I am currently looking to fill two fully-funded PhD positions in my lab at the University of Vermont: one is in the area of data-driven control of complex dynamical systems, and the other is in control and co-optimization of hybrid energy systems with a focus on hydrogen fuel cells and electrolyzers. The former is funded by the prestigious NSF CAREER program and is more theoretical; the latter is funded by the US Department of Energy and is more on the applied side. To apply, please send your CV, transcripts, and your language scores (see below) to hossareh@uvm.edu.
Recommended background: an applicant should clearly demonstrate effective communication skills (written/verbal/visual) and experience with mathematical analysis (e.g., numerical methods, dynamics, learning) and control systems (e.g., classical and modern control, predictive control, data-driven control). An MS in EE or a related field is preferred, but not strictly required. For international applicants whose language of instruction was not officially English, your IELTS/TOEFL/DuoLingo score must be higher than or equal to 7.0/100/120 to qualify. Please include your language score in your email.
Note: there are other PhD opportunities in EE as well (contact for those positions: Mads Almassalkhi and Amritanshu Pandey)
About UVM: The University of Vermont (UVM), founded in 1791, is a public land-grant university and is the state of Vermont’s flagship research university with an enrollment of about 12,000 students. The campus is located in the beautiful Burlington, Vermont, about 90 miles south of Montreal in Canada. Burlington is often rated as the best small city in America for quality of living, and features year-round outdoor recreation and cultural events. UVM is ranked 85th by the US National Science Foundation among the public research universities in the United States.
Hamid R. Ossareh
Associate Professor
University of Vermont
