Fixed-term contract offer – University of Limoges
The University of Limoges is seeking, on behalf of the E2Lim laboratory and the Partnership Foundation of the University of Limoges, a research engineer (post doctorant) to [...]
NewsCalls for proposalsEventsJob offer
CompetitionFellowshipPostdoctoral ContractDoctoral contractApprenticeshipFixed-term contractPermanent ContractInternshipResearchAdministrationCommunication
Publications Job offer
Air Liquide Job Offers
The French industrial group Air Liquide, member of the MaTerRE network, is looking for two R&D engineers within the Process & Combustion Engineering division, in the company’s [...]
Post-doctoral offer – ICMPE
The Institute of Chemistry and Materials Paris East (ICMPE), research laboratory of CNRS in the field of materials science for energy and sustainable processing, is looking for [...]
Permanent contract offer – SquairTech
SquairTech, a start-up developing porous solids (MOFs) used mainly in the field of air purification (industries, transport…), is looking for a research technician inphysical chemistry of materials. [...]
Thesis Offer – IMAP
The IMAP, member of MaTerRE, is looking for a PhD student to do a thesis on the design of new porous solid composites for CO2 capture. The [...]
Thesis offer – Laboratory of Molecular Electrochemistry
The MER team of the LEM, member of MaTerRE, is looking for a PhD student to do a thesis in electrochemistry! The thesis will aim to understand [...]
The CBI laboratory is looking for a post-doctoral researcher for its OSMIX project!
The CBI’s MIE (Innovative Materials for Energy) team and the IMAP are looking for a post-doctoral candidate for the OSMIX project, co-funded by MaTerRE. Its main missions [...]
PIMM thesis offer
The PIMM, member of MaTerRE, is looking for a PhD student to carry out a thesis on innovative and eco-responsible processes for the implementation of lithium-ion batteries. [...]
Postdoctoral Fellow for the IMAP
The IMAP at ENS Ulm is looking for a post-doctoral fellow for the creation and implementation of a Machine Learning methodology for the accelerated discovery of functional [...]