Assistant engineer in materials synthesis (M/F)
Apply before May 19 ! Working environment The Institut des Matériaux Poreux de Paris (IMAP) is a joint ENS–ESPCI–CNRS research unit within the PSL University in Paris. [...]
IMAP
Room Temperature Reduction of Nitrogen Oxide on Iron Metal–Organic Frameworks
Nitrogen oxides represent one of the main threats for the environment. Despite decades of intensive research efforts, a sustainable solution for NOx removal under environmental conditions is still [...]
Thesis offer – IMAP
IMAP is looking for a PhD student in materials chemistry to carry out the thesis “Structural analysis of stimuli responsive MOFs”, which aims to better understand the [...]
CNRS Junior Professor – IMAP
Are you interested to develop new porous solids based catalysts for the energy transition ? Then join the IMAP on a CNRS Tenure Track position, which provides [...]
CIFRE Thesis – IMAP / Tronox
The Tronox company, specialised in air depollution by TiO2 materials, called “Ultrafine”, is looking for a person to do a CIFRE thesis. Within the IMAP, the candidate [...]
Associate Professor – IMAP
IMAP is looking for a contact associate professor / in Chemistry of Crystallised Materials and Hybrid Materials for a period of one year. Find out more about [...]
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 [...]
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 [...]
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 [...]