Research Associate in Electrical and Computer Engineering

Scholarshipdb; Charlottesville (VA); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a Research Associate to contribute to groundbreaking projects in quantum technology. This role offers the opportunity to engage in innovative research focused on quantum squeezed light generation and detection, involving advanced techniques in cleanroom fabrication and numerical simulation. Ideal candidates will have a PhD in Electrical Engineering or related fields, with a strong background in integrated photonic designs. Join a dynamic team and make a significant impact in the photonics community while enjoying a collaborative environment that values diversity and excellence.

Qualifications

• PhD in relevant fields required by start date.
• Experience in cleanroom fabrication and photonic designs is essential.

Responsibilities

• Participate in quantum squeezed light generation and detection project.
• Conduct numerical simulation and integrated photonic measurements.

Skills

Cleanroom fabrication

Numerical simulation

Integrated photonic measurements

Integrated photonic designs

Communication skills

Education

PhD in Electrical Engineering

PhD in Physics

PhD in Applied Physics

Job description

Research Associate in Electrical and Computer Engineering

The Department of Electrical and Computer Engineering at the University of Virginia is seeking a Research Associate (Postdoctoral level) to work under the supervision of Dr. Xu Yi, Associate Professor of Electrical and Computer Engineering.

The successful candidate will participate in a project accelerating the development of integration in quantum squeezed light generation and detection. The position entails skills of cleanroom fabrication, numerical simulation of integrated photonic components, and integrated photonic measurements.

QUALIFICATIONS: Candidates must have a PhD in Electrical Engineering, or Physics, or Applied Physics, or a related field, by the start date. Experience in cleanroom fabrication, integrated photonic designs and measurements is required. Prior experience with integrated photodiodes is preferred. Previous experience in communicating findings through papers and conference presentations in the photonics community is preferred.

APPLICATION PROCEDURE: Apply at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter indicating research interests, a detailed curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the CV box. Make sure to upload all the documents to complete your application.

APPLICATION DEADLINE: Review of applications will begin on June 24th, 2024 and the posting will remain open until filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment that may be renewed for up to two additional one-year terms, contingent upon available funding and satisfactory performance.

For questions regarding this position, please contact Professor Xu Yi at [e-mail].

For questions regarding the application process, contact Rich Haverstrom, Faculty Search Advisor, at [e-mail].

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

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.