Department of Computer Science and Engineering
Department of Bioproducts and Biosystems Engineering
University of Minnesota Twin Cities
A unique opportunity to be part of an exciting technological challenge. The Abbas Research Lab and Rui Research Lab at the University of Minnesota are looking for a talented postdoctoral research associate to join their teams starting Fall 2019 to work on the Phase I Egg-Tech Challenge, an international competition that may lead to Phase II Egg-Tech Prize focused on technology transfer and commercialization. The postdoc must have a PhD degree in Computer Science and Engineering, Electrical Engineering, Data Analytics or related fields. Experience in machine learning is required. Additional experience in machine vision or 2D/3D imaging systems is preferred but not required. The successful candidates will serve an initial one-year term, with a possible second-year renewal based on the qualifications and performance. Review of applications will begin on November 10, 2019, and will continue until the position is filled.
Major Areas of Accountability with %:
65% - Conducting research related to machine learning, deep learning, machine vision using 2D/3D imaging systems, data collection and analysis and the development of machine learning algorithms.
15% - Write research reports, manuscripts for publication and invention disclosures, and participate in seminars national and international conferences when needed.
10% - Contribute to research proposal writing.
5% - Provide training and mentorship to graduate and undergraduate students in the lab
5% - Participate in all activities or meetings organized by the lab, or departmental activities where postdoc participation is required.
- Ph.D. in Computer Science and Engineering, Electrical Engineering, Data Analytics, or related fields
- Excellent oral and written communications skills
- The combination of skills in electric engineering particularly 2D/3D imaging systems and machine learning is preferred.
To apply for the position, please send your resume to:
Prof. Abdennour Abbas
Prof. Rui Kuang
Alternatively, you can apply online. Go to: https://humanresources.umn.edu/content/find-job and search for Job ID 332905.