Open Rank Neuroengineering Professor — ML & Imaging

The University of North Carolina at Chapel Hill; North Carolina; Vor Ort; USD 110.000 - 180.000; Vollzeit

Zusammenfassung

The University of North Carolina at Chapel Hill’s Division of Data Science and Society within the School of Data and Information Sciences (SDIS) invites applications for an open-rank tenure-track faculty position in the neuroengineering cluster. The successful candidate will contribute to brain-computer interfaces, neuroimaging analytics, and translational neurotechnology research.

We seek a scholar who develops machine learning and AI methods for large-scale neural data, collaborates across

Qualifikationen

• PhD and/or MD in artificial intelligence/machine learning, data science, computer science, statistics, computational neuroscience, biomedical engineering, or a related field that applies AI and data science techniques.
• Strong record of research, teaching, and mentoring at undergraduate and graduate levels; ability to work collaboratively in interdisciplinary settings.
• Preference for candidates with the potential to secure external funding to support research projects.

Aufgaben

• Develop and sustain an externally funded research program focused on understanding, predicting, and translating brain function using large-scale neural and behavioral data.
• Lead machine learning, statistical inference, and AI initiatives for multimodal neural data and translational neuroengineering applications.
• Collaborate across departments and clinical partners to advance device, systems, computing, modeling, and translation in neuroengineering.

Ausbildung

Ph.D. or MD

Jobbeschreibung

The University of North Carolina at Chapel Hill’s Division of Data Science and Society within the School of Data and Information Sciences (SDIS) invites applications for an open-rank tenure-track faculty position in the neuroengineering cluster. The successful candidate will contribute to brain-computer interfaces, neuroimaging analytics, and translational neurotechnology research.

We seek a scholar who develops machine learning and AI methods for large-scale neural data, collaborates across