5 knowledge-optimization PhD positions at CNRS

PhD student (M/F) in design of thermodynamic cycles using generative models

CNRS | Nancy, Lorraine | France | about 14 hours ago

synthesis. In particular, we aim to develop process knowledge bases to support generative methods and, secondly, to develop a tool for determining the optimal structure of any type of thermodynamic cycle by

M/F PhD student working on the development of a new generation of self-emitting, energy-efficient and low-cost QLED (quantum dot light-emitting diode) devices based on non-toxic nanocrystals.

CNRS | Pessac, Aquitaine | France | 6 days ago

and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent

PhD Position (M/F): Modeling and Experimental Investigation of a Membrane-Based Reciprocating Expander Coupled with a Linear Alternator for Waste Heat-to-Electricity Conversion

CNRS | Perpignan, Languedoc Roussillon | France | 6 days ago

mechanical motion into electricity; - An intelligent electronic control system, enabling optimized regulation of the thermodynamic cycle. Within the CALIFORCE3 framework, the REMLA system will be integrated

PhD position – “querying knowledge graphs representation spaces” M/F

CNRS | Aubiere, Auvergne | France | 7 days ago

optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical

Researcher in AI & HPC (M/F)

CNRS | Saint Aubin Routot, Haute Normandie | France | 6 days ago

of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize