Jobs:Job-01455
Apply before: 8 January 2024
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Posting:
Position: Postdoctoral Fellowship
Apply before: 8 January 2024
See attached file:
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Best,
Kun
Swenson College of Science & Engineering at the University of Minnesota Duluth
McKnight Postdoctoral Fellowships in Engineering and Computer Science
We have funding available to support multiple McKnight Teaching Postdoctoral Fellows within our engineering and computer science programs. This two-year fellowship also includes a research stipend for the Fellow to spend on supplies and travel. The McKnight Fellow will be expected to teach one course per semester and carry out research. The teaching assignment is open for any area of engineering or computer science. Importantly, upon identifying a Fellow and through discussions with them, the PI will provide a mentoring plan that describes the strategy for the Fellow to develop the research, teaching, and mentorship skills necessary for a successful career. Please contact the potential mentor directly to learn more, and see below about how to apply. For additional questions, reach out to Associate Dean Erin Sheets. Application review will begin January 8, 2024, and continue until the positions are filled.
Applications and Questions Related to the McKnight Postdoctoral Fellows Program
- Visit the University of Minnesota HR Job Search website at https://hr.umn.edu/Jobs/Find-Job and search for Job ID 352721. Application review will begin January 8, 2024, and continue until the positions are filled.
- Contact Dr. Erin Sheets with questions at edsheets@d.umn.edu or the potential faculty mentor directly.
Potential mentor
Kun Zhang. The postdoctoral fellow's research will resolve around Integrating data-driven analytics and urban hydrologic & hydraulic models to elucidate hydrologic and biogeochemical mechanisms, make predictions, and optimize the design and spatial placement of stormwater infrastructure in urban watersheds. The research project will include building urban hydrologic models in Duluth, MN and/or Milwaukee, WI, comparing them with data-driven models (such as machine learning models), and utilizing them for decision making through optimization. My website is: https://sites.google.com/d.umn.edu/kkhydro/home.
Kun Zhang, Ph.D. (He/Him/His); Assistant Professor
UNIVERSITY OF MINNESOTA-DULUTH
DEPT. OF CIVIL ENGINEERING
258 Swenson Civil Engineering, 1405 University Dr, Duluth, MN 55812
