Research Scientist

Charlottesville, VA
Oct 03, 2017
Institution Type
Four-Year Institution

Working Title: Research Scientist

Position Type: Professional Research Staff

Department: Department of Systems and Information Engineering

Location: Charlottesville

Posting Date: 09-18-2017

Posting Summary:
The Data Science Institute (DSI) and the School of Engineering and Applied Science (SEAS) at the University of Virginia (UVA) are seeking a Research Scientist to perform research on projects related to simulation optimization and to develop new methods and algorithms that find patterns in temporal and spatial data that can be used to improve health care planning and operations.

Candidates must have a PhD in Operations Research, Data Science, Systems Engineering, Computer Science or related disciplines.

The applicant must have expertise in simulation and modeling, preferably with agent-based simulation and discrete event simulation. The candidate should also have good understanding of both deterministic and stochastic optimization techniques. The candidate must be proficient in programming languages such as python and R and their associated simulation and optimization libraries and packages. The candidate must also have experience in the application of optimization techniques to discrete data.

In addition, the selected candidate should have excellent oral and written communication skills to present at professional meetings and to supervise undergraduate and graduate students on multiple projects along with the PI and faculty members in the DSI. The position is for three years with the possibility of renewal, based on satisfactory performance.

To apply, visit and search for posting 0621660. Complete a Candidate Profile online; attach a cover letter, curriculum vitae, and contact information for three professional references.

For additional information about the position, contact Donald E. Brown at

The University of Virginia is an affirmative action/equal opportunity employer committed to diversity, equity, and inclusiveness. Women, minorities, veterans, and persons with disabilities are encouraged to apply.

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