Assistant Professor Tenure-Track Faculty

1000scholars; Minneapolis (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

University of Minnesota invites applications for a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering, with focus areas in Computer Engineering, Artificial Intelligence, and Optics/Photonics. The appointment begins Fall 2027 with a competitive salary commensurate with qualifications.

The successful candidate will establish a vibrant, externally funded research program, teach undergraduate and graduate courses, and contribute to service and leadership within

Qualifications

• Earned doctorate or equivalent degree required at time of appointment.
• Fall 2027 start anticipated.

Responsibilities

• Engage in research, publication, and creation of scientific and engineering knowledge.
• Develop research proposals for external funding opportunities and collaborate with researchers from academia, industry, and government labs on joint projects.
• Develop and teach undergraduate and graduate courses in the Department of Electrical and Computer Engineering.
• Advise students regarding coursework and career goals.
• Provide service through governance and outreach activities within the department and university.
• Contribute to the profession and stay current with the field.

Education

PhD required

Job description

About the Job

The Department of Electrical and Computer Engineering at the University of Minnesota Twin Cities invites applications in three areas: (i) Computer Engineering, (ii) Artificial Intelligence, and (iii) Optics and Photonics. This tenure-track faculty position will be filled at the Assistant Professor level; salary will be commensurate with qualifications and experience.

Computer Engineering

Expertise in chip design and verification, electronic design automation, computer architecture, and emerging computing platforms is of particular interest, including AI/ML hardware, heterogeneous integration, quantum and physics-inspired computing. Expertise in novel devices and microelectronics for quantum and physics-inspired computing will also be considered.

Collaborative research and development in chip design, verification methods, electronic design automation, and computer architecture is of particular interest. Relevant applications include, but are not limited to, AI/ML accelerator design, AI/ML for chip design and verification, domain-specific computing, heterogeneous architectures, hardware-algorithm co-design, quantum computing, and physics-inspired computing.

Artificial Intelligence

Expertise in the algorithms, theory, and applications of artificial intelligence and machine learning.

Collaboration in research and development in basic and applied research in artificial intelligence and machine learning. Theoretical areas of interest include, but are not limited to, optimization, neural networks, and reinforcement learning. Application areas of interest include, but are not limited to, robotics, foundation models, image / signal processing, optimization, and control.

Optics and Photonics

Expertise in the fields of optics, photonics, nanophotonics, quantum optics, optical materials, devices, instrumentation, and systems, including, but are not limited to, integrated and nano-scale photonics, metasurfaces, and plasmonics, micro/nanofabrication techniques, biophotonics and optical biosensing, optical imaging and spectroscopy, optical measurement and sensing science and instrumentation, quantum optics, optoelectronics and silicon photonics, optical communications and interconnects, and optical computing.

Collaboration in research and development of one or more of the above listed fields of expertise is of particular interest. Candidates whose work bridges optics and photonics with emerging areas such as quantum technologies or computing, packaging, neuroengineering, biomedical diagnostics, high power devices or systems, or AI-enabled systems are particularly encouraged to apply. Demonstrated ability in micro- and/or nanofabrication is desirable; candidates are expected to make extensive use of the Minnesota Nano Center (MNC) cleanroom facilities.

Responsibilities

Research

Engage in research, publication, and creation of scientific and engineering knowledge.

Develop research proposals for external funding opportunities and collaborate with researchers from academia, industry, and other organizations such as government labs on joint research projects.

Teaching

Develop and teach undergraduate and graduate courses in the Department of Electrical and Computer Engineering.

Advise students regarding specific coursework and broader academic or career goals.

Service

Provide service through participation in governance of the department and/or the University.

Contribute to outreach activities that support the Department of Electrical and Computer Engineering mission.

Contribute to the development of the profession, keep current with the field, and broaden knowledge and expertise.

Qualifications

Successful candidates will have outstanding academic and research records and are expected to establish a vigorous, funded research program, teach at the undergraduate and graduate levels, and be involved in service to the University and the profession. An earned doctorate or equivalent foreign degree in an appropriate discipline is required at the time of appointment. It is anticipated that the appointment will begin Fall 2027. Completion of PhD required.

The Department of Electrical and Computer Engineering is committed to fostering a community of research, teaching, and operational excellence that is culturally and academically diverse by attracting and retaining individuals with a variety of backgrounds, experiences, viewpoints, and identities.

Candidates who will actively contribute to this commitment and community - both in identity and professional vision - are particularly encouraged to apply.

About the Department

The Department of Electrical and Computer Engineering is one of the largest departments within the College of Science and Engineering at the University of Minnesota. Current research areas include Biomedical and Biological Computation Methods; Devices and Systems; Communications, Signal Processing, and Networking; Computer Engineering, VLSI, and Circuits; Fields, Photonics, and Magnetics; Micro and Nano Electronics and Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls.

To learn more about the Department of Electrical and Computer Engineering at the University of Minnesota, please visit the department website.