Missions

We are looking for a postdoctoral researcher in the field of image generation algorithms (specializing in Deep Learning) for a 12-month position.
The work will take place within the IMAGE research team of the GREYC laboratory, located in Caen, France.
The successful candidate will be supervised by David Tschumperlé (CNRS Research Director, Team Leader), Julien Rabin (Associate Professor, HDR, ENSICAEN), and Romain Hérault (Full Professor, University of Caen Normandy).

Activities

This position is part of the IArtist project, a 3-year research program funded by the Normandy Region. The project aims to study various aspects of artistic know-how in the field of digital graphic creation, to explicitly model them in algorithmic form, and to integrate them into state-of-the-art artificial intelligence methods for image and video generation — and, more generally, into digital tools for artistic creation assistance.
The goal is to make these digital tools lighter, more interactive, and the underlying algorithms more explainable.

Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art creation.
These software projects, developed within the GREYC laboratory in Caen, have enabled us to maintain rich collaborations with digital artists worldwide (including photographers, illustrators, digital painters, video creators, and others).

The central idea of the project is therefore to leverage these unique collaborations to design and study the elementary building blocks of neural architectures that could form the generative neural networks of tomorrow.

Skills

The candidate must hold a PhD in computer science (or a related field) with a specialization in image processing and machine learning.
They should demonstrate strong algorithmic programming skills (in Python, and possibly C++) and be comfortable working with standard Python libraries for machine learning, in particular 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 the INS2I institute, and secondarily with INSIS), the University of Caen Normandy (UNICAEN), and the National Graduate School of Engineering of Caen (ENSICAEN).

Founded in 1995 (and recognized as a CNRS research unit since 2000), the laboratory was created through the merger of several research teams in computer science and electronics. It currently comprises 160 members, including 81 researchers and faculty members, and 19 technical and administrative staff.

GREYC conducts fundamental, methodological, and applied research in the field of digital sciences. It is recognized for its original scientific contributions, hardware and software developments, experimental validations, and multidisciplinary collaborations.

The laboratory is located mainly on the Campus 2 site in Caen (Faculty of Science and ENSICAEN). Research is organized within several teams that play a key role in the regional, national, and international scientific landscape.

The IMAGE team of GREYC focuses on developing new methods for the processing and analysis of signals, images, videos, and discrete data, addressing theoretical, algorithmic, methodological, and practical challenges. Several of these methods are applied to real-world problems, particularly through collaborations with biomedical imaging research centers in Lower Normandy.

Please note that this position is located within a restricted research area subject to the Protection of Scientific and Technical Potential (PPST) regulations. Consequently, authorization from the competent authority of the French Ministry of Higher Education and Research (MESR) will be required prior to appointment.

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

Laptop computer and access to computing servers. No particular risks identified.