Assistant Professor in Computing Science with a focus on machine learning
Core
Tenure-track Assistant Professor in machine learning focusing on adaptive mechanisms in living systems under stress, integrating mathematical modeling with ecology and biology.
Role type
Tenure-track Assistant Professor (Research & Teaching)
Builds
Independent research group and pedagogical programs in machine learning/AI
Domain
Computational biology, ecology, plant physiology, molecular biology
Deliverable
production ML models | research
Required skills
Machine learning for inference/prediction in complex dynamical systems, independent research, securing external funding, supervising doctoral students and postdocs, teaching undergraduate/graduate courses
Preferred skills
Interdisciplinary work experience, experience with living systems
Technologies
Machine learning frameworks for dynamical systems
Responsibilities
Develop independent research aligned with Center theme, supervise doctoral students and postdocs, teach ML/AI courses, pursue external research funding
Seniority
Assistant Professor (Tenure-track, 6-year probationary period)