General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
2024-31315
Division description
The Fundamental Research Division (DRF) of CEA contributes to the advancement of knowledge and technological development, at the highest world level, by conducting research in the fields of physics, chemistry and life sciences. It helps to develop solutions that meet the challenges facing our society, in the service of all the CEA's missions. The DRF employs more than 6,000 people in 10 institutes. Collaboration with other research organisations and universities, in particular through joint research units, is central to the DRF.
Description de l'unité
NeuroSpin is one of the largest research centers for innovation in brain imaging. At NeuroSpin, physicists, mathematicians, neuroscientists, and physicians join forces to synergistically develop tools and models to better comprehend the functioning of the normal and pathological brain before and/or after treatment. NeuroSpin is part of the Life Sciences Frédéric-Joliot Institute within the Fundamental Research Division of the CEA research agency. It is a member of the Paris-Saclay University ranked 13 at the Shanghai Academic Ranking of World Universities.
NeuroSpin is leading the AI analysis of France's two most significant psychiatry projects in adults (PEPR PROPSY) and children (IHU InovAND). Artificial Intelligence (AI) models for those projects will be proposed by NeuroSpin's "signature team," which aims to design AI models for identifying neuroimaging biomarkers predicting patients' clinical evolution of mental disorders. The proposed tenured position will be assigned to the "signature team" to supervise the AI analysis strategy.
Position description
Category
Health
Contract
Permanent contract
Job title
Research scientist in deep learning and neuroimaging for precision psychiatry
Socio-professional category
Executive
Job description
The scientific theme will focus on neuroimaging-based AI models in deep learning along two axes of research:
Designing models to transfer knowledge from extensive (N~10k) "international" neuroimaging datasets from the general population to datasets obtained from smaller groups of patients with psychiatric conditions.
Designing models for the joint analysis of various neuroimaging modalities (including anatomical, diffusion-weighted, and functional MRI) alongside electroencephalography (EEG), along with clinical information (such as clinical scales, language assessments, and medical records) and "ecological" data acquired from connected devices.
Missions: The research position offers an exciting opportunity to explore innovative AI applications within neuroimaging and psychiatry. Responsibilities include:
Proposing state-of-the-art AI models and groundbreaking analysis strategies for applications to clinical neurosciences using brain-based phenotypes. The outcomes of these research endeavors will be showcased in prestigious conferences and journals in neuroimaging and psychiatry.
Spearheading AI methodological research upstream to its clinical application. When existing models are unsuitable for a given problem, the candidate will design new, custom-tailored models. Successful models are expected to be presented in top-tier conferences and journals within the machine learning domain.
Fostering strong partnerships with AI laboratories and researchers, particularly with the INRIA/CEA MIND laboratory and the LTCI at Télécom (Institut Polytechnique de Paris).
Mentoring and supervising students (masters, Ph.D. students, post-docs) in crafting and applying models in psychiatry.
Contributing deep learning expertise to NeuroSpin’s teams.
This multifaceted role promises an engaging and impactful journey at the intersection of AI, psychiatry, and neurosciences.
Applicant Profile
● PhD in image, signal processing, or statistical learning.
● The candidate will have demonstrated scientific excellence in statistical and deep learning in medical imaging through publications in leading conferences in machine learning, neuroimaging, and psychiatry.
● The candidate should be able to define the broad lines of a research vision in neuroimaging and psychiatry and contribute to the team's development by regularly responding to calls for projects in the field.
● The candidate should be proficient in Python machine/deep learning libraries and be familiar with high-performance computing (HPC) infrastructures.
● Experience supervising interns, engineers, PhD students, and/or post-docs would be a plus.
● Interest in neuroscience is a prerequisite.
● Understanding psychiatry, neuroimaging, and/or neuroscience issues and their intersecting roles is a plus.
● The candidate should have strong experience and a justified interest in teamwork.
● Although extensive experience will be an asset, junior candidates are welcome in the measure that they fulfill the first 4 above listed points.
● Finally, the candidate must be fluent in English to interact in a multidisciplinary and international environment.
Position location
Site
Saclay
Job location
France, Ile-de-France, Essonne (91)
Location
Saclay
Requester
Position start date
01/06/2024
Create candidate area
