Post-doctorat en évaluation et réduction des biais en reconstruction faciale 3D_CDD 36 mois

• Solid experience in experimental research and advanced statistical methods, including controlled experiment design, uncertainty evaluation, confounder management and prevention of data leakage.
• Proficiency in Python and a framework such as PyTorch, able to modify, test and debug research code.
• Skills in computer vision, 3D reconstruction and 3D geometry.
• Knowledge of statistical shape models or medical informatics.
• Knowledge of algorithmic fairness, robustness, generalisation and synthetic data generation.
• Excellence in evaluating performance and bias via subgroup analyses, interpretation of disparities and rigorous examination of limitations.
• Autonomous and proactive, able to formulate relevant hypotheses and prioritise experiments methodically.
• Rigorous, ensuring reproducibility, clear documentation and collaborative management of code and data.
• Open to teamwork.
• Comfortable in scientific English, writing clearly and precisely both in writing and orally.
• Hold a doctorate obtained less than 3 years before the hiring date in machine learning, computer science, statistics, applied mathematics, medical imaging informatics or a related field.

Data Science department

Data Science department on the Brest campus

• On-site collective catering.
• Leisure and sports offers.
• Public transport covered.
• Sustainable mobility allowance for carpooling or cycling.
• Family supplement.
• Wide range of social benefits.
• Partial remote work possible.
• Generous leave.