Control Robotics Identification and Signal Processing (CRISP) laboratory at Tufts is looking to fill a postdoctoral research position in the broad areas of machine learning, reinforcement learning, and optimization theory/methods. There is an opportunity to select a project that is theory oriented, experimental/software-focused, or a combination of both. Theoretical investigations include but are not limited to the following topics:
Experimental focus includes the following aspects:
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Successful candidate must
This is an excellent opportunity to build an independent research portfolio necessary for top academic or industrial positions. The contract duration is initially for one year with potential to extend. There is flexibility to travel, attend conferences, and give professional seminars/talks.
Submit a detailed CV, cover letter, research statement, teaching statement, two sample publications, and two reference letters via the Interfolio system For more information, please contact Usman Khan, Ph.D. Associate Professor, Electrical and Computer Engineering Google Scholar: https://scholar.google.com/citations?user=YiMlq2cAAAAJ&hl=en Email: khan@ece.tufts.edu Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally. Tufts University also prides itself on creating a diverse, equitable, and inclusive community. Current and prospective employees of the university are expected to have and continuously develop skill in, and disposition for, positively engaging with a diverse population of faculty, staff, and students. |
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