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George Washington University

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Postdoctoral Associate in Stochastic and Robust Optimization at George Washington University George Washington University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

George Washington University

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Keywords

Computer Science
Decision Science
Mathematics
Operations Research
Industrial Engineering
Python Programming
Salud Pública
Resiliency
Optimisation
Statistics
Programming Language

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About this position

George Washington University’s School of Business, Department of Decision Sciences, is recruiting a Postdoctoral Associate in stochastic optimization and robust optimization. The position focuses on developing new methods and algorithms for problems in resilience, critical infrastructure, wildfire resilience, network design, and emergency healthcare systems.

The role is based in Washington, D.C., United States, and is intended for a researcher with a completed PhD in a relevant field. The successful candidate should have a strong background in mathematical optimization, scientific programming experience in Python or C++, and the ability to conduct independent research and publish in international scientific journals. Experience with AMPL and Matlab is considered an asset.

The appointment is for 1 year, renewable according to university policies, with a salary of USD 62,232–65,000 per year. The post is open until filled, so applicants should apply as soon as possible.

Interested candidates should use the official George Washington University job posting to submit their application.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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