PhD student (M/F) in NMR spectroscopy and machine learning

Unité de Catalyse et de Chimie du Solide

VILLENEUVE D ASCQ • Nord

  • FTC PhD student / Offer for thesis
  • 36 months
  • Doctorate

This offer is available in English version

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

Unité de Catalyse et de Chimie du Solide

Contract Type

FTC PhD student / Offer for thesis

Working hHours

Full Time

Workplace

59652 VILLENEUVE D ASCQ

Contract Duration

36 months

Date of Hire

01/10/2026

Remuneration

2300 € gross monthly

Apply Application Deadline : 20 July 2026 23:59

Job Description

Thesis Subject

In recent years, the advent of NMR magnets producing magnetic fields higher than 23 T, in which Larmor frequency, ν0(1H), exceeds 1 GHz, has enabled the acquisition of NMR spectra with unparalleled resolution, allowing to separate similar chemical environments in molecules or materials. This gain in resolution is particularly useful for determining the atomic-scale structure of biological macromolecules, such as proteins, or inorganic and hybrid materials containing quadrupolar nuclei, such as 27Al or 17O. However, the use of ultra-high field NMR spectroscopy is limited by the cost of NMR magnets producing magnetic fields higher than 23 T. Owing to this high cost, the number of ultra-high field NMR magnets is much scarcer than that of lower field magnets.
This project aims at exploring how the resolution gains obtained with ultra-high field NMR spectrometers can be transferred to spectra recorded at lower fields through the use of machine learning-based tools. This approach requires training machine/deep learning tools on simulated and experimental NMR datasets obtained at different magnetic fields ranging from 9.4 to 28.2 T (i.e., 400 MHz ≤ ν0(1H) ≤ 1.2 GHz). It will be tested on different types of samples, such as proteins or small molecules in solution, as well as inorganic and hybrid materials containing quadrupolar nuclei. This project will benefit from the presence in Lille of NMR spectrometers with different fields, including a 1.2 GHz NMR spectrometer that is unique in France.

Your Work Environment

This project is funded by the University of Lille's Excellence Initiative as part of the IMMENSE interdisciplinary project. The PhD student will be supervised by Olivier Lafon at the University of Lille (https://uccs.univ-lille.fr/en/research-teams/solid-state-chemistry-department/rm2i-team and https://pro.univ-lille.fr/en/translate-to-english-olivier-lafon). This project will benefit from the unique high-field NMR magnets (800, 900 MHz and 1.2 GHz) of Lille NMR facility.

Compensation and benefits

Compensation

2300 € gross monthly

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

Offer reference UMR8181-OLILAF-005
CN Section(s) / Research Area Materials, nanomaterials and processes chemistry

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions

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PhD student (M/F) in NMR spectroscopy and machine learning

FTC PhD student / Offer for thesis • 36 months • Doctorate • VILLENEUVE D ASCQ

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