Junior Professor: AI-Driven Systems Pharmacology

Pharmacology & Transplantation UMR 1248; Limoges; Sur place; EUR 37 000 - 44 000; Plein temps

Résumé du poste

Pharmacology & Transplantation UMR 1248 in Limoges invites applications for a Junior Professor Chair focused on System Pharmacology augmented by Artificial Intelligence. The four-year fixed-term position emphasizes ML/DL for pharmacometrics, PK/PD, and clinical outcomes, with a path to permanent professorship following tenure review.

Teaching load ~42 hours/year at the faculty of pharmacy. The successful candidate will lead multi-scale modeling, co-supervise PhD work, and publish in top journals

Qualifications

• PhD in pharmacology, bioinformatics, statistics, or related field with specialization in machine learning.
• Demonstrated experience in using R or Python for developing ML and DL algorithms.
• Ability to work independently and initiate new research directions.
• Good communication skills in English, both written and oral.

Responsabilités

• Develop and integrate multi-scale models using ML and DL approaches.
• Co-supervise doctoral research, including study planning and resource management.
• Maintain constant scientific and technological watch to stay at the forefront of progress in pharmacometrics and predictive algorithms.
• Publish research results in at least three Q1-Q2 scientific journals during the four years of funding.
• Collaborate with clinical and industrial partners to clinically validate and valorize developed models.

Connaissances

R/Python for ML/DL

English communication

Independent researcher

Formation

PhD in pharmacology, bioinformatics, statistics, or related field with ML

Description du poste

Pharmacology & Transplantation UMR 1248 in Limoges invites applications for a Junior Professor Chair focused on System Pharmacology augmented by Artificial Intelligence. The four-year fixed-term position emphasizes ML/DL for pharmacometrics, PK/PD, and clinical outcomes, with a path to permanent professorship following tenure review.

Teaching load ~42 hours/year at the faculty of pharmacy. The successful candidate will lead multi-scale modeling, co-supervise PhD work, and publish in top journals