Postdoctoral position in evaluation and bias reduction in 3D facial reconstruction_36-month fixed-term contract

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 put scientific and technical excellence at the service of teaching, research, and innovation.

As part of the ANR-DFG 3DFaceBias project, which aims to measure, explain, and reduce precision disparities in 3D facial reconstruction from 2D photographs, we are recruiting a Postdoctoral researcher in evaluation and bias reduction in 3D facial reconstruction within our Data Science department on the Brest campus.

You will lead IMT Atlantique's work on the evaluation and reduction of biases in 3D facial reconstruction with the following main missions:

• Audit biases in 3D facial reconstruction from 2D images.

• Identify sources of bias through data-centric analysis.

• Design and evaluate data-centric strategies to mitigate biases.

• Contribute to the cross-cutting activities of the project.

Consult the detailed job description

✔️ You have solid experience in experimental research and advanced statistical methods. Your expertise includes the design of controlled experiments, uncertainty evaluation, management of confounding factors, as well as prevention of data leakage.

✔️ Proficient in Python and a framework like PyTorch, you know how to modify, test, and debug research code effectively. Your skills cover key areas such as:

• Computer vision, 3D reconstruction, and 3D geometry,

• Statistical shape models or medical imaging,

• Algorithmic fairness, robustness, generalization, and synthetic data generation.

✔️ You excel in performance and bias evaluation, through subgroup analyses, interpretation of disparities, and rigorous examination of limitations. Experience in 3D facial reconstruction would be an asset.

✔️ Autonomous and proactive, you formulate relevant hypotheses and prioritize experiments methodically.

✔️ Rigorous, you ensure the reproducibility of your work, clear documentation, and collaborative management of code and data.

✔️ Open to teamwork

🇬🇧 Comfortable in scientific English, you write clearly and precisely, both in writing and orally.

🎓 The candidate sought must hold a Doctorate (obtained less than 3 years before the date of hire) in machine learning, computer science, statistics, applied mathematics, computer science applied to medical imaging, or a related field, obtained before taking up the post.

WHY JOIN US:

🚀 Lead research work within an international project dedicated to the reliability and fairness of 3D reconstruction methods.

🤝 Work at the interface of machine learning, statistics, and computer science applied to medical imaging.

🌍Develop your experimental research and publications within a Franco-German collaboration with complementary expertise.

🍃 Advance responsible and reproducible research through transparent evaluation, rigorous facial data management, and reusable methods and code, shared whenever permissions allow.

PERKS:

🥗 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 leave days

REMUNERATION GUIDELINES:

💰 Indicative remuneration: €35,800 gross annual salary, depending on profile and experience (reduced social charges in the public sector).

FOR ANY INFORMATION:

o    On the content of the position: Sarah MATTA - Research Professor - o    On administrative/HR aspects: Mélissandre MORVAN – Recruitment Assistant:  

Application deadline: 11/20/2026

Contract start date: 03/01/2027

Interviews: on a rolling basis

Legal Mentions:

• Nature and duration of the contract: 36-month fixed-term contract under public law or detachment on contract for civil servants, renewable

• Job location: IMT Atlantique Brest campus - 655 avenue du technopôle - 29280 Plouzané

• For internal use:

  • Category – job type: II P

• Positions offered for recruitment are open to all, with, upon request, accommodations for candidates with disabilities

• Job open to civil service incumbents and/or contractual employees

• All applications may be subject to an administrative investigation