{"id":12601,"date":"2026-06-16T09:00:12","date_gmt":"2026-06-16T07:00:12","guid":{"rendered":"https:\/\/talentimpulse.cea.fr\/offre-emploi\/deploiement-materiel-robuste-de-reseaux-de-neurones\/"},"modified":"2026-06-21T09:00:08","modified_gmt":"2026-06-21T07:00:08","slug":"deploiement-materiel-robuste-de-reseaux-de-neurones","status":"publish","type":"offre-emploi","link":"https:\/\/talentimpulse.cea.fr\/en\/offre-emploi\/deploiement-materiel-robuste-de-reseaux-de-neurones\/","title":{"rendered":"AI model deployment using Hardware-Aware on-chip Fine Tuning"},"content":{"rendered":"<p>Emerging unconventional hardware technologies are essential for future Edge-AI applications, but they often suffer from variability, mismatches, and technology dispersion. These non-idealities can strongly reduce AI inference accuracy if no fine-tuning or calibration is applied. Traditional supervised fine-tuning is difficult to industrialize because it raises issues related to data confidentiality, service quality, software complexity, and hardware constraints. This PhD project aims to develop hardware-algorithm co-design methods that avoid the need for fully supervised on-chip retraining. The main goal is to create task-agnostic, inference-level self-calibration strategies able to compensate hardware mismatches at the system level. The work will study existing adaptation methods, including weight-based, feature-based, output-based, and domain adaptation approaches. The project will define a relevant Edge-AI application, develop a generic fine-tuning method, and validate it through low-level electrical simulations. If possible, the proposed algorithm may also be tested experimentally on a custom ASIC-based hardware setup.<\/p>","protected":false},"featured_media":0,"template":"","categories":[185],"tags":[],"class_list":["post-12601","offre-emploi","type-offre-emploi","status-publish","hentry","category-photonique-imageurs-et-ecrans"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/offre-emploi\/12601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/offre-emploi"}],"about":[{"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/types\/offre-emploi"}],"wp:attachment":[{"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/media?parent=12601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/categories?post=12601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/talentimpulse.cea.fr\/en\/wp-json\/wp\/v2\/tags?post=12601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}