George Mason University, Department of Mathematical Sciences

Position ID: GMU-PRF [#15861]
Position Title: Postdoctoral Research Fellow
Position Type: Postdoctoral
Position Location: Fairfax, Virginia 22030, United States [map]
Subject Area: Mathematical Sciences
Application Deadline: * (posted 2020/03/31, listed until 2020/06/29)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications is accepted. ***

The George Mason University, Department of Mathematical Sciences and the Center for Mathematics and Artificial Intelligence (CMAI) in the College of Science (COS), located in the vibrant Washington, D.C., area, invites well-qualified candidates to apply for a twelve-month Postdoctoral Research Fellow position starting the August 2020. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment.

The College of Science is the largest research unit within the university constituting of approximately 30 percent of the total research portfolio. With a mission to produce science that enhances society, creates clear career pathways for Mason students, and enhances economic development in the region and the nation, COS generated approximately 45 percent of the university’s proposals in fiscal year 2013. COS undertakes pioneering research endeavors that offer insight and solutions to the complex issues that challenge today’s world, and the college is committed to growing and supporting the innovation research endeavors of our faculty.

Responsibilities: This position entails working on an Air Force Office of Scientific Research (AFOSR)-funded project entitled, “Structure Exploiting Trust Regions for Bilevel and Risk-Averse Optimization,” directed by Dr. Harbir Antil. The project is broad in scope and is aimed at algorithms for optimization problems governed by large-scale physical models given by partial differential equations (PDEs), optimization under uncertainty, fractional PDEs, inverse problems, dimensionality reduction, deep learning. More details are available here:

The incumbent will teach one course a year. The initial appointment will be for one year, with the possibility of yearly extensions depending on the performance and funding.

Qualifications: The successful candidate must have a Ph.D. in mathematics or a related area, with expertise in optimization, numerical analysis, and PDE modeling and computations.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

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