Job offer

The IMMENSE project is funded by the University of Lille, France. Our overarching goal is to image the spatial distribution of chemical compounds using magnetic resonance at high magnetic field. The developed chemical imaging approach will be applied both (i) in medicine and biology to monitor the aggregation of proteins or metabolic disorders in brains and (ii) in chemistry and materials science to diagnose the formation of defects in batteries and the degradation of solar cells.

The early-stage researchers recruited on the IMMENSE project will benefit from the exceptional equipment available at the University of Lille, including a 1.2GHz NMR spectrometer, a 263 GHz EPR spectrometer and a 7T MRI full-body imager at the University hospital. The IMMENSE project will provide the opportunity to join a large interdisciplinary project, with high potential for training in magnetic resonance techniques. The early stage researchers will benefit from the expertise of the 4 laboratories in the local network, in solid state NMR and material science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR and protein biochemistry (ISB), in EPR of energy-related material (LASIRE).

Master Degree or equivalent, We are looking for talented, highly-motivated experimentally skilled young scientists with an engineering degree or a master's degree or equivalent in disciplines related to physics, chemistry, materials science, or data science. We are committed to equal opportunities in recruitment. The IMMENSE project is dedicated to promoting the role of women in science and, therefore, explicitly invites women to apply. Specific Requirements

Knowledge of NMR spectroscopy would be an advantage.

Languages ENGLISH, To assess whether the candidate can initiate a PhD programme are the following: 1. (25%) Merit and excellence criteria: academic track record will be one of the considered criteria (examination and dissertation marks, courses followed, internships, etc.) 2. (20%) Knowledge and experience in the field 3. (20%) Non-academic skills, such as communication skills and team work 4. (25%) English language proficiency and criteria like previous mobility, teaching experience, publication record, awards. 5. (10%) external expert assessments (reference letter(s)).