About the position
Position Description The Department of Biomedical Engineering (BME) at Boston University’s College of Engineering invites applications for a tenure-track Assistant Professor position in brain health and neuroscience. We seek scholars working in neural interfaces and implantable neurotechnology, neural decoding and closed-loop brain-computer interfaces, and/or AI for health, medicine, and science at the intersection of neural engineering and data science. This position is part of BU’s major investment in convergent research, bringing together bold ideas, deep expertise, and perspectives from across disciplines to take on society’s most critical challenges. The position is part of a University-wide cluster hire in Advancing Brain and Cognitive Health, which builds on BU’s strength in Health Across the Lifespan. Spanning biology, biomedical engineering, electrical and computer engineering, health sciences, mathematics and statistics, and psychological and brain sciences, the cluster draws on BU’s strengths in neuroscience, engineering, computation, and AI to pursue transformative research questions, advance our understanding of neural information processing, and develop new approaches to neurological and psychiatric disease. We seek candidates with expertise in one or more of the following areas who will complement other hires across the cluster, including faculty working in human imaging, computational neuroscience, rehabilitation, systems neuroscience, and neurobiology: - Neural interfaces and implantable neurotechnology, including electrode and sensor design, biocompatible materials, high-channel-count recording and stimulation, and—building on BU’s strengths in neurophotonics—integrated nanophotonic and optoelectronic probes that combine optical stimulation with electrophysiological recording. Areas of interest include challenges in chronic stability, biocompatibility, packaging, and wireless power that affect the long-term performance of neural implants. - Neural decoding and closed-loop brain-computer interfaces, including approaches to decoding neural signals into intent, movement, or speech and closing the loop through stimulation. Relevant areas include state-space and deep-learning decoders, adaptive and self-recalibrating algorithms robust to neural drift, and closed-loop co-adaptive control. - AI methods for health, medicine, and science, including AI grounded in a deeper understanding of brain computation, with potential applications spanning robotics and intelligent systems. Candidates may have opportunities for affiliation with Computing & Data Sciences and connections to BU’s broader AI for Science portfolio. BU BME is a top-ranked department and one of the largest in the nation with 39 tenured or tenure-track primary faculty. We attract exceptional graduate students and faculty at all levels and have strong ties to the BU Chobanian & Avedisian School of Medicine and other top medical research centers in the Boston area. Research activity led by primary BME faculty exceeds $30M per year. Our faculty benefit from strong infrastructure, nurtured by being one of only three awardees of a Whitaker Foundation Leadership Award and funding from the Coulter Foundation, to translate research advances to societal impact. BU BME faculty lead and participate in many high-profile, inter-disciplinary research centers, including the Biological Design Center, NSF-funded CELLMET Engineering Research Center, BUNano, Neurophotonics Center, Center for Systems Neuroscience, Photonics Center, and Hariri Center for Computing and Computer Engineering. Since its founding in 1839, Boston University has embraced a mission of openness and access, becoming one of the first universities in the nation to welcome all students of ability regardless of race, gender, or creed. That tradition shapes our enduring commitment to academic freedom, free inquiry, and the robust exchange of ideas. Please visit https://www.bu.edu/values/ to learn more about our shared values. We seek scholars who will contribute to our community of teachers and researchers through excellence in innovative scholarship, engaged teaching, and participation in the intellectual life of the University. Boston University provides an environment where faculty and students work together across disciplines, perspectives, and experiences to advance knowledge and address society’s most pressing challenges. Position Qualifications Candidates should have a PhD or equivalent degree in Biomedical Engineering or a related field, have postdoctoral experience, and show potential for leading an independent, vibrant, world-class research program, and a commitment to excellence and innovation in teaching, education, and mentorship of students. Successful candidates will be expected to lead an independent research program; actively engage in collaborative research; teach and mentor students; and provide rank-appropriate service to the department, university, and profession. The salary allocated for these roles is $125,000-$140,000. Final salary determination and rank placement will be based on the candidate's academic record, research background, years of qualifying experience, and a variety of other factors, including but not limited to licenses, specialty, departmental budgets, training and internal pay comparison. The stated hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Application Requirements Applicants should provide a personal statement that describes their interest in both the convergent area of Advancing Brain and Cognitive Health and the department; a curriculum vitae; a research statement describing their research interests and experience; a teaching and mentoring statement detailing their approach to teaching and mentoring in an inclusive and diverse learning environment; and the names and contact information of 3 references. Applications will be reviewed on a rolling basis and accepted until November 30. Only applications submitted via AJO will be reviewed. Boston University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, age, national origin, ethnicity, disability, veteran status, or any other characteristic protected by law or identified in the University’s Notice of Non-Discrimination. Retaliation is also prohibited. We are a VEVRAA Federal Contractor. Under Massachusetts law, we may not require or administer a lie detector test as a condition of employment or continued employment. Boston University, consistent with the AAU’s Principles on Preventing Sexual Harassment, conducts background checks for final candidates for certain faculty and staff positions. As part of this process, we ask current and past employers of the last seven years whether there has been a substantiated finding of sexual misconduct under their policies. To move forward, final candidates must complete and sign an “Authorization to Release Information” form after receiving an offer to enable this background check.
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