Open rank tenured or tenure-eligible position in Electrical and Computer Engineering

Association of American Medical Colleges; Charlottesville (VA); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a tenure-eligible or tenured faculty member to join their dynamic team in the Department of Electrical and Computer Engineering. This role focuses on advancing research in neuroimaging, brain function, and artificial intelligence, with a strong emphasis on interdisciplinary collaboration. The position offers access to cutting-edge facilities and opportunities for impactful research addressing societal challenges. Located in the vibrant city of Charlottesville, this is a unique opportunity to contribute to groundbreaking advancements in neuroscience and related fields while preparing the next generation of leaders in academia and industry.

Qualifications

• Candidates should have a strong background in neuroimaging and machine learning.
• Experience with brain-machine interfaces and neural signal processing is desirable.

Responsibilities

• Conduct research in neuroimaging and brain function.
• Teach courses and mentor students in the department.

Skills

Neuroimaging

Machine Learning

Signal Processing

Network Theory

Neuroinformatics

Education

PhD in Electrical Engineering or related field

Job description

The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for a tenure-eligible or tenured position in the Department of Electrical and Computer Engineering. The primary responsibilities include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications.

The search focuses on neuroimaging, brain function and connectivity, and artificial intelligence, with applications to neuroscience and/or neurodegenerative disorders. Candidates interested in developing technologies to enable a comprehensive understanding of the brain are especially encouraged to apply. Integration of computational methods such as machine learning, signal processing, network theory, and applications to neurological disorders like autism and Alzheimer's disease are desirable.

Example research areas include, but are not limited to:

• Neuroimaging
• Investigation of brain function and connectivity at multiple scales
• Brain-machine interfaces and neural signal processing
• Neuromodulation and stimulation
• Neuroinformatics

The Electrical and Computer Engineering (ECE) Department at UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and energy systems. The department emphasizes both foundational and applied research, preparing students for leadership roles in industry, academia, and government. Faculty benefit from access to cutting-edge facilities and are encouraged to engage in research addressing societal challenges. Proximity to the School of Medicine provides opportunities for collaborations in Radiology, Neurology, Neuroscience, and Neurosurgery, among others, including Biomedical Engineering, Psychology, and Data Science.

The University of Virginia's 2030 plan highlights Brain and Neuroscience as a major societal challenge and opportunity for multidisciplinary research. Multiple faculty recruitments are underway to strengthen this research community, with support from the Provost and schools, and participation in the Brain and Neuroscience Initiative. This effort is part of a major Grand Challenges research investment of over $50M in Brain and Neuroscience.

This position is based in Charlottesville at UVA's main campus. UVA is a highly selective institution, ranked among the top public universities in the U.S., with a high graduation rate. Located in Charlottesville, a vibrant city recognized as one of the best places to live, UVA offers proximity to Washington D.C., facilitating collaborations with federal agencies. More information about UVA, the city, faculty benefits, and related topics can be found at https://hr.virginia.edu/careers-uva/why-uva.