Mots-Clés

Deep learning, AI for health, explanability

Description

We are seeking a highly motivated Postdoctoral Researcher to investigate interpretable and explainable AI techniques in healthcare and biomedical research. As AI-driven models play an increasingly significant role in clinical decision-making, the challenge of interpreting complex, non-linear neural networks remains open. Addressing this challenge is essential for uncovering actionable insights, enhancing trust, and advancing the clinical applicability of such models. This position will focus on developing novel methods to improve the interpretability of machine learning models in healthcare. #fostering greater transparency, adoption, and impact.

Research group

The postdoctoral will be supervised by Dr. Eloise Berson (Assistant Professor) (eloise.berson@minesparis.psl.eu). The project will take place in the Centre for Computational Biology (CBIO — http://cbio.ensmp.fr), a joint laboratory between Mines-PSL, one of the most prominent French engineering schools, and Institut Curie, a major hospital and research facility dedicated to cancer. CBIO benefits from an exceptional scientific environment with immediate access to experts and collaborators in biology and medicine, enabling a stimulating interdisciplinary exchange. The laboratory is located in the center of Paris, both in Mines PSL and in the nearby Institut Curie.

Prerequisites

• A PhD in Computer Science, Statical learning, Applied Mathematics, Engineering, or a related field;
• Strong knowledge of deep learning and statistics;
• Proficiency in at least one programming language;
• A collaborative mindset and strong motivation to work in an interdisciplinary team, contributing to a positive and innovative research environment.
• A highly motivated individual with a passion for advancing AI in healthcare and biomedical research, coupled with a collaborative spirit to thrive in an interdisciplinary team.
• Prior experience in biology, epidemiology or the medical field is not required but strongly encouraged.

Required Application Materials: 

Please send your CV, a cover letter (describing relevant experiences, interests, and goals), a research statement, and two contact references by email at eloise.berson@minesparis.psl.eu.

We strongly encourage individuals from historically underrepresented groups to apply. We believe that equity and inclusion are fundamental not only for the science that we do but also for fostering a workplace where everyone feels valued and supported. Our commitment is to create an environment where equal opportunities thrive, and where your unique experiences and background will be highly appreciated. We welcome your application and look forward to the contributions you can bring to science.