Teaching Track Faculty Position in Neurotechnology (Assistant Professor)

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 70,000 - 100,000; Full time

Job summary

Carnegie Mellon University is seeking a full-time Assistant Professor in the Neurotechnology area to lead project-based learning experiences and mentor students in its new Master of Science in Neural Technologies program. Applicants must possess a Ph.D. in a relevant field and have strong experience in interdisciplinary education and teaching. The position offers opportunities for promotion and renewable fixed terms. Join a renowned institution committed to advanced education in neuroscience and engineering.

Qualifications

• Demonstrated experience teaching at the university level.
• Ability to supervise capstone or sponsored projects.
• Strong record of excellence in teaching and mentoring.

Responsibilities

• Lead project-based learning experiences in neurotechnology.
• Supervise team-based capstone projects.
• Contribute to curriculum development and student mentorship.

Skills

Neuroscience

Engineering

Teaching

Mentoring

Interdisciplinary education

Education

Ph.D. in neuroscience, biomedical engineering, or related field

Job description

Description

Carnegie Mellon University invites applications for a full-time,Teaching Track faculty position at the level of Assistant Professorin the area of Neurotechnology. This is a full-time facultyposition within CMU’s Teaching Track, a career-oriented, non-tenuretrack with renewable fixed terms and opportunities for promotion. The position will take on core teaching and administrativeresponsibilities in the new Master of Science in NeuralTechnologies (MiNT), a professional master’s program jointlyoffered by the Neuroscience Institute and the Department ofBiomedical Engineering. The MiNT program is designed to preparestudents at the intersection of neuroscience and engineering,combining foundational neuroscience with technical fluency in areassuch as neural interfaces, robotics, AI, and biomedicalsystems.

Successful candidates will have the skill sets to leadproject-based learning experiences that connect graduate studentswith real-world neurotechnology problems and external partners. Thecore role of the position will be to supervise team-based capstoneand sponsored projects, mentor professional master’s students, helpshape applied curricular experiences, and contribute to otherteaching needs in neuroscience and/or engineering. Additionalteaching assignments may include courses in neurotechnology, neuralengineering, systems neuroscience, computational neuroscience,biomedical instrumentation, signal processing, or related areas,depending on departmental needs and the candidate’s expertise. Thisposition is especially well-suited for candidates who are excitedby interdisciplinary education and by teaching students preparingfor technical and professional careers in neurotechnology.

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

About Us

Carnegie Mellon University has long been a leader ininterdisciplinary neuroscience, engineering, and computation. TheNeuroscience Institute brings together research and educationspanning cognitive neuroscience, computational neuroscience,neurotechnology, and systems neuroscience. The Department ofBiomedical Engineering is similarly interdisciplinary andemphasizes collaboration across engineering, biology, neuroscience,robotics, computer science, and machine learning.

Qualifications

Candidates should have a background in both neuroscience andengineering, with demonstrated experience teaching at theuniversity level or in other relevant educational settings.Applicants whose expertise is aligned with neurotechnology andrelated interdisciplinary areas are strongly encouraged toapply. A Ph.D. in neuroscience, biomedical engineering, neuralengineering, bioengineering, electrical engineering, robotics,computer science, or a closely related field is required. Candidates with equivalent advanced training (e.g., MD) andsubstantial relevant professional experience may also be considered. The strongest applicants will have a record ofexcellence in teaching, mentoring, and interdisciplinaryengagement, along with the ability to supervise capstone orsponsored student projects that bridge neuroscience andengineering.

We are particularly interested in candidates who can contribute toapplied graduate education in areas such as neural interfaces,neuroengineering design, biomedical devices, computational methodsfor neural data, systems neuroscience, or other domains relevant toneurotechnology.

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, oradministration 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, veteranstatus, or genetic information. Furthermore, Carnegie MellonUniversity does not discriminate and is required not todiscriminate in violation of federal, state, or local laws orexecutive orders.