Télécom SudParis, part of Institut Mines-Télécom and co-founder of Institut Polytechnique de Paris, is seeking a Postdoctoral Researcher for an 18-month fixed-term contract in Palaiseau, France. The role focuses on the UnStrain project, which aims to reveal mobility tensions through representational learning. The successful candidate will develop generative and learning models to integrate mobility flows, transport networks, land use, and socio-demographic data to identify and evaluate interventions for reducing mobility tensions. Applicants should hold a doctorate or be nearing completion of their thesis, possess excellent skills in mathematical modeling and analysis, and good programming skills. Experience in deep learning, representation learning, and spatial data science is desired. The position offers 44 days of vacation, teleworking possibilities, and public transport accessibility.
| Department | Télécom SudParis |
| Position Type | Postdoctoral Researcher |
| Discipline | Digital Science and Technology |
| Research Area | Mobility Tensions, Representational Learning, Generative Models, Spatial Data Science, Transport Networks, Land Use, Socio-demographic Data |
| Degree Required | Doctorate |
| Experience | Experience in deep learning and representation learning; experience in spatial data science. |
| Contract Duration | 18-month fixed-term contract |
| Employer Address | Palaiseau, Île-de-France, France |
| Employer Contact | Vincent Gauthier and Andrea Araldo – [email protected]; [email protected] |
The UnStrain project aims to reveal mobility tensions by developing generative and learning models of representations. These models will integrate mobility flows, transport networks, land use, and socio-demographic data into a common latent space. The goal is to identify interpretable mobility tensions and evaluate potential interventions to reduce them. The project will also check the consistency of detected tensions with established indicators of territorial imbalances and evaluate the method's contributions compared to a priori definitions.
This position is suitable for individuals with a doctorate or those nearing thesis completion, who possess strong mathematical modeling, analysis, and programming skills. Candidates with experience in deep learning, representation learning, and spatial data science are particularly encouraged to apply. The role requires a rigorous, cooperative, and team-oriented individual with excellent interpersonal skills and adherence to confidentiality.
Télécom SudParis is a leading public engineering school in digital science and technology, with 1,000 students including 700 engineering students and approximately 150 doctoral candidates. It is part of the Institut Mines-Télécom, the leading group of engineering schools in France, and a co-founder of the Institut Polytechnique de Paris (IP Paris). The Institut Mines-Télécom is a public institution dedicated to higher education and research for innovation in engineering and digital technology, with strong ties to companies and a focus on major 21st-century transformations.
This is an 18-month fixed-term contract.
The main objective is to reveal mobility tensions through representational learning by integrating various data sources to identify and evaluate interventions.
Essential skills include excellent mathematical modeling and analysis skills, and good programming skills.
Applicants must submit a CV (max 2 pages), a 5-line explanation of their profile's match, a document presenting up to 3 best publications, and all grades obtained in Bachelor's and Master's level courses.
The contact persons are Lecturers Vincent Gauthier and Andrea Araldo, whose email addresses are [email protected] and [email protected].
Benefits include 44 days of vacation, possibility of teleworking, on-site restaurant and cafeteria, and accessibility by public transport.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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