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 application window for this cycle has ended. The programme page tracks the next cycle.
Source visited 21 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link, compensation.
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
A required-document list has not been captured. Confirm the current checklist on the official application page.
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.
Sources behind this vacancy
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PhD Position F/M Mechanistic and Deep-Learning Models for Liver-Heart Interaction in TIPS procedures
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Programme overview and cycle history