Neuroengineering Open Rank Professor — ML & Brain Data

University of North Carolina - Chapel Hill; Elkins Hills (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

University of North Carolina at Chapel Hill (UNC-Chapel Hill) seeks an open-rank tenure-track faculty member to join the Neuroengineering Cluster within the Division of Data Science and Society. The hire focuses on machine learning, AI, and statistical methods to transform large-scale neural and behavioral data into clinically relevant insights.

Collaboration spans BME, CS, Neurosurgery, and SDIS. The candidate should establish an externally funded program that advances brain function

Qualifications

• Ph.D. and/or MD with expertise in AI/ML, data science, CS, statistics, computational neuroscience, or biomedical engineering.
• Experience applying AI and data science techniques to neuroscience and health-related data.
• Strong record of research with potential for teaching at undergraduate and graduate levels.

Responsibilities

• Lead an externally funded research program in ML for neural data and behavior.
• Collaborate across divisions on neuroengineering topics (BCIs, neuroimaging, neuromodulation).
• Contribute to teaching and mentoring at undergraduate and graduate levels.

Skills

Machine learning

Data science

AI frameworks

Statistical inference

Neural data analysis

Education

Ph.D. or MD

Job description

University of North Carolina at Chapel Hill (UNC-Chapel Hill) seeks an open-rank tenure-track faculty member to join the Neuroengineering Cluster within the Division of Data Science and Society. The hire focuses on machine learning, AI, and statistical methods to transform large-scale neural and behavioral data into clinically relevant insights.

Collaboration spans BME, CS, Neurosurgery, and SDIS. The candidate should establish an externally funded program that advances brain function