University of Virginia Hiring for Research Associate in Mechanical and Aerospace Engineering at Charlottesville, VA Full Time

The Department of Mechanical and Aerospace Engineering within the School of Engineering and Applied Science (SEAS) at the University of Virginia is currently seeking exceptionally qualified candidates for the position of Post-Doctoral Research Associate. This role will be situated at the Intelligent Systems Lab and offers a unique opportunity for individuals with a strong background to engage in cutting-edge research.

Position Focus: The candidate will lead and assist innovative research in smart manufacturing systems and multi-robot automated systems. This interdisciplinary role will focus on Modeling, Decision-Making, and Control to enhance energy efficiency and sustainability of these systems. Responsibilities include:

• Develop and implement advanced frameworks and methodologies for model-based and model-free control with learning capabilities.
• Apply these approaches to improve energy efficiency management in manufacturing systems, optimize multi-robot automated systems, and enhance flexible production systems.
• Mentor and supervise graduate students in their research endeavors.
• Active participation in research team meetings and collaborative discussions.
• Contribute to the publication of research findings in reputable journals.
• Contribute to proposal development for further research initiatives.

QUALIFICATIONS: A doctoral degree in one of Mechanical Engineering, Electrical Engineering, Industrial Engineering or equivalent disciplines is required by the start date. Excellent written and verbal communication skills, along with exceptional interpersonal skills. Proficiency in code development and analytical skills. Strong expertise in adaptive/optimal control and AI/Machine Learning, specifically in the domain of Reinforcement Learning. Skill in modeling and control for complex engineering systems, particularly in the context of manufacturing systems. Preferred experience in working with control systems and applying AI/machine learning to manufacturing systems, through the integration of data-driven approaches and fundamental physical insights.

APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a curriculum vitae, research interests (one page) and three most recent journal publications, and contact information for three references. Please note that multiple documents can be uploaded in the CV box.

APPLICATION DEADLINE: Review of applications will begin on September 20, 2023, and the posting will remain open until filled. The University will perform background checks on all new hires prior to employment.

This position begins in or after January 2024, and individuals are expected to begin work no later than Spring 2024. This is a one-year appointment with a high possibility of renewal for additional years.

For questions regarding this position, please contact Qing (Cindy) Chang, Professor, at [email protected].

For questions regarding the application process, contact Rich Haverstrom, HR Recruiter, at [email protected].

Salary and Benefit: For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person’s perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.