Research Fellow in Statistics and Modeling (M/F)
New
- Researcher in FTC
- 9 months
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Laboratoire Jean Kuntzmann
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
38058 ST MARTIN D HERES
Contract Duration
9 months
Date of Hire
01/11/2026
Remuneration
à partir de 3041e brut mensuel selon l'expérience et la grille de rémunération en vigueur du CNRS
Apply Application Deadline : 11 August 2026 23:59
Job Description
Missions
The successful candidate will be expected to generate novel scientific knowledge and develop innovative algorithmic approaches that advance the current state of the art in physiological data–driven energy balance modeling. They will play a key role in the design, development, experimental evaluation, validation, and continuous refinement of the proposed models. Through sustained scientific and methodological contributions, the researcher will help establish robust, interpretable, and scalable modeling frameworks capable of addressing complex physiological processes and supporting the project's long-term research objectives.
Activity
● Research design and development: Design and develop advanced statistical models, algorithmic methods, and software architectures that extend beyond commercially available or off-the-shelf solutions.
● Experimental research: Conduct iterative research and development cycles—including implementation, experimentation, and validation—to design prototypes and proof-of-concept demonstrators for testing and refining scientific hypotheses.
● Addressing scientific challenges: Identify and overcome key scientific and technical barriers affecting the feasibility, performance, robustness, interpretability, and generalizability of the proposed models.
● Scientific literature review: Perform comprehensive and systematic reviews of the scientific literature to inform research activities and maintain expertise at the forefront of the field.
● Research documentation and knowledge dissemination: Produce high-quality technical documentation, justify methodological choices, and actively contribute to the maintenance of electronic laboratory notebooks and research records, including version control commits, development logs, and reproducible documentation.
Your Profil
Skills
● PhD in Statistics, Artificial Intelligence, Mathematics, Computational Modeling, or a closely related discipline, with demonstrated experience in the analysis and modeling of complex data within high-impact application domains such as healthcare, biomedical sciences, or industry.
● Strong knowledge of, or a demonstrated interest in, physiology, health sciences, and data derived from physical activity and sports performance.
● Demonstrated commitment to rigorous research practices, including comprehensive documentation, traceability, and high-quality scientific writing.
● High degree of technical autonomy, strong organizational skills, and the ability to manage research activities independently.
● Excellent critical thinking and analytical skills, with the ability to objectively interpret experimental outcomes, whether positive or negative.
● Proficiency in one or more scientific programming languages, including R, Python, and/or Julia.
● Sound knowledge of research project management methodologies and collaborative scientific workflows.
● English language proficiency at **CEFR B2** level or higher.
Your Work Environment
You will join the DATA department of the Jean Kuntzmann Laboratory and collaborate closely with MIRA and the TEAM-C laboratory. MIRA develops cutting-edge technological and software solutions, supported by ongoing research and innovation activities at the intersection of physiology, biology, nutrition, and sport science.
Compensation and benefits
Compensation
à partir de 3041e brut mensuel selon l'expérience et la grille de rémunération en vigueur du CNRS
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR5224-FRACOR-001 |
|---|---|
| CN Section(s) / Research Area | Mathematics and mathematical interactions |
| Relevant experience | 1 to 4 years |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
Create your alert
Don't miss any opportunity to find the job that's right for you. Register for free and receive new vacancies directly in your mailbox.