Open Rank Neuroengineering Cluster- AssistantAssociateFull Professor

Position Summary
The Division of Data Science and Society ( DSS ) at UNC -Chapel Hills School of Data and Information Sciences ( SDIS ) is excited to announce an open-rank tenure-track faculty position as part of the Universitys neuroengineering cluster hire initiative. This cluster unites the Lampe Joint Department of Biomedical Engineering the Department of Computer Science the Department of Neurosurgery and DSS to build a collaborative interdisciplinary hub in neuroengineering focused on brain-computer interfaces (BCIs) brain function imaging and interpretation closed-loop neuromodulation and the translation of neuroengineering innovations into improved human health. Within this cluster the DSS position will provide leadership in machine learning statistical and AI frameworks that transform complex large-scale multi-modal neuroscience and behavioral data into clinically relevant insights addressing core challenges of heterogeneity dimensionality harmonization and data governance. This position complements cluster strengths in neuroengineering devices real-time computing systems and clinical translation serving as a link between data acquisition scientific discovery and application. The successful candidate will work with cluster faculty to develop and sustain an externally funded research program focused on understanding predicting and translating brain function into large-scale neural and behavioral data. Research areas of interest include machine learning and statistical inference for neural data multimodal neural data integration and harmonization computational modeling of cognition and behavior neuroimaging analytics adaptive neuromodulation foundation models for neural and behavioral data and related approaches that advance understanding of brain function and support neurotechnology development. A translational emphasis (such as clinical decision support or neurotechnology deployment) that can position this work to deliver direct measurable benefits to human health is also desirable. Faculty in this cluster will be recruited with a strong commitment to team science including joint appointments where appropriate and coordinated research programs spanning devices systems computing modeling and translation. Through collaboration among faculty students external partners and the clinical community the Division of Data Science and Society in SDIS aims to translate research discoveries into tangible societal benefits. We invite you to join the DSS faculty and be part of this mission.

Preferred Qualifications Competencies And Experience
Preferred applicants will have a strong research record evidence of interest in developing teaching and supervising courses at the undergraduate and graduate levels and an aptitude in working collaboratively in interdisciplinary research. Research with a focus on machine learning and statistical inference for large-scale multi-modal neural data is preferred. Expertise in areas such as computational modeling of cognition and behavior brain-computer interfaces closed-loop neuromodulation neuroimaging and explainable and interpretable AI is preferred. Additionally candidates must be able to engage with researchers clinicians professionals and stakeholders from diverse disciplines. A record of or the potential to secure external funding to support research projects is strongly preferred.