Job offers

Are you a researcher in stats/ML working on causal inference, missing values, federated learning, uncertainty quantification, privacy, fairness, multi-modal data or others and/or medical applications?

You could apply to an Inria tenured researcher position (permanent academic position without teaching duties or with light teaching duties) and join our group PreMeDICaL based in Montpellier! Please contact Julie Josse and Aurélien Bellet to know more.

We also have opening for Postdocs, starting junior positions, tenured track Professor.

Regarding the Inria researcher positions:
– There are two types of tenured researcher positions: CRCN (public
servant) and ISFP (permanent contract). The same application can serve
for both types of position. More information here:
The deadline for submitting this written application is February 6, 2024.
Then, if you are selected, there will be interviews sometime in May.

UNTIL SEPTEMBER 15 / Software development engineer for causal machine learning

We are excited to announce an open position for a Software Development Engineer at Premedical! Premedical specializes in precision medicine through causal learning and federated learning techniques.
As a Software Development Engineer, you will initially join the Traumatrix project , collaborating with clinicians. This project focuses on implementing machine learning models to enhance decision-making processes for SAMU regulation and improve patient orientation.

We are seeking a talented engineer with expertise in full-stack development, AI frameworks, and web frameworks.
Join us in making a significant impact in the field of precision medicine!

Download the complete offer

PhD/Postdoc offer

Interested candidates, please contact us, we often have open positions

Old Offers: Federated Causal Inference, Robust prediction with missing values, Causal Inference for combing experimental and observational data

We are looking for excellent candidates, highly motivated,  with background knowledge either in mathematics, statistics/machine learning or in the medical domain and interested by interdisciplinary research and collaboration.  We focus on both the theoretical and practical aspects including implementation.

Qualifications:
  • Recent (doctoral) degree in Statistics, Biostatistics, ML or Medical
  • Background on causal inference and survival analysis is a plus
  • Experience with machine learning and high-dimensional statistics
  •  Strong statistical computing skill
  • Excellent writing and communication skills
Required application materials:
  • Get in touch by email including a CV and a short presentation of your interest for the group
  • Then, we will ask for  contact information for two referees and will plan an interview

Scholarships for international visitors

Many options are available, please consider joining us in sunny Montpellier as a visiting student, researcher, etc. Contact Julie Josse (other calls/grants can be available).

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