Assistant Professor - Integrative Computational Biology of Arthropods
Core
Apply artificial intelligence, machine learning, and data science to address biological questions using arthropods, with potential emphasis on aquatic ecosystems, disease vectors, behavior, biodiversity, chemical ecology, climate change, genetics, neurobiology, or systematics.
Role type
Tenure-track Assistant Professor (Integrative Computational Biology)
Builds
A nationally and internationally recognized research program; contributes to undergraduate and graduate teaching and mentoring.
Domain
Computational biology, arthropod ecology, genetics/genomics, neurobiology, systematics
Deliverable
production ML models
Required skills
Artificial intelligence, machine learning, data science, biological sciences, (bio)informatics
Preferred skills
Integration of computational techniques with field, experimental, or other approaches
Technologies
AI, ML, data science tools
Responsibilities
Conduct research using computational approaches on arthropods; teach and mentor students; participate in departmental, college, university, and professional service.
Seniority
Assistant Professor (Tenure-track)