Job ID: 376460
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
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.