Job offer

Organisation/Company University of Lille Department U1172 Research Field Computer science » Informatics Mathematics » Applied mathematics Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 May 2026 - 15:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 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

Offer Description

This PhD position is part of the IMMENSE interdisciplinary project, which aims to develop new magnetic resonance methods combining spectroscopy, imaging and artificial intelligence to improve diagnostics in medicine and characterization tools in chemistry and materials science.

Magnetic resonance spectroscopy (NMR/MRS) provides unique information about molecular composition in fields ranging from brain metabolism to structural biology and materials science. However, spectral resolution strongly depends on the magnetic field strength. High-field instruments (e.g., 7 T MRI or ultra-high-field NMR) provide much higher spectral resolution than widely available lower-field systems.

This PhD project aims to explore a new paradigm:

Can AI reconstruct high-field spectral information from low-field measurements?

The goal is to develop foundation models for spectroscopy, capable of learning general representations of NMR signals and enhancing spectral resolution across different instruments and applications.

Research Objectives

The PhD will develop AI models for spectral representation learning and super-resolution applied to magnetic resonance spectroscopy.

Main objectives include:

• Foundation models for spectroscopy: Develop deep learning models capable of learning general representations of NMR spectra across different magnetic fields and experimental conditions.
• Spectral super-resolution: Train models to reconstruct high-resolution spectra from low-field acquisitions (e.g., 3 T → 7 T brain MR spectroscopy).
• Cross-domain generalization: Investigate whether learned representations generalize across: brain metabolite spectroscopy, protein NMR, small-molecule spectroscopy, solid-state NMR for materials.
• Spectroscopy datasets and benchmarks: Contribute to building standardized datasets of paired low-field and high-field spectra for training and evaluation.

Where to apply

E-mail

Requirements

Research Field Computer science » Informatics Education Level Master Degree or equivalent

Skills/Qualifications

We are looking for a highly motivated candidate with a background in:

Required

• Artificial Intelligence / Machine Learning
• Computer Science or Signal Processing
• Python and deep learning frameworks (PyTorch preferred)

Preferred

• generative models or representation learning
• medical imaging or spectroscopy

Education

Master’s degree or engineering degree in AI, computer science, applied mathematics, signal processing, physics or biomedical engineering.

Languages ENGLISH Level Excellent

Additional Information

The PhD fellowship duration is 3 years and correspond to a work contract protected by employment laws of France that includes full social benefit. Family allowance is provided if applicable. The doctoral candidate will be enrolled in doctoral schools associated to the University of Lille. Starting date is from October 1st 2026.

Eligibility criteria

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)).

Selection process

How to apply ?

Application must include at the minimum a copy of the Master/PhD diploma, a curriculum vitae and contact(s) to request for external evaluation and could include any additional documents that might be judged useful (Toefl score, notes, publication…)

Short-listed candidates will be invited for an interview, by teleconference if more convenient. Candidates that are not selected will be informed by email.

Additional comments

Research Environment

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 clinical 3T and 7T MRI full-body imager at the University hospital. The IMMENSE project will provide the opportunity to join a large interdisciplinary project, with expertise in AI, spectroscopy, neuroscience, and chemistry and 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). She/He will join the 8 early-stage researchers recruited on the project.