Open Rank Faculty Positions in Electrical and Computer Engineering

 

location: Charlottesville, VA

Full time

job requisition id: R0040873

 

The Charles L. Brown Department of Electrical and Computer Engineering (ECE) at the University of Virginia (UVA) seeks well-qualified applicants for multiple Open Rank (Assistant, Associate, or Professor) Tenured/Tenure-track Faculty positions with expertise in Computer Engineering (CpE) topics. The ECE Department plans to aggressively grow the Computer Engineering program at UVA with new faculty who can collaborate with our existing faculty in both research and educational programs to build on recent successes in and around ECE, CpE, and the School of Engineering and Applied Science (SEAS). We seek excellent candidates from any research areas who can complement and expand on ECE’s existing strengths in current focus areas such as Artificial Intelligence (AI) / Machine Learning (ML), Integrated Circuits (ICs) for the Internet of Things (IoT), and Terahertz / Optical circuits and systems. Example research areas of interest for applicants include, but are not limited to, Artificial Intelligence (AI) hardware, Analog and Mixed Signal circuits, Networking and Communications for low-level or next-generation wireless systems, Embedded Hardware / Software co-design, Heterogeneous Integrated Systems, Integrated Lasers, Cyber-Physical Systems (CPS), Mobile Computing, and technologies for Smart Cities and Smart Health.  

 

The primary responsibilities for these positions include research, teaching, and service to the department and the community at large. The appointment rank will be commensurate with experience. A doctoral degree in a relevant field is required. A commitment to scholarship, funded research, and teaching excellence is essential, as is evidence of an explicit commitment to diversity and advancing understanding and outcomes for underrepresented groups. Preferred candidates will have a broad background in research areas relevant to Computer Engineering and an interest in innovative undergraduate teaching and mentoring, laboratory instruction, and capstone engineering project design and supervision. UVA is proud to have a strong culture of collaboration and collegiality and is committed to creating collaborative and diverse environments necessary to solve the next generation of research challenges.

 

In UVA’s School of Engineering and Applied Science, the Computer Engineering program is jointly administered by the Department of Electrical and Computer Engineering and the Department of Computer Science (CS), facilitating close collaboration between the two departments, and students in Computer Engineering may be advised by faculty in either department. The departments are also founding members of the Link Lab, a multi-disciplinary center for research on Cyber-Physical Systems, the Internet of Things, and autonomous devices. We are therefore coordinating our faculty searches in these areas.  We are especially interested in candidates who have the potential to collaborate with colleagues in both departments.

 

If you are interested in the coordinated positions in CS, please read the CS ad and apply to the CS positions online here.  

 

Candidates should submit the following required documents:

Please note that multiple documents can be uploaded at the link referenced above.

 

Review of completed applications will begin December 1st, 2022. The positions will remain open until filled. The University will perform background checks on all new hires prior to employment. 

 

For questions about the position, please contact Dr. Ben Calhoun, Professor, at bcalhoun@virginia.edu.

 

For questions about the application process, please contact Richard K. Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu.

 

Senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available here. 

 

The University of Virginia is ranked as one of the premier public institutions in the United States and is located in Charlottesville, VA, a picturesque and vibrant small city perennially ranked as one of the best places to live in the U.S. More information about town, the school, faculty benefits, and other topics can be found at https://hr.virginia.edu/careers-uva/why-uva.

 

UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit https://dualcareer.virginia.edu/.

 

With one of the highest graduation rates of underrepresented undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. We welcome nominations of and applications from women, members of under-represented groups, veterans, and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university’s research and teaching mission.

 

 

COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.

 

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.