Institut Mines-Télécom
6 days ago
Research and Development Engineer in Computer Science and Artificial Intelligence
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Company information
- Company
- Institut Mines-Télécom
- Location
- Brest, Bretagne, France France
- Posted
- 6 days ago
Job description
A major generalist engineering school of IMT-Institut Mines-Télécom, the leading group of engineering schools in France, IMT Atlantique aims to support transitions, train responsible engineers, and leverage scientific and technical excellence for teaching, research, and innovation.
As part of the CARBURE project (DGA Rapid project conducted in partnership with the company eXO maKina), which aims to explain decision-making in the fight against image falsification using deep networks, we are recruiting a research and development engineer within our Data Science Department.
In collaboration with the project team and partner research teams, your main mission will be to develop a tool to support the analysis and explainability of image falsification. You will design an architecture based on specialized multimodal RAGs (related to the interpretation of the Tungstène software filters) and ensure their dynamic synthesis. You will also implement a standalone demonstrator (PoC) operating offline and will valorize this work by drafting technical deliverables and scientific publications.
Consult the detailed job description
✔️ You have skills in machine learning, deep learning (PyTorch, Python), and RAG modeling.
✔️ You have experience in software development on Linux or Windows and in scientific experimentation management.
✔️ You demonstrate autonomy, initiative, and enjoy teamwork.
✔️ You have excellent oral and written communication skills in both French and English (essential for publications).
✔️ Knowledge of AI explainability topics is a valued asset.
🎓The profile sought must hold a degree of Bac +5 level or equivalent (Master 2 or Engineering degree) in Computer Science, Data Science, or Artificial Intelligence.
WHY JOIN US:
🌟 A leading scientific work environment, within a department at the forefront of research in data security and AI.
🚀 A stimulating applied project with high technological stakes (DGA Rapid) combining fundamental research, generative AI (RAGs/LLMs), and dynamic industrial partnership.
💡 Strong opportunities for scientific valorization (writing international publications, participating in conferences) and autonomy in carrying out your work.
THE PLUS:
🥗 On-site collective catering
🏃♀️ Leisure/sports offerings
🚌 Public transport reimbursement
🚴♂️ Sustainable mobility package (for carpooling or cycling commutes)
👨👩👧👦 Family allowance
💶 Wide range of social benefits
🖥️ Partial remote work possible
🌴 Numerous holidays
REMUNERATION INDICATIONS:
💰 Indicative remuneration: from €33,748 gross per year, depending on profile and experience (reduced social charges in the public sector).
FOR ANY INFORMATION:
On the content of the position:
· Gouenou COATRIEUX – Professor: · Grégoire Mercier – R&D Director eXO maKina: On administrative/HR aspects: Mélissandre MORVAN – Recruitment Assistant
Application deadline: 12/02/2026
Contract start date: 02/01/2027
Interviews: on a rolling basis
Legal Mentions:
Nature and duration of the contract: 8-month fixed-term contract under public law or detachment on contract for civil servants.
Job location: IMT Atlantique Brest campus - 655 Av. du Technopôle, 29280 Plouzané
For internal use:
Category – job title: II R
Category and job title of applicants:
II: D, E, F, G, H, I, R
III: J1, J2, K, L, M
Positions offered for recruitment are open to all, with, upon request, accommodations for candidates with disabilities.
Job open to public service employees and/or contract employees.
All applications may be subject to an administrative investigation.
Required skills
- software development
- generative ai
- python
- pytorch
- windows
- artificial intelligence
- machine learning
- linux
- data science
- computer science
- deep learning
- public sector
- fixed-term contract
- llms
- research and development
- scientific publications
- ai explainability
- rag modeling
- scientific experimentation
- dga rapid
- image falsification
- multimodal rags
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