Looking for PhD students in MOSIS Lab [MOSIS.UConn.edu] in Electrical and Computer Engineering at University of Connecticut.
Responsibilities: Complete the requirements for the PhD degree in Electrical and Computer Engineering, perform research in imaging, perform theoretical and experimental investigations, publish papers, and work with a team of graduate students.
Financial support: Financial support will be provided to qualified students admitted into the program.
Qualifications: Undergraduate (BSc) and masters degrees in electrical engineering or applied physics. Experience with performing research is required. Applicants with technical publications are preferred. Applicants with high Grade Point Average are preferred. Applicants with masters degree are preferred. We are looking for knowledge and skills in optical imaging, image processing, computational imaging, image classification.
The University of Connecticut’s Department of Electrical and Computer Engineering (ECE) seeks applicants for the position of Computer Support Technician 1. Under the supervision of the ECE Department Head, the successful candidate will provide IT support to departmental faculty, staff, and graduate students. This includes basic helpdesk support, configuring or building new computers for specific tasks, and network management. This position will also ensure the supervision and safety of instructional labs and provide basic technical support for faculty and graduate research labs.
The Electrical and Computer Engineering (ECE) Department at the University of Connecticut (UConn) solicits applications for a tenure-track faculty position at the Assistant or Associate level. The position has an expected start date of August 23, 2025, but January 2026 start dates will also be considered. The successful candidate will advance education and research in the Electrical and Computer Engineering Department with a particular emphasis on computer engineering and semiconductor devices. Research topics of interest include quantum science and technology, quantum devices and circuits, quantum sensing, electronic design automation, circuit design, and quantum computing.