AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data)
We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which aims to design a novel, rapid diagnostic platform for Bloodstream In- fections (BSI), capable of simultaneously identifying pathogens and determining their antibiotic resistance profiles directly from clinical samples.
You will play a key role within a multidisciplinary team (ISA Laboratory and Hospice Civil de Lyon), turning complex spectral data into meaningful clinical insights, to enhance patient out- comes and combat microbial resistance.
Project: AI-based Diagnosis of bloodstream Infection from digitized BOttom-up Proteomes (AIDIBOP)
Location: LIRIS, École Centrale de Lyon, France.
Duration: 2 years (expected start: February 2026, flexible within Q1 2026).
Application Deadline: December 15th, 2025
See join pdf file to know how to apply.
