Software Engineering Institute | Carnegie Mellon University

Teaching Track Faculty Position in Neurotechnology (Assistant Professor)

Software Engineering Institute | Carnegie Mellon University  •  Pittsburgh, PA (Onsite)  •  5 hours ago
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Job Description

Carnegie Mellon University invites applications for a full-time, Teaching Track faculty position at the level of Assistant Professor in the area of Neurotechnology. This is a full-time faculty position within CMU’s Teaching Track, a career-oriented, non-tenure track with renewable fixed terms and opportunities for promotion. The position will take on core teaching and administrative responsibilities in the new Master of Science in Neural Technologies (MiNT), a professional master’s program jointly offered by the Neuroscience Institute and the Department of Biomedical Engineering. The MiNT program is designed to prepare students at the intersection of neuroscience and engineering, combining foundational neuroscience with technical fluency in areas such as neural interfaces, robotics, AI, and biomedical systems.

Successful candidates will have the skill sets to lead project-based learning experiences that connect graduate students with real-world neurotechnology problems and external partners. The core role of the position will be to supervise team-based capstone and sponsored projects, mentor professional master’s students, help shape applied curricular experiences, and contribute to other teaching needs in neuroscience and/or engineering. Additional teaching assignments may include courses in neurotechnology, neural engineering, systems neuroscience, computational neuroscience, biomedical instrumentation, signal processing, or related areas, depending on departmental needs and the candidate’s expertise. This position is especially well-suited for candidates who are excited by interdisciplinary education and by teaching students preparing for technical and professional careers in neurotechnology.

Teaching Track faculty at Carnegie Mellon are full members of the academic community. As in other CMU Teaching Track appointments, the successful candidate may contribute through teaching, curriculum development, student mentorship, and service. CMU’s policy further provides that Teaching Track appointments confer faculty status without tenure, and that the ranks are Assistant Teaching Professor, Associate Teaching Professor, and Teaching Professor. Typical appointment terms under the policy are three years for Assistant Teaching Professor, three years initially and then five years for subsequent reappointments at Associate Teaching Professor, and five years for Teaching Professor.

About Us

Carnegie Mellon University has long been a leader in interdisciplinary neuroscience, engineering, and computation. The Neuroscience Institute brings together research and education spanning cognitive neuroscience, computational neuroscience, neurotechnology, and systems neuroscience. The Department of Biomedical Engineering is similarly interdisciplinary and emphasizes collaboration across engineering, biology, neuroscience, robotics, computer science, and machine learning.

Qualifications

Qualifications

Candidates should have a background in both neuroscience and engineering, with demonstrated experience teaching at the university level or in other relevant educational settings. Applicants whose expertise is aligned with neurotechnology and related interdisciplinary areas are strongly encouraged to apply.

A Ph.D. in neuroscience, biomedical engineering, neural engineering, bioengineering, electrical engineering, robotics, computer science, or a closely related field is required. Candidates with equivalent advanced training (e.g., MD) and substantial relevant professional experience may also be considered. The strongest applicants will have a record of excellence in teaching, mentoring, and interdisciplinary engagement, along with the ability to supervise capstone or sponsored student projects that bridge neuroscience and engineering.

We are particularly interested in candidates who can contribute to applied graduate education in areas such as neural interfaces, neuroengineering design, biomedical devices, computational methods for neural data, systems neuroscience, or other domains relevant to neurotechnology.

Application Instructions

Please include CV and cover letter.

Equal Employment Opportunity Statement

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.

Software Engineering Institute | Carnegie Mellon University

About Software Engineering Institute | Carnegie Mellon University

At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Pittsburgh, PA
Year Founded
1984
Website
cmu.edu
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