Postdoctoral Research Associate - Zhang Group

Apply now Search #: 497398
Work type: Full-time
Location: Storrs Campus
Categories: Postdoctoral Research Associates


The Institute of Materials Science (IMS) at the University of Connecticut (UConn) is seeking to hire a Postdoctoral Research Associate to develop wearable nutrient sensors. The project will be carried out under the supervision of Dr. Yi Zhang (

Dr. Yi Zhang is currently an Assistant Professor in the Department of Biomedical Engineering at the Institute of Materials Science at the University of Connecticut. He obtained his Ph.D. degree in Chemical Engineering at the Georgia Institute of Technology and completed his postdoctoral research with Dr. John A. Rogers in the Querrey Simpson Institute for Bioelectronics and Materials Science and Engineering at Northwestern University. His current research group focuses on bioelectronics and biosensors for disease prevention, diagnosis, and treatment. The recent work from his group has been published in Science Advances, Nature Chemical Biology, Angew Chemie (2), Nano Letters, Analytical Chemistry, and ACS Sensors (2). He receives the 2015 Waldemar T.  Ziegler Award for Best Research Paper in Chemical Engineering at the Georgia Institute of Technology, the 2019 BMES Career Development Award, the 2023 NSF CAREER Award, and the 2023 UConn-AAUP Research Excellence Award-Early Career. 

The University of Connecticut is a public research institution located in Storrs, Connecticut established in 1881. The primary campus is located approximately a thirty-minute drive to Hartford, Connecticut, and a ninety-minute drive to Boston, Massachusetts. It is a flagship university ranked by the 2022 edition of U.S. News Best Colleges as 23rd (tie) for top public schools and 63rd (tie) for best national universities.


  • Design, fabrication, and testing of microfluidic devices using soft lithography, micromachining, and other microfabrication techniques.
  • Perform computational fluid dynamics (CFD) simulations to optimize device performance and predict flow behavior in microscale environments.
  • Analyze experimental data and communicate results through presentations, reports, and peer-reviewed publications.
  • Collaborate with interdisciplinary team members to advance the understanding and application of microfluidic technologies.


  • Ph.D. in a relevant field (e.g., mechanical engineering, biomedical engineering, materials science, or a related discipline).
  • Demonstrated experience with microfluidic device fabrication, including soft lithography and other microfabrication techniques.


  • Demonstrated experience working on biological experiments.
  • Proficiency in computational fluid dynamics (CFD) software and simulation tools (e.g., COMSOL, ANSYS Fluent, or similar).


The start date for this position is fall 2023 and the initial appointment will be for one year. This appointment is potentially renewable contingent upon external funding applications and performance. The position is full-time with an annual salary commensurate with experience based on NIH guidelines.


Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.


Please apply online at, Staff Positions, Search #497398 to upload a resume, cover letter, and contact information for three (3) professional references. Review of applications will begin immediately and continue until the position is filled.

All employees are subject to adherence to the State Code of Ethics which may be found at

All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.

The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce.  The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner.  This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all.  We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same.  All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The University of Connecticut is an AA/EEO Employer.

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