Presentation

Supporting ambitious, forward-looking research

The CaeSAR project supports high-level fundamental research through calls for expressions of interest (AMI). The aim? To consolidate the recognized expertise of the Caen site, while fostering the emergence of multidisciplinary collaborations capable of giving rise to innovative projects.

Themes at the heart of contemporary issues

This AMI targets four major areas, to be explored individually or in combination:

– Memory and peace

– Biodiversity and the climate risks

– Artificial intelligence

– Innovation in healthcare

These areas of research, chosen for their strong scientific and societal potential, draw on the region’s existing strengths.

 

National and international ambitions

The funding granted is intended to act as a springboard to other sources of support, notably European. From the outset, projects submitted must integrate a national and/or international development strategy, in the short to medium term.

The Research and Innovation Department can offer you personalized support to help you structure and enhance your future funding applications.

Apply AMI

Winning Projects

– Memory and peace

– Biodiversity and the climate risks

– Artificial intelligence

CAI4Science – AI for Science at Caen 
CAI4Science (AI for Science in Caen) is an ambitious research project that aims to harness the transformative potential of artificial intelligence (AI) to accelerate scientific discovery across various fields. The project brings together the expertise of four research laboratories at the University of Caen Normandie (CIMAP, CRISMAT, LPC, and GREYC) to develop and deploy advanced AI/machine learning technologies tailored to the specific needs of the domain sciences. The main research thrusts include: the integration of physical models and machine learning, the use of foundation models for scientific discovery, the development of surrogate and generative models for scientific simulations, as well as fundamental advancements in core AI areas such as optimization, interpretability, and robustness. The project also aims to train and disseminate these innovations to the scientific community through summer schools, workshops, and doctoral programs.

– Innovation in healthcare