About this opportunity
Carnegie Mellon University lists this Assistant Professor, NeuroTechnology opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Carnegie Mellon University: Dietrich College of Humanities and Social Sciences: Neuroscience Institute
Location
Pittsburgh, PA
Open Date
Sep 26, 2025
Description
Carnegie Mellon University (CMU) seeks highly qualified applicants for a tenure-track position within the Neuroscience Institute. Carnegie Mellon University (CMU) invites applications for a tenure-track faculty position jointly appointed between the Neuroscience Institute (NI) and the Department of Biomedical Engineering (BME). Appointments will be considered at the rank of Assistant Professor for scholars whose work advances neurotechnology. We are seeking candidates that fit our translational neurotechnology aspirations. Under the umbrella of “transforming neuro”, CMU’s NI and BME department place emphasis on neurocentric instrumentation, inference, and intervention. We are looking for candidates that fall in the broad area of neurotechnology for enabling intervention. Of particular interest are candidates that have a track record/ interest in human centric/clinical research as well as commercialization/entrepreneurship interest. The successful candidate will join a vibrant, collaborative environment spanning multiple departments at CMU, with its core strengths in robotics, machine learning and AI, cognitive and systems neuroscience, neurotechnology, data science, engineering, and biological sciences provide an exceptional platform for cross-disciplinary discovery and translation. Aspiring entrepreneurs will be supported by a variety of resources for entrepreneurship education, engagement, and collaboration. Responsibilities include establishing a visible, externally funded research program; teaching and mentoring in NI and BME; recruiting and supervising both masters and Ph.D. students; and contributing to curricular innovation, including emerging initiatives, such as a new masters program in neural technologies.
Qualifications include a Ph.D. or equivalent in neuroscience, biomedical engineering, robotics, computer science, electrical engineering, or a related field; evidence of research excellence and potential for leadership; and a commitment to high-quality teaching and mentoring.
Application Process
This institution is using Interfolio's Faculty Search to conductthis search. Applicants to this position receive a free Dossieraccount and can send all application materials, includingconfidential letters of recommendation, free of charge.
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.