R&D Engineer at Télécom Paris - CDD 18 months

Job description

Télécom Paris

Télécom Paris, a founding member of Institut Polytechnique de Paris and a part of IMT (Institut Mines-Télécom), is ranked as one of the top 5 engineering schools in France. Recognized for its invaluable corporate connections, Telecom Paris is an institution with a strong sense of community and international representation. This public higher-education establishment guarantees excellent employability in all sectors and is the leading engineering school for the entire digital spectrum (from hardware to software technology).

With its high-level instruction and innovative pedagogy, Télécom Paris is at the heart of a unique innovation ecosystem which is based on collaborative classroom engagement, an emphasis on project-based training, and multidisciplinary research. Our scientific faculty are affiliated with two key research laboratories; first, the LTCI laboratory, which is recognized by the HCERES as a leading facility in the field of digital sciences and has a remarkable international outreach. And second, the i3 laboratory, Interdisciplinary Institute of Innovation (I3 - UMR 9217 of the CNRS), which carries out multidisciplinary research focused on innovation and in collaboration with the École Polytechnique and Mines ParisTech.

Based in Palaiseau, France at the heart of the Institut Polytechnique campus alongside the École Polytechnique, ENSTA, Télécom Sud Paris and ENSAE, Télécom Paris also has a central-Paris incubator at the epicenter of the French start-up ecosystem.

Télécom Paris is a living laboratory for all the major technological and societal challenges including artificial intelligence, quantum computing, IoT, cybersecurity, large-scale digital equipment (Cloud Computing), 5G/6G, and Green IT.


The Multimedia team carries out research in the area of image and video compression, as well as the transport and orchestration of multimedia content. In recent years, the team has broadened its research horizons to computer vision in order to design new multimedia processing methods. This rapidly expanding field and the number of requests to set up research projects has increased considerably over last few years due to recent progress and the many possible applications. In addition, the computer vision scientific community has grown enormously and conferences such as the CVPR, ICCV, and ECCV are becoming major scientific and economic hubs for collaboration. By reinforcing the team on this theme, we hope that the Multimedia team will be able to permanently establish itself in this highly competitive ecosystem.

Through this window of opportunity, we wish to firmly establish the team’s research trajectory while reinforcing, if possible, its expertise in video processing and analysis. In this way, we will maintain our objective of orienting the team towards the field of computer vision while maintaining our various unique areas of expertise. And while the field of computer vision is indeed vast, we seeking an individual with skills that are complementary to those of the current team in order to launch new perspectives and collaborative opportunities.


1. To carry out research assignments in the field of deep learning:

  • Participating in the development of research contracts and maintaining the best level of equipment in the laboratories in the field of deep learning. Requires setting up a multi-GPU computing server and guiding researchers in its use.
  • Designing, developing, and implementing innovative technical or methodological instrumentation as part of the scientific projects they take part in.
  • Developing prototypes, building specific simulation equipment, and structures, maintaining test platforms and testing ground, developing computer programs, designing and specifying electronic circuits, implementing test or measurement programs.
  • Developing and carrying out demonstrations and operational presentations of equipment and platforms.
  • Documenting the software or hardware equipment designed for the research programs in order to allow their successful transfer.
  • Within the framework of research projects in human sciences or management, designing and implementing analytical tools and methods (e.g. statistical, sociological, ergonomic, econometric, marketing, appropriateness, study implementation, data analyses, etc.).

2. Fostering the international recognition of Télécom Paris and IMT through various channels:

  • Disseminating research findings via scholarly writing and publications;
  • Lead presentations and seminars; take an active role in scholarly and professional organizations;
  • Maintain close relations with academic institutions, research centers, and companies.

3. Other responsibilities:

  • Where appropriate, direct and manage the staff placed under their responsibility or supervision;
  • Report on the activities and results of the tasks for which they are responsible.

Job requirements

Required skills, experience, and knowledge:

  • In-depth theoretical and practical knowledge in the field of deep learning and system administration;
  • Strong knowledge of Linux distributions;
  • An excellent command of spoken and written English.

Preferred skills, experience, and knowledge:

  • Know how to use a calculation server;
  • Experience with one or more deep learning systems (e.g. PyTorch, TensorFlow).

Other abilities and skills:

  • The ability to be an active team member in a diverse faculty, staff, and student environment;
  • Strong teaching, pedagogical, and mentoring capabilities;
  • Superb written and interpersonal communication skills.

Candidates with one or more of the following required qualifications may apply:

  • Holds a post-graduate degree
  • Holds a Bachelor’s degree or equivalent with at least 4 years of professional experience.
  • A 3-year higher education degree with at least 6 years of professional experience.
  • A 2-year higher education degree with at least 10 years of professional experience.


Deadline : August 19th, 2022

CDD 18 months

Scientific contact > Stéphane Lathuillière : lathuiliere@telecom-paris.fr

Administrative contact > Delphine Laude : delphine.laude@telecom-paris.fr

Telecom Paris is an equal-opportunity employer.
All our positions are open to individuals with disabilities.