PhD Position F/M Mechanistic and Deep-Learning Models for Liver-Heart Interaction in TIPS procedures
Inria
Inria is recruiting a PhD researcher to develop mechanistic and deep-learning models for liver-heart interactions in TIPS procedures within the European ARTEMIS project.
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source review was due 24/08/2026. Confirm details on the official page.
Vacancy terms
- Career stage
- Doctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Fixed-term PhD contract for three years
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- EUR 2,300 gross per month.
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop mechanistic and deep-learning models for liver-heart interaction.
- Implement simulations, analyse patient data and validate models against clinical data.
Qualifications and requirements
Qualifications
- Graduate or master-level qualification in a relevant quantitative or engineering field.
- Deep-learning and computational fluid mechanics or PDE experience.
- Python and PyTorch or TensorFlow programming experience.
- Good English communication skills.
Requirements
- Strong analytical skills.
- Motivation to use mathematical modelling for clinical challenges.
Documents and steps
Documents
Use the official careers site for the document list.
Steps
Review the ARTEMIS PhD research objectives.
Prepare the application materials requested by Inria.
Submit online through the official Inria vacancy by 30 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 Mechanistic and Deep-Learning Models for Liver-Heart Interaction in TIPS procedures
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