entanglement and coherence, are studied in nanoscale systems. The goal of our research is to explore nanostructures with novel properties which eventually can be used in emerging quantum technologies, such as quantum computing, quantum communication, and quantum sensing. These quantum technologies drive the so-called second quantum revolution. We use our extensive knowledge in surface science and nanoscience to contribute to quantum nanoscience and its primary goal: the manipulation and exploitation of quantum-coherent functionality in nanostructures.
Your Job:
- Design and execution of scientific experiments on our low-temperature scanning probe microscopes
- Development and utilization of time-resolved (pump-probe) and coherent microwave excitations on nanoscale structures for applications in quantum information and quantum technology
- Sample preparation, data evaluation and comparison with elaborated models
- Presentation and documentation of research results by means of posters, talks, and reports at national and international workshops, conferences and internal meetings
- Supervision and support of Master and PhD students
Your Profile:
- Master`s degree and PhD in physics or engineering sciences, with focus on solid state physics and/or surface science
- Experience with ultra-high vacuum systems, low-temperature scanning probe microscopy and/or spin resonance techniques
- Excellent skills in designing and execution of experiments
- Motivation to actively work in our team
More Details and Apply.
Title: Postdoc – HPC solutions for Energy Systems
Location: IEK-10 – Energy Systems Engineering
Deadline: Open Until Filled
Summary:
At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.
Your Job:
Computing performance plays a very critical role in the use of model-based approaches to the planning, design, and operation of energy systems. At IEK-10, the department of High-Performance Computing focuses on the development of innovative methodologies for the parallelization of simulation algorithms as well as on the best exploitation of hardware architectures. In this context, we are developing an innovative solver for the simulation of multi-modal energy system with founding from Helmholtz Foundation and DFG.
Your areas of research will include among others:
- Define innovative parallelization algorithms for DAE and ODE systems
- Explore the use of heterogenous architectures for best runtime performance
- Supervision of students and doctoral candidates
- Acquisition and leading of research projects
- Representation in national and international networks
- Presentation of your research results at (international) meetings and conferences, as well as in the form of publications in relevant journals
Your Profile:
- Very well completed scientific university studies (Master’s with subsequent PhD) in electrical/electronic/computer engineering, computer or computational science
- Strong mathematical background
- Extended publication record
- Excellent knowledge and experience in programming (Python, C, C++)
- Excellent knowledge of state-of-the-art parallel programming paradigms (e.g. MPI, OpenCL, SYCL)
- Very good communication skills in English
Furthermore you have significant previous experience in at least two of the following areas:
- Classical parallel computer architectures (i.e. shared and distributed memory)
- Heterogeneous computer architectures with accelerators such as FPGAs
- Energy systems modelling
More Details and Apply.
Title: Postdoc – Development of scalable superconducting quantum systems
Location: PGI-13 – Quantum Computing
Deadline: Open Until Filled
Summary:
The mission of the newly founded Institute for Functional Quantum Systems (PGI-13) is to create the technological and scientific basis to enable useful quantum computing. We focus on developing quantum devices, improving their coherence and materials, and implementing quantum gates and algorithms. We use superconducting qubits that operate at temperatures close to absolute zero and are controlled by high-speed signals. A key requirement is to preserve high quality quantum operations as we scale. Overcoming these exciting challenges lies at the interface between scientific research and engineering.
Your Job:
This position focuses on developing, operating, and characterizing superconducting quantum devices. Your tasks in detail are:
- Development of novel methods for experimentation, fabrication, and characterization
- Develop gate implementations, benchmarking and algorithms
- Work on the interdisciplinary challenges in systems engineering
- Install and improve experimental setups and fabrication tools
- Supervising and guiding Master and PhD students
- Active participation in project meetings and events
- Presenting and publishing the research on an international stage
Your Profile:
- PhD in physics or related with a background in the field of experimental quantum information
- Deep knowledge of solid state physics and/or quantum information
- Experience with microfabrication and/or operating and calibrating quantum systems
- Experience with hardware interfacing programming in Python
- Team-oriented and highly motivated to work in an experimental laboratory
- A background in quantum computing as well as experience with cryogenics, signal delivery, materials optimization, and microwave control are highly preferred qualifications
More Details and Apply.
Title: Postdoc for Quantum Computing – Algorithms, Benchmarking and Simulations
Deadline: Open Until Filled
Your Job:
- Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC
- Advancing JUNIQ’s user platform by integrating QCs into the Modular Supercomputer of JSC
- Developing and conducting trainings for QC users
- Collaborating with project partners from academia and industry
- Presenting research outcomes to project stack-holders and the research community at meetings, conferences and by publishing in high-impact journals
Your Profile:
- Master`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or related
- Experience in quantum computer programming
- Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as QAA and QAOA
- Experience in cloud computing and building cloud computing infrastructure
- Interest and/or experience in developing and conduction lectures and/or trainings for QC
- Proficiency in writing numerical software, preferably in C++ and Python
- Excellent command of written and spoken English, command of German is helpful
More Details and Apply.
