Post-Doctoral Researcher in bias evaluation and mitigation for 3D facial reconstruction

aims to support transitions and train responsible engineers. We place scientific and technical excellence at the service of education, research, and innovation. As part of the ANR-DFG 3DFaceBias project , which aims to measure, explain and reduce accuracy disparities when reconstructing a 3D face from 2D photographs, we are hiring a Post-Doctoral Researcher in bias evaluation and mitigation for 3D facial reconstruction within Data Science department of IMT Atlantique and in close collaboration with Bernhard Egger, the German principal investigator, and his team at FAU. For the French–German 3DFaceBias project, and under the scientific supervision of Sarah Matta, the French principal investigator, and Tinashe Mutsvangwa, you will lead the IMT Atlantique research on bias evaluation and mitigation for 3D facial reconstruction. Audit bias in 3D face reconstruction from 2D images. Identify the sources of bias through data-centric analysis. Design and evaluate data-centric strategies to mitigate bias. Contribute to cross-cutting project activities. Consult the detailed job description Requirements Research Field: Computer science » 3 D modelling Education Level: PhD or equivalent Skills/Qualifications ✔️ Strong experience in empirical machine-learning research and advanced statistical methods. ✔️ Rigorous experimental design: controlled comparisons, uncertainty, confounding, distribution shifts and prevention of data leakage. ✔️ Proficiency in Python and a machine-learning framework such as PyTorch; ability to modify, test and debug research code. ✔️ Computer vision, 3D reconstruction, 3D geometry, statistical shape models or medical image computing. ✔️ Algorithmic fairness, robustness, generalisation, dataset preparation or synthetic image generation. ✔️ Performance and bias evaluation: subgroup analyses, interpretation of disparities and careful assessment of limitations. Previous expertise in 3D facial reconstruction is an asset. Applicants with strong empirical machine-learning and statistical backgrounds are encouraged to apply; specialist geometry and reconstruction skills can be developed during the project. ✔️ Independence, scientific initiative and the ability to formulate hypotheses and prioritise experiments. ✔️ Rigour, reproducibility, documentation and collaborative management of code and data. ✔️ Effective international teamwork and clear communication of findings, limitations and progress. Specific Requirements 🇬🇧 Good written and spoken scientific English, including strong academic writing skills. 🎓 Candidates must hold a Ph.D. obtained less than 3 years prior to the hiring date Languages: ENGLISH — Level: Good Additional Information Benefits Take scientific ownership within an international project on the reliability and fairness of 3D reconstruction methods. 🤝 Work at the intersection of machine learning, statistics and medical image computing. 🌍 Develop your experimental research and publications within a French–German collaboration with complementary expertise. 🍃 Advance responsible and reproducible research through transparent evaluation, careful handling of facial data, and reusable methods and code shared wherever permissions allow. BENEFITS: 🥗 On-site cafeteria 🏃‍♀️ Leisure and sports offers 🚌 Public transport subsidies 🚴‍♂️ Sustainable mobility package (for carpooling or cycling) 👨‍👩‍👧‍👦 Family allowance 💶 Wide range of social benefits 🖥️ Partial teleworking possible 🌴 Generous leave package Eligibility criteria Candidates must hold a Ph.D. obtained less than 3 years prior to the hiring date Selection process Application Deadline: November 20, 2026 Contract Start Date: March 1st, 2027 Interviews: Rolling basis Additional comments CONTACT INFORMATION: job content: Sarah MATTA - Associate professor - sarah.matta@imt-atlantique.fr administrative/HR aspects: Mélissandre MORVAN – Recruitment Assistant: melissandre.morvan@imt-atlantique.fr Work Location(s) Number of offers available: 1 Company/Institute: IMT Atlantique Country: France State/Province: Brest