Open Rank Neuroengineering Faculty, Data Science & Society

University of North Carolina at Chapel Hill; Chapel Hill (NC); On-site; USD 150,000 - 200,000; Full time

Job summary

University of North Carolina at Chapel Hill's Division of Data Science and Society within the School of Data and Information Sciences invites applicants for an open-rank tenure-track faculty position. This cluster hire focuses on machine learning, AI, and neuroengineering with clinical translation potential.

Ideal candidates will lead an externally funded program, teach at undergraduate and graduate levels, and collaborate across departments to advance neuroscience and data-driven health

Qualifications

• PhD or MD in AI/ML, data science, CS, statistics, computational neuroscience, biomedical engineering, or related field.
• Evidence of teaching and mentoring at undergraduate/graduate levels preferred.
• Ability to lead and secure external funding for research, and collaborate across departments.

Responsibilities

• Develop and sustain an externally funded research program in brain function and neural data.
• Teach and supervise undergraduate and graduate students across relevant courses.
• Collaborate with multiple departments and clinical partners to translate research to practice.

Skills

AI/ML

Interdisciplinary collaboration

Teaching

Education

PhD or MD in a relevant field

Tools

Python

ML frameworks

Job description

University of North Carolina at Chapel Hill's Division of Data Science and Society within the School of Data and Information Sciences invites applicants for an open-rank tenure-track faculty position. This cluster hire focuses on machine learning, AI, and neuroengineering with clinical translation potential.

Ideal candidates will lead an externally funded program, teach at undergraduate and graduate levels, and collaborate across departments to advance neuroscience and data-driven health