PhD Position F/M EDF Lab Paris Saclay PhD Cifre Deep PDE Surrogates and Inverse Problems for Industrial Applications
Inria
Inria and EDF are recruiting a CIFRE PhD researcher to develop deep surrogate models and simulation-based inverse methods for industrial partial-differential-equation applications.
The application window for this cycle has ended. The programme page tracks the next cycle.
This application cycle is archived.
Vacancy terms
- Career stage
- Doctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- EDF CIFRE PhD contract for three years
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- Numeric salary not stated by the official vacancy.
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop neural PDE surrogate models and simulation-based inference methods.
- Implement and validate methods on EDF industrial applications and publish results.
Qualifications and requirements
Qualifications
- Engineering-school qualification or master’s degree.
- Background in artificial intelligence, statistics and/or numerical simulation.
- Good Python programming skills and PyTorch or JAX experience.
Requirements
- Ability to work on scientific machine learning, surrogate models and inverse problems.
Documents and steps
Documents
- Academic mark record
- Curriculum vitae
- Other relevant profile evidence such as code repositories if available
- Available reports such as master thesis if available
Steps
Review the CIFRE PhD project and expected profile.
Prepare curriculum vitae, academic mark record, available reports such as a master thesis, and other relevant evidence such as code repositories.
Submit exclusively through the official Inria vacancy by 7 September 2026.
Why this vacancy is published
This vacancy was checked against the university's official careers system.
No public evidence excerpt is available yet. Use the linked official source to confirm every material claim.
Published revision history
Historical revisions are loaded only when you ask for them, which keeps normal page views lightweight.
PhD Position F/M EDF Lab Paris Saclay PhD Cifre Deep PDE Surrogates and Inverse Problems for Industrial Applications
Use the enduring programme page to check for a verified newer cycle. A closed vacancy never implies that another round is open.
Programme overview and cycle history