Junior Professor Chair – PRESAGER: The University of Limoges invites applications for a Junior Professor Chair position focused on System Pharmacology enhanced by Artificial Intelligence (AI). This is a 4-year fixed-term academic and research role at the Faculty of Pharmacy, Limoges, in collaboration with INSERM U1248 – Pharmacology & Transplantation Laboratory (P&T Lab). The successful candidate will spearhead innovative research combining machine learning (ML), deep learning (DL), and multi-scale pharmacological modeling with clinical applications, and contribute to teaching in biophysics and health data science.
Junior Professor Chair – PRESAGER: System Pharmacology Augmented by Artificial Intelligence
Summary Table:
| Field | Details |
|---|---|
| Designation | Junior Professor Chair |
| Duration | 4 years |
| Location | Limoges, France |
| Institution | University of Limoges – Faculty of Pharmacy |
| Research Unit | INSERM U1248 – Pharmacology & Transplantation |
| Research Theme | System Pharmacology Augmented by AI |
| Key Areas | Machine Learning, Deep Learning, Pharmacology, Pharmacometrics |
| Funding | €200,000 (ANR) |
| Start Date | Upon selection |
| Last Date to Apply | Refer to Galaxie portal for deadlines |
Designation:
Junior Professor Chair (Chaire de Professeur Junior)
Research Area:
- System pharmacology
- Artificial Intelligence and Predictive Modeling
- Machine Learning and Deep Learning
- Multi-scale, Multi-source data modeling in health
Location:
- Research: CBRS, Faculties of Medicine and Pharmacy, Limoges
- Teaching: Faculty of Pharmacy, Biophysics Department, Limoges, France
Eligibility / Qualification:
- PhD or Doctorate in Pharmacology, Bioinformatics, Statistics, or a related field
- Specialization in Machine Learning or Artificial Intelligence
- Proficiency in R or Python for developing ML/DL models
- Experience with pharmacological modeling, statistical learning, and causal inference preferred
- Strong communication skills in English (written and spoken)
Job Description:
Research Responsibilities:
- Lead development of multi-scale predictive models using ML and DL
- Integrate existing PK/PD, system pharmacology, and clinical data
- Generate and process simulated and experimental data for AI-based analysis
- Publish results in top-tier (Q1-Q2) journals (minimum three over four years)
- Collaborate with clinical and industrial partners for model validation
- Supervise PhD candidates and manage research resources
Teaching Responsibilities:
- Participate in teaching mathematics, statistics, computer science, and AI in health
- Contribute to DFGSP, DFASP, M1 Biology Health, Public Health, and One Health programs
- Optionally teach digital health, telemedicine, electronic records, and chronic disease monitoring
Team & Resources:
- Research Lead: Prof. Pierre Marquet
- Pedagogical Contact: Prof. Jean-Luc Duroux
- Access to biostatistics and AI support, with engineers and data scientists
- Funding to recruit a PhD student
- Financial support: €200,000 from ANR
How to Apply:
- Visit the Galaxie Portal for application procedures:
https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/candCPJ.htm - Recruitment information: University of Limoges Recruitment Page
Last Date to Apply:
Refer to the Galaxie CPJ platform for official deadlines and submission guidelines.
Contacts:
Scientific Contact
Prof. Pierre Marquet
📞 05 55 05 61 40
✉️ pierre.marquet@unilim.fr
🔗 P&T Laboratory
Teaching Contact
Prof. Jean-Luc Duroux
📞 05 55 43 58 45
✉️ jean-luc.duroux@unilim.fr
🔗 Faculty of Pharmacy
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