Post-doctoral fellow in Representation Learning for Medical Imaging - 12 months contract

Who we are ?

Télécom Paris, part of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of France's top 5 general engineering schools.

The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.

The postdoctoral research position on offer is based within the Image, Data and Signal (IDS) department,  more  specifically  within  the Image, Modeling, Analysis, GEometry, Synthesis (IMAGES) team.  The IDS department develops new AI methods and algorithms to analyse and exploit this data, thereby contributing to many aspects of data science. These aspects range from challenging societal expectations (equity, bias management, robustness/reliability, privacy protection, energy efficiency) to key applications such as health  or  environmental  monitoring,  as  well  as  addressing  technological  and computational (e.g. sensor networks, the Internet of Things, distributed file systems

or infrastructures for massively parallel/distributed computing, online processing).

Research carried out within the IDS department draws on a range of fields such as probabilistic modelling, statistical learning, simulation, optimisation, machine learning, natural language processing (NLP), visual and audio computing (including computer vision), computer graphics, medical imaging, remote sensing, multimodal data, etc.

The IDS department’s activities are widely recognized both nationally and internationally and are supported by a range of funding sources (ERC and European projects, ANR funding, joint chairs and laboratories, etc.). The department actively contributes to innovation and industrial research. The IDS is also a major contributor to the Institut Polytechnique de Paris and the Hi!Paris centre.

Your main responsabilities :

• To carry out research missions in the field of representation learning for medical images.

• To ensure supervision and tutoring missions.

• To contribute to the reputation of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris.

You have in-depth theoretical and practical knowledge of deep learning, machine learning and computer vision. You are proficient in the main representation-based learning paradigms, including self-supervised learning, contrastive learning, unsupervised pre-training and foundation models.

You have experience in processing medical imaging data and are proficient in Python as well as frameworks dedicated to machine learning and medical imaging, such as Scikit-learn and PyTorch. You hold a PhD in computer science, applied mathematics, biomedical engineering or a related field, and you are fluent in English.

You are able to work as part of a team, engage in constructive dialogue and produce clear, well-structured documents. You also possess strong interpersonal and teaching skills, as well as the ability to synthesise information effectively.

Why join us?
You'll be working in a fast-growing, pleasant, green and accessible environment (especially for people with disabilities) just 20 km from Paris (RER B and C suburban train lines, close to major roads, shared shuttle departing from Porte d'Orléans). You will benefit from :

• 49 days annual leave (CA + RTT)

• flexible working hours (depending on department activity)

• telecommuting 1 to 3 days/week possible

• 75% public transport pass reimbursement

• Proximity to numerous sports facilities, concierge service, underground parking, in-house catering, etc.

• Good to know: our social security contributions are lower than in the private sector

Other information :
Application deadline: July 25, 2026
Job type : 12 months fixed-term contract
Job description here

Our recruitment is based on skills, without distinction of origin, age, gender identity, or sexual orientation, and all our positions are open to individuals with disabilities.