Activez les alertes d’offres d’emploi par e-mail !
Mulipliez les invitations à des entretiens
La Commission européenne recherche un chercheur pour étudier les propriétés de transport électrique et magnétique des matériaux 2D. Le candidat sera basé au centre de recherche CRHEA à Valbonne et interagira avec des laboratoires partenaires. Ce poste exige un doctorat en physique des solides et une expérience en caractérisation électrique et magnétotransport.
Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Physics » Condensed matter properties Physics » Solid state physics Physics » Surface physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 11 Jul 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
The contract involves studying the electrical and magnetic transport properties of epitaxial 2D materials.
She/he will carry out electrical measurements : I(V), characteristic curves and magnetic measurements using a magnetometer, magneto-transport on devices produced in a clean room using 2D materials. She/he will be involved in the simulation of synaptic functions using experimental data.
She/he will carry out electrical measurements : I(V), characteristic curves and magnetic measurements using a magnetometer, magneto-transport on devices produced in a clean room using 2D materials.
The contract will be funded in the framework of a CNRS research project. She or he will be located at research center of heteroepitaxy and applications (CRHEA), in Valbonne – Sophia Antipolis, France. She or he will also interact with the partner laboratories.
The candidate must have a PhD in solid state or/and semiconductor physics. She or he should have experience in electrical and magnetotransport characterisation and nanofabrication. Experience or knowledge in the fields of AI (deep learning, programming) would be appreciated.