Assistant Professor in Computational Neuroethology
Core
Develop an innovative, interdisciplinary research program integrating computational or theoretical approaches with modern systems neuroscience to address fundamental questions on the neural basis of naturalistic animal behavior.
Role type
Assistant Professor (Tenure-track)
Builds
Independent, externally funded research program; undergraduate and graduate teaching in neurobiology and behavior
Domain
Neuroscience / Computational Neuroethology
Deliverable
production ML models
Required skills
Computational modeling, Theoretical neuroscience, Systems neuroscience, Experimental design, Scientific writing, Grant writing, Undergraduate teaching, Graduate mentorship
Preferred skills
Experience with artificial intelligence, Collaboration with machine learning communities, Inclusive teaching practices
Technologies
Light sheet microscopy, Super-resolution microscopy, Advanced confocal microscopy, Next-generation sequencing
Responsibilities
Conduct rigorous independent research; Teach foundational undergraduate courses in neurobiology and behavior; Supervise and mentor graduate students
Seniority
Assistant Professor (Tenure-track)