Missions

We are looking for a research engineer (Master's level M2+ or equivalent) in algorithms for image processing and image generation (Deep Learning specialization), for a duration of 10 to 12 months. The work will take place within the IMAGE team at the GREYC laboratory, in Caen, France. The position will be supervised by David Tschumperlé (CNRS Research Director, Team Leader) and Julien Rabin (Associate Professor with HDR, ENSICAEN)

Activities

This recruitment is part of the IArtist project, a research initiative funded by the Normandy region over a total duration of three years. Its aim is to study the various aspects of artistic know-how in the field of digital graphic creation, to explicitly model these processes algorithmically, and to integrate them into state-of-the-art artificial intelligence methods for image and video generation (and, more broadly, into digital tools that assist artistic creation). The goal is to make these digital tools lighter, more interactive, and the associated algorithms more interpretable.

Our work builds on more than 20 years of expertise in algorithmic research for image processing, and over 15 years of experience developing open-source software dedicated to image processing and digital creation. The software we develop at the GREYC laboratory in Caen enables us to maintain rich interactions with digital artists worldwide (photographers, illustrators, digital painters, video artists, etc.). The idea behind this project is to take advantage of these unique interactions to design and study the fundamental building blocks of neural architectures that could form the generative neural networks of tomorrow

Skills

The applicant must hold a Master's degree (or equivalent) with specialisation in image processing and machine learning. They should demonstrate strong skills in algorithm programming (Python, and possibly C++), and be comfortable working with standard Python libraries for machine learning (especially PyTorch).

Work Context

The GREYC laboratory (Research Group in Computer Science, Image, Automation and Instrumentation of Caen) is a joint research unit associated with the CNRS (primarily with INS2I and secondarily with INSIS), the University of Caen Normandy (UNICAEN), and the National Graduate School of Engineering of Caen (ENSICAEN). It was founded in 1995 (CNRS UMR since 2000) through the merger of several research teams in computer science and electronics.
The laboratory comprises 160 members, including 81 researchers and faculty members, and 19 technical and administrative staff (ITA-BIATSS). GREYC conducts fundamental, methodological, and applied research on topics related to digital sciences. It is recognized for its original contributions, hardware and software developments, experimental validations, and multidisciplinary collaborations.

The GREYC laboratory is hosted by its academic institutions mainly on the Caen Campus 2 site (Faculty of Science and ENSICAEN). Research is primarily carried out within its teams, which play an important role in the regional, national, and international scientific landscape.

The research activities of the Image team at GREYC focus on developing new methods for processing and analyzing signals/images/videos and discrete data, with an emphasis on overcoming theoretical, algorithmic, methodological, and practical challenges. Several of these methods are applied to concrete problems, benefiting notably from collaborations with biomedical imaging research centers in Lower Normandy.

The position falls under the regulations for the protection of scientific and technical potential (PPST) and therefore requires, in accordance with current regulations, that your appointment be authorized by the competent authority of the French Ministry of Higher Education and Research (MESR).

The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.

Constraints and risks

Work on a laptop computer + use of compute servers. No particular risks.