Open PostDoc position on Causal data analysis of in-silico trials in the Inria team EPIONE

Application deadline 18 September 2022

Open Post Doctoral position in the Inria team EPIONE (E-Patient for E-medicine, at Centre Inria d'Université Côte d'Azur, France) within the context of the European project SimCardioTest, to develop causal data analysis methods of the in silico generated data, and support the adoption of Computer Modeling & Simulation as reliable tools to generate scientific evidences relevant for the clinical evaluation of the targeted cardiac drugs and devices.

During the project, the candidate will be in charge of:

  • Master, implement and test causal machine learning methods for causal discovery on the in-silico generated data
  • Propose and develop improvement of state-of-the-art methods to tackle challenges such as multimodality and heterogeneity of the available datasets, and the longitudinal component
  • Focus on interpretability and transferability of methods/results to inform clinical trials design and assessment
  • Present the works' progress to SimCardioTest partners and to the broader scienific community
  • Write and publish scientific works (international conferences and journals)

The candidate should hold a PhD in computer science, statistics or applied mathematics. We are looking for a highly motivated candidate with a proven experience in statistics, Bayesian learning and biomedical data analysis. Programming skills (Python) are mandatory. Previous work experience in the medical field context is highly recommended, and a previous work on cardiac modeling and/or pharmacokinetics modeling is appreciated. Strong communication abilities are required.

To know more and apply, visit

Date: 25/07/2022 | Tag: | News: 1343 of 1589
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