Post-doctoral Fellow in Statistical Learning and Generative AI

About the role

The Image, Data and Signal (IDS) Department at Télécom Paris seeks a postdoctoral researcher to work on uncertainty quantification for generative models on Euclidean and non‑Euclidean data.

Key responsibilities

• Conduct research in statistical learning and generative AI, focusing on model calibration and uncertainty quantification.
• Supervise and tutor students or junior researchers.
• Contribute to the reputation of Télécom Paris, Institut Mines‑Télécom and the Institut Polytechnique de Paris through publications and collaborations.

Required profile

• PhD or equivalent in statistical learning or a closely related field.
• Strong analytical, interpersonal and pedagogical skills.
• Proficiency in English.

Required skills

• Statistical learning
• Generative models
• Uncertainty quantification methods
• Knowledge of reproducing kernel Hilbert spaces (asset)
• Knowledge of optimal transport (asset)

What we offer

• Hybrid work mode (onsite and remote up to 3 days/week).
• 12‑month fixed‑term contract with €36,000 gross annual salary.
• 49 days annual leave, flexible hours, public transport pass reimbursement.
• Accessible, green campus near Paris with sports facilities, catering and parking.