2022 Fully Funded PhD and Postdocs at National Institute for Research of France (Inria)

Title: PhD Position F/M Development of control strategies for synthetic microbial consortia (funded PhD offer)

• Theme/Domain: Optimization and control of dynamic systems
  Biologie et santé, Sciences de la vie et de la terre (BAP A)
• Town/city : Montbonnot
• Inria Center : CRI Grenoble – Rhône-Alpes
• Starting date: 2022-10-01
• Duration of contract : 3 years
• Deadline to apply: 2022-08-31

Main activities:

The main activities are those typical of interdisciplinary research. They include: literature reading, scientific development, programming and simulation, data processing, reporting and presentation, paper and thesis manuscript writing, collaboration with the team, the supervisors and other scientific partners, participation to conferences and workshops. Course-taking and teaching activities in accordance with doctoral school rules.

Skills:

The interested candidate should have a solid preparation in mathematical analysis (dynamical systems) and control theory, as well as familiarity with or strong interest in biology/biotechnological applications. Some knowledge of machine learning is a plus. He/she will be working in a collaborative and international environment, and is thus expected to be open to scientific interaction, and to be proficient in English.

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Apply here.

Title: PhD Position F/M Adaptive sampling strategies for nonlinear dimension reduction in uncertainty quantification

• Theme/Domain: Optimization, machine learning and statistical methods
  Scientific computing (BAP E)
• Town/city: Montbonnot
• Inria Center: CRI Grenoble – Rhône-Alpes
• Starting date: 2022-09-01
• Duration of contract: 3 years
• Deadline to apply: 2022-08-31

Skills:

This PhD work is at the crossroad between numerical analysis, statistics and machine learning. Candidates must have good knowledge for at least one of these domains and the motivation to quickly acquire the missing complementary skills. This research work will involve both theoretical developments and practical implementations. Candidates should have demonstrable experience and skill in some of the following topics : scientific creativity, autonomy, writing abilities, oral communication skills (English and/or French), and taste for teamwork.

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

• Gross Salary per month: 1982€brut per month (year 1 & 2) and 2085€ brut/month (year 3)

 Apply here.

Title: Post-Doctoral Research Visit F/M Post-Doc fellowship in the framework of CWI-Inria International Lab

Contract type : Fixed-term contract

Level of qualifications required: PhD or equivalent

Fonction: Post-Doctoral Research Visit

Deadline to apply: 15.08.2022

Town/city: Amsterdam or any Inria Research Centers in France

Duration of contract: 2 years

Summary:

Conduct cutting-edge research within the scientific topics addressed by Inria, engage in collaborative research and publish outputs in international peer-reviewed venues.

Candidates interested in the projects currently supported are welcome to submit their application to a post-doctoral fellowship. Candidates are strongly encouraged to get in touch with the PIs of these projects, either at CWI, or at Inria.

Candidates pre-selected by the teams will be assessed by the International Relations Department and evaluated by scientific experts. The funding is granted by Inria International Relations Department.

Positions are funded up to two years, with a start date between Nov 1, 2021 and Jan 1, 2022

Apply here.

Title: PhD Position F/M Time-guaranteed and reliable execution for safety-critical multicore systems

Contract type : Fixed-term contract

Level of qualifications required: Graduate degree or equivalent

Function : PhD Position

Deadline to apply: 30.06.2022

Theme/Domain : Architecture, Languages and Compilation System & Networks (BAP E)

Duration of contract : 3 years

Skills:

Required expertise

• Good knowledge of computer architecture, embedded systems and real-time systems
• Mathematical methods and probabilities
• Working experience in the areas of Worst Case Execution Time and fault tolerance is an advantage
• Programming experience in C/C++ and python
• Familiarity with FPGA design and/or High-Level Synthesis.

A master in Computer Science, Computer Engineering, or Electrical Engineering is required. An equivalent engineering degree (5th year) enabling to start doctoral studies is also accepted.

Languages and skills:

• Very good communication skills in oral and written English.
• Open-mindedness, strong integration skills and team spirit.
• Mostly importantly, we seek highly motivated people.

Benefits package

• Subsidized meals
• Partial reimbursement of public transport costs

 Apply here:

Title: Post-Doctoral Research Visit F/M Postdoc Position / Generation of weak signals in the context of multimodal oral-based communication

• Theme/Domain : Language, Speech and Audio
  Scientific computing (BAP E)
• Town/city : Villers lès Nancy
• Inria Center : CRI Nancy – Grand Est
• Starting date : 2022-09-01
• Duration of contract : 1 year, 4 months
• Deadline to apply : 2022-06-20

Required qualifications:

Strong background in computer science, machine learning and deep-learning techniques.

Language:

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

Salary: 2653€ gross/month

Title: PhD Position F/M Ensuring confidentiality in modern Out-of-Order cores

• Theme/Domain: Architecture, Languages and Compilation
• Town/city : Rennes
• Inria Center: CRI Rennes – Bretagne Atlantique
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-06-17

Assignment:

By focusing on performances or energy consumption, modern cores lack the possibility to enforce strong security guarantees have the numerous attacks such as Spectre and Meltdown have shown. Side channels have been demonstrated to be possible on such cores, by exploiting timings (cache timing attacks), power consumption or electromagnetic radiation. Out-of-order cores are particularly vulnerable since speculative execution can be tricked into leaking data.

Main activities:

In more details, the work must

• prevent timing covert channels. A solution has been demonstrated on simpler in-order cores, but should be scaled to a modern out-of-order core.
• prevent Spectre-like attacks by forbidding or limiting speculation in the relevant situations.
• propose a RISC-V extension to guarantee constant time execution of instruction sequences.

Skills

Required skills:

• Hardware design (VHDL, Verilog, SystemC, Chisel, …).
• Deep knowledge of modern computer architectures.
• Software programming for embedded systems (C, C++, Rust, …).
• Bare metal programming: cross-compilation, tuning linker scripts.
• Can read, write and speak English.
• Good team member: the core development will be a team effort.

Bonus skills:

• Hardware security: side channels.
• Git workflow, continuous integration, …

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs

Apply here:

Title: PhD Position F/M Privacy-Preserving Federated Machine Learning

• Theme/Domain: Data and Knowledge Representation and Processing
  Statistics (Big data) (BAP E)
• Town/city: Villeneuve d’Ascq
• Inria Center: CRI Lille – Nord Europe
• Starting date: 2022-10-01
• Duration of contract : 3 years
• Deadline to apply: 2022-06-02

Assignment:

Questions of particular interest include (but are not limited to):

• Optimization algorithms for decentralized/federated machine learning
• Differential privacy approaches for decentralized/federated machine learning
• Secure computation for decentralized/federated machine learning
• Applications to the medical domain

Main activities:

1. Review and follow the existing literature on decentralized and federated algorithms
2. Propose new algorithms and prove theoretical guarantees (on convergence/privacy/security…)
3. Numerically evaluate the performance of the proposed approaches, possibly on real use-cases
4. Publish and present results in top machine learning conferences and journals

Skills:

• A good command of English
• A strong background in computer science and/or mathematics
• A good knowledge of machine learning, statistics and/or security
• Preferably some knowledge on distributed systems
• Some experience with implementation and experimentation
• A broad interest for the topic of privacy is a plus

Apply here:

Title: Post-Doctoral Research Visit F/M Post-doctoral research fellowship OR research scientist in modelling of the immune response to vaccine

Contract type : Fixed-term contract

Level of qualifications required: PhD or equivalent

Theme/Domain: Optimization, machine learning and statistical methods Data production, processing, analysis (BAP D)

Town/city: Talence

Duration of contract: 12 months

Main activities:

We propose to build strategies around these topics including covariate model building, selecting the best penalization this covariate model building and down selecting parameters on which random effects are mandatory to model the inter-individual variability, Estimation will be based on likelihood optimization based on the SAEM algorithm as implemented in lixoft Monolix suite. All
development will be made in R. Part of this work will be done in collaboration with Marc Lavielle from Inria Saclay Xpop at Ecole Polytechnique.
Other integrative analysis such as exploratory analysis may also be achieved on the data generated in the Nipah project. In particular, Principal component analysis (PCA) which is a technique for reducing the dimensionality of large datasets, increasing interpretability but at the same time minimizing information loss. Part of this work will be done in collaboration with Jérémie Guedj from Inserm IAME, Université de Paris.
The candidate will be integrated in a team of biostatisticians and modelers working on related topics:
modeling of HIV vaccine response. The candidate will benefit from a very attractive environment with computing facilities and close collaborations with mathematicians (from INRIA and INSERM research centers)
and immunologists (from the Labex Vaccine Research Institute).

Skills:

level.
Experience in biostatistics and computational biology is highly recommended. Previous work in immunology/Vaccinology, systems biology will be highly appreciated but not mandatory.
The expected starting date can be as soon as possible. Salary will follow Inserm rates and can be negotiated to be higher depending on previous experience and skills

Apply here:

Title: Post-Doctoral Research Visit F/M Transparent privacy-preserving AI

• Theme/Domain: Security and Confidentiality
  Statistics (Big data) (BAP E)
• Town/city: Villeneuve d’Ascq
• Inria Center: CRI Lille – Nord Europe
• Starting date: 2022-07-01
• Duration of contract: 12 months
• Deadline to apply: 2022-05-31

Main activities:

• Contribute to the research of the TIP project
• Collaborate with other team members
• Collaborate with engineers to prototype proposed algorithms and validate them
• Disseminate research results

Skills:

• a strong research background in the domain of the project (or at least a specific area relevant to the project, e.g., see “assignments”).
• good communication and reporting skills
• proficiency in English

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

Gross monthly salary (before taxes) : 2 653 €

Title: PhD Position F/M Using Data Science to derive stochastic models for parallel applications scheduling

Theme/Domain: Distributed and High Performance Computing
Statistics (Big data) (BAP E)

Town/city: Talence

Inria Center: CRI Bordeaux – Sud-Ouest

Deadline to apply: 31.05.2022

Contract type: Fixed-term contract

Level of qualifications required: Graduate degree or equivalent

Summary:

The project is in the context of the national collaboration between centres in Grenoble, Lyon and Bordeaux. It is focused on a new vision for modelling jobs for the design of supercomputers. Based in Bordeaux within the Inria project-team Tadaam, it will be co-supervised by Guillaume Pallez and Fanny Dufossé.

The start date for the PhD is September/October 2022, but ideally we are looking for someone to start first with a (paid) M2 internship on the topic.

The main activities are those typical of a PhD. They include: literature reading, scientific development, programming and simulation, data processing, reporting and presentation, paper and thesis manuscript writing, collaboration with the team, the supervisors and other scientific partners, participation to conferences and workshops. Course-taking and teaching activities in accordance with doctoral school rules

Skills:

– advanced knowledge in statistics (such as Bayesian optimization, active learning)
– good knowledge in probability theory
– Knowledge in a scripting language for data science (R, python)
– some knowledge and interest in algorithmic design
– good level in English (written)

Title: Post-Doctoral Research Visit F/M Post-doc / R&D engineer in decision and trajectory planning for autonomous vehicles

• Theme/Domain: Robotics and Smart environments
  Software engineering (BAP E)
• Town/city: Paris
• Inria Center: CRI de Paris
• Starting date: 2022-01-03
• Duration of contract: 12 months
• Deadline to apply: 2022-05-31

Main activities:

• Research: Offer maneuver decision and trajectory planning solutions
• Development of corresponding algorithms and interfaces
• Integration on experimental platforms
• Writing of the documentation of algorithms, reports, deliverables and scientific articles
• Supervision of doctoral students in their field of research

Additional activities:

• Present the progress of the work to colleagues, partners and other audiences
• Represent the team to public or international bodies
• Help with setting up collaborative projects

Skills:

Knowledge or mastery in handling digital maps is a plus (OSM, HERE…).

The candidate must be fluent in English at least as a scientific exchange language; French is a very significant asset.

The candidate must have good interpersonal skills, favour teamwork and be ready to discuss in a multinational environment.

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking
• Flexible organization of working (hours after 12 months of employment)
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training

Apply here:

Title: PhD Position F/M Integrated localization and mapping for autonomous vehicles

• Theme/Domain: Robotics and Smart environments
  Scientific computing (BAP E)
• Town/city: Paris
• Inria Center: CRI de Paris
• Starting date: 2022-01-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-31

Main activities:

• Research: research in sensor-based localization and integrated mapping solutions
• Development of algorithms and interfaces corresponding to the solutions found
• Integration on experimental platforms
• Writing of the documentation of algorithms, reports, deliverables and scientific articles
• Supervision of trainees in his(her)field of research

Additional activities:

• Present the progress of the work to colleagues, partners and other audiences
• Represent the team to public or international bodies
• Help in demonstrations and showcases in the framework of collaborative projects

The candidate having to master at least one programming language (C, C ++, Python, etc.).

Knowledge of a development environment (ROS, RTMAPS, etc.) is a facilitating advantage,

Knowledge or mastery in handling digital maps is a plus (OSM, HERE…).

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking
• Flexible organization of working hours(after 12 months of employment)
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training

Apply here:

Title: Post-Doctoral F/H (Campaign POSTDOC MI-NF-GRE-2022) Kernel-based Sensitivity Analysis of Hypoelliptic Systems

• Theme/Domain: Stochastic approaches
  Statistics (Big data) (BAP E)
• Town/city: Montbonnot
• Inria Center: CRI Grenoble – Rhône-Alpes
• Starting date: 2022-10-01
• Duration of contract: 2 years
• Deadline to apply: 2022-05-31

Skills:

Benefits package:

• Restauration subventionnée
• Transports publics remboursés partiellement
• Congés: 7 semaines de congés annuels + 10 jours de RTT (base temps plein) + possibilité d’autorisations d’absence exceptionnelle (ex : enfants malades, déménagement)
• Possibilité de télétravail (après 6 mois d’ancienneté) et aménagement du temps de travail
• Équipements professionnels à disposition (visioconférence, prêts de matériels informatiques, etc.)
• Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d’Inria)
• Accès à la formation professionnelle
• Sécurité sociale

Remuneration:

2653€/month

Title: PhD Position F/M Models and algorithms for statistical learning of spatio-temporal marked point processes. Application: cosmological data analysis and characterization.

• Theme/Domain: Stochastic approaches
  Statistics (Big data) (BAP E)
• Town/city: Villers lès Nancy
• Inria Center: CRI Nancy – Grand Est
• Starting date: 2022-10-03
• Duration of contract: 3 years
• Deadline to apply: 2022-05-31

Main activities:

The sucessful candidate will dedicate to accomplish the research program described before.

For this purpose, the main activities are:

• bibliography study
• build and program new models and algorithms for the problem on-hand
• write scientific papers to communicate the obtained results
• collaborate with the mathematicians and the cosmologists involved in the project
• participate to scientific manifestations to present the obtained results

Technical skills and level required : applied mathematics (probability and statistics), programming (C++, R, Matlab/Scilab)

Languages : English (compulsory), French (optional)

Relational skills : sense of humour, creativity

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

Salary: 1982€ gross/month for 1st and 2^nd year. 2085€ gross/month for 3rd year.

Learn More and Apply:

Title: PhD Position F/M [DOCT2022-DIANA] Leveraging the wealth of available data for network monitoring and troubleshooting

• Theme/Domain: Networks and Telecommunications
  System & Networks (BAP E)
• Town/city: Sophia Antipolis
• Inria Center: CRI Sophia Antipolis – Méditerranée
• Starting date: 2022-11-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-25

Main activities:

This thesis will address the above problems by following a data driven approach seconded by machine learning, where the anomalies will be first categorized and profiled, following controlled experimentation in the lab (OneLab, R2Lab, Mininet, ns-3) to understand their signatures and their most important features. Unsupervised learning can be used in this first phase to characterize the most important anomalies and identify their fingerprints. Using these fingerprints, Supervised Machine Learning models will be then developed to (i) estimate network performance, (ii) detect performance anomalies, and (iii) perform a classification of these anomalies. We will explore the different available options for collecting performance measurements on a user device, either from within the browser or by running a dedicated software, or both options simultaneously. Along this study, the list of possible measurements will be shortened to only keep the most relevant ones for the targeted classification problem. In addition to lab experimentation, the models will be validated over real datasets, either proprietary ones as the ACQUA dataset or the IPL BetterNet dataset, or public datasets as the ones released by MLab and RTR-NetTest. By the end, this PhD work is supposed to lead to concrete solutions of help to the end user transforming her/his local measurements to indicators for her/his access performance and pinpointing the origins of service degradation with the help of the ML models that will be developed for this purpose.

Skills:

Good knowledge in network protocols and network measurement, data analytics, and machine learning.

Good programming skills: python, scripting, java/C++, etc

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Learn More and Apply:

Title: PhD Position F/M [DOCT2022-BIOCORE] Ecophysiological modeling of plant-nematode interactions. Understanding the origins and consequences of differential plant susceptibility

• Theme/Domain: Modeling and Control for Life Sciences
• Town/city: Sophia Antipolis
• Inria Center: CRI Sophia Antipolis – Méditerranée
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-25

Main activities:

Generic activities include: literature reading and synthesis, data processing, reporting, paper and thesis manuscript writing, participation and presentation in conferences and workshops, course-taking and teaching in accordance with doctoral school rules.

Specific activities include:

• dynamical model development and analysis,
• programming and numerical simulations (using NEF computing cluster at Inria or Azzurra cluster at Université Côte d’Azur),
• parameter estimation (based on genetic algorithms, gradient-derived methods, ABC, etc.),
• global sensitivity analyses,
• model selection and model reduction.

The PhD student will have the possibility to participate in experiments and data collection.

Skills:

Background in applied mathematics or in biology with strong mathematical modelling skills

Required skills:

• dynamical systems (ODE)
• marked interest in biological applications
• experience in programming (Python or/and R

Recommended skills:

• experience in parameter estimation or/and optimisation
• proficiency in written and spoken English

Learn More and Apply:

Title: PhD Position F/M [DOCT2022-ACUMES] Multi-physics couplings using isogeometric analysis

• Theme/Domain: Numerical schemes and simulations
  Scientific computing (BAP E)
• Town/city: Sophia Antipolis
• Inria Center: CRI Sophia Antipolis – Méditerranée
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-25

Main activities:

The doctoral student will be part of Acumes Project-Team at Inria Sophia-Antipolis Research Center. At first, he/she will have to formalize the model coupling in the context of the isogeometric method. Fluid- structure interactions are espacially targeted, by using a continuous Galerkin formulation for the structural model and a discontinuous one for the fluid model. The coupling between the two models will be achieved by an exchange of data (efforts, displacements) through the common parameterized interface. He/she will in particular investigate different exchange strategies and time integration approaches.

Skills:

Knowledge in C ++ is required. An experience in numerical simulation, high-performance computing, high- order schemes is a plus.

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Learn More and Apply.

Title: PhD Position F/M [DOCT2022-CAMIN] Estimation and prediction of human motion by numerical trajectory optimization for musculoskeletal models.

• Theme/Domain: Modeling and Control for Life Sciences
  Biologie et santé, Sciences de la vie et de la terre (BAP A)
• Town/city: Montpellier
• Inria Center: CRI Sophia Antipolis – Méditerranée
• Starting date: 2022-10-03
• Duration of contract: 3 years
• Deadline to apply: 2022-05-25

Main activities:

Examples of activities:

• Literature review
• Provide theoretical solutions to muscle modeling
• Contribute to the development of Pinocchio
• Design and conduct experimental protocols on able-bodied and disabled subjects
• Write referrals to ethics committees
• Write reports and articles
• Present the results orally

Skills:

Languages: French, English

Interpersonal skills: ability to work in a group, to listen to others, to present and discuss one’s work and to learn from others.

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Learn More and Apply:

Title: PhD Position F/M Multimodal automatic hate speech detection

• Theme/Domain: Language, Speech and Audio
  IT Technical and production engineering (BAP E)
• Town/city: Villers lès Nancy
• Inria Center: CRI Nancy – Grand Est
• Starting date: 2022-09-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-23

Main activities:

The main activities are those typical of a PhD. They include: literature reading, scientific development, programming and simulation, data processing, reporting and presentation, paper and thesis manuscript writing, collaboration with the team, the supervisors and other scientific partners, participation to conferences and workshops. Course-taking and teaching activities in accordance with doctoral school rules

Skills:

advanced knowledge in Tensorflow or PyTorch

Knowledge in natural language processing or speech processing

good level in english (written)

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Learn More and Apply:

Title: PhD Position F/M Acoustic to Articulatory Inversion by using dynamic MRI images

• Theme/Domain: Language, Speech and Audio
  Scientific computing (BAP E)
• Town/city: Villers lès Nancy
• Inria Center: CRI Nancy – Grand Est
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-18

Skills:

deep learning, computer science, speech processing, applied mathematics

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

Salary: 1982€ gross/month for 1st and 2^nd year. 2085€ gross/month for 3rd year.

Monthly salary after taxes : around 1596,05€ for 1st and 2^nd year. 1678,99€ for 3rd year.

Learn More and Apply:

Title: PhD Position F/M Learning-based Decentralized Control of Groups of Multiple Robots

• Theme/Domain: Robotics and Smart environments
  Information system (BAP E)
• Town/city: Rennes
• Inria Center: CRI Rennes – Bretagne Atlantique
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-16

Main activities:

The project will proceed by developing four main key aspects:

• study how to train the network in a decentralized way,
• study how to include sensory data (images from onboard camera) in the learning,
• study how to include the presence of humans either in the team or commanding the team.
• experimentally evaluate the proposed approaches on the quadrotor UAVs available in the team.

Skills:

We are looking for excellent, highly-motivated students interested in multi-robot systems and machine learning,  with a computer science background and previous experience in computer  programming (C#,  C++). Experience in using robotics tools (e.g.,  ROS)  and AI tools (e.g., PyTorch, TensorFlow) is considered a plus.

The student should be able to speak and write in English.

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

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Title: PhD Position F/M Markerless 3D localization of surgical tool in a per-operative context

• Theme/Domain: Robotics and Smart environments
  System & Networks (BAP E)
• Town/city: Rennes
• Inria Center: CRI Rennes – Bretagne Atlantique
• Starting date: 2022-10-01
• Duration of contract: 3 years
• Deadline to apply: 2022-05-15

Skills:

• Knowledge in computer vision and image processing, vSLAM, machine learning
• Mathematics, optimization, linear algebra
• Excellent programming skills in C ++

Benefits package:

• Subsidized meals
• Partial reimbursement of public transport costs
• Possibility of teleworking ( 90 days per year) and flexible organization of working hours
• partial payment of insurance costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours)
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Remuneration:

Monthly gross salary amounting to :

• 1982 euros for the first and second years and
• 2085 euros for the third year

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Title: PhD Position F/M Creative Applications for Algebraic Machine Learning Approaches

Contract type : Fixed-term contract

Level of qualifications required: PhD or equivalent

Fonction: Post-Doctoral Research Visit

Deadline to apply: 15.08.2022

Theme/Domain: Interaction and visualization Information system (BAP E)

Town/city: Palaiseau

Starting date: 01.10.2022

Duration of contract : 3 years

Main activities:

Specific Activities

The doctoral candidate will be expected to:

• Design novel interactive systems using AML in conjunction with creative professionals
• Run laboratory experiment to determine the effectiveness of interaction techniques
• Implement alternative approaches for comparing different ML approaches
• Design, run and analyze the results of controlled and/or field experiments

Expected Results

• Develop a working prototype that demonstrates how human users can successfully interact with and control AML
• Advance the framing and developing of AML for creative applications
• Write scientific papers

Skills:

Required Skills:

We are looking for motivated students who are enthusiastic about creativity-support tools and are interested in combining research of Human-Computer Interaction and Machine Learning.

Solid programming skills are required. Experience in Python and web technologies is a plus.

A background or interest in design and/or creative practices is especially appreciated.

The doctoral position will be in English.

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Title: PhD Position F/M Non-smooth modeling of the interaction between granular flow and 3d obstacles.

Theme/Domain: Optimization and control of dynamic systems

Town/city: Montbonnot

Inria Center: CRI Grenoble – Rhône-Alpes

Starting date: 2022-09-01

Duration of contract: 3 years

Deadline to apply: 31.12.2022

Contract type: Fixed-term contrac

Level of qualifications required: Graduate degree or equivalent

Fonction: PhD Position

Remuneration:

1st and 2nd year: 1 982 euros gross salary /month

3rd year: 2 085 euros gross salary / month

Summary:

TRIPOP (Inria Grenoble Rhône-Alpes ; Laboratoire Jean Kuntzmann) team is mainly concerned by the modeling, the simulation and the control of nonsmooth dynamical systems. In mechanics, the main instances of nonsmooth dynamical systems are multibody systems with Signorini’s unilateral contact, set-valued (Coulomb-like) friction and impacts, or in continuum mechanics, ideal plasticity, fracture or damage. The members of the team have a long experience of nonsmooth dynamics modeling together with the development of simulation software.

INRAE’s ETNA Research Unit is recognized for many years at the international level for its work on snow and on protection structures against natural hazards. Its skills relate to physical and digital modeling, laboratory and on-site experimentation, and instrumentation in difficult alpine contexts.

Main activities:

The objective of the PhD is to use non smooth numerical modelling to analyse the physical processes involved in the interaction between complex granular flows interacting with 3D deformable structures.
The main tasks of this research work are to :

•  develop 3D numerical simulations involving complex granular materials (cohesive, in particular) interacting with deformable structures
• optimize the numerical model to allow extensive numerical simulations for complex 3D problems on high performance computing architecture
• perform detailed physical analyses of the interaction not only for simplified configurations but also for complex 3D ones, with a focus on the interplay between the hydrodynamic-like patterns formed (jumps, dead zones, etc.) and the discrete nature of the flowing material and its effect on the resulting impact force

Skills:

The PhD candidate should have competences in mechanics and numerical modelling. A strong theoretical background in fluid and solid mechanics is mandatory. Furthermore, the applicant must show a strong interest for software development in computational Mechanics. He also has to be motivated by applied research in collaboration with researchers from different disciplines. A good level of English and subsequent writing capacities are also requested.

More Details of Applying: