TELECOM ParisTech
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Postdoctoral Position in Computer Graphics and Machine Learning at Télécom Paris Télécom Paris in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 31, 2026
Country
France
University
TELECOM ParisTech

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About this position
Telecom Paris, part of Institut Mines-Télécom and a founding member of Institut Polytechnique de Paris, is recruiting a postdoctoral researcher for a 24-month fixed-term contract in computer graphics and machine learning.
The position is based in the Image, Data and Signal (IDS) department, within the IMAGES team at LTCI. The team works on the processing, analysis, and synthesis of digital images, volumes, and videos, with research spanning image acquisition modeling, application-specific knowledge, stochastic modeling, optimization, and increasingly deep learning. The postdoctoral project is centered on research missions in computer graphics (CG) and machine learning (ML), with opportunities to contribute to supervision/tutoring and to the visibility of the school and its partner institutions.
Eligibility highlights: applicants must hold a PhD or equivalent. Strong expertise in computer graphics, machine learning, and graphics programming is required. A good command of English is necessary, and knowledge of data science and deep learning is considered an advantage. The role also values teamwork, interpersonal communication, writing skills, and the ability to analyse and synthesise information.
Location: Palaiseau, Île-de-France, France (hybrid). The post mentions a green, accessible campus near Paris with commuting and telework benefits.
Funding/benefits: this is an employed postdoctoral contract rather than a scholarship. The posting highlights 49 days of annual leave, flexible working hours, telecommuting 1–3 days per week, and 75% public transport reimbursement, but does not state a salary.
Application deadline: 2026-08-31.
Apply via the job page using the application button and consult the linked job description document for further details.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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