Research Associate in Mechanical and Aerospace Engineering
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2019-09-16
The Intelligent System Group and the Flow Simulation Research Group at the Department of Mechanical and Aerospace Engineering, University of Virginia is seeking a highly motivated full-time postdoctoral associate.
The individual should have the aptitude for conducting cutting-edge research in a multi-disciplinary area of applying adaptive control and computational modeling and simulation to complicated engineering systems such as smart manufacturing system, smart health, multi-robot automated system. Strong analytical skills are required with prior experience in optimal control, distributed control, and nonlinear control research. The experience in applying AI/ machine learning to the aforementioned systems by combining data-driven approach and physical understanding is highly preferred. The candidate will work in collaboration with researchers focusing on cyber physical system in a co-robot environment (as currently applied to smart manufacturing), flow physics in bio-inspired propulsion and experts in medical and health applications. The candidate is expected to engage in developing framework and methodologies in model-based control with learning capabilities as applied to, for example, smart health or multi-robot automated systems, and to extend the experience to other areas. Other duties include supervising graduate students, publishing journal papers, and developing proposals.
QUALIFICATION REQUIREMENTS: Candidates should hold a PhD degree in Mechanical Engineering or equivalent discipline by the start date. They should also have a strong background in more than one of the following: adaptive control, distributed control, computational modeling of complicated engineering systems, machine learning, high-performance computing, strong code development skills.
APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs attach a CV research interests (one page), and three most recent journal publications, and contact information for three references. CV should include a description of relevant experience, publications and contact information of at least three professional references.
APPLICATION DEADLINE: Review of applications will begin on September 30, 2019, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment. This position will also require an Education Verification (FSAKA).
This is a one-year appointment; however, the appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance.
For questions regarding this position, please contact Cindy Chang, Associate Professor, at firstname.lastname@example.org or Haibo Dong, Associate Professor, at email@example.com
For questions about the application process, please contact Richard Haverstrom, Faculty Search Advisor, at rkh6j@Virginia.edu.