Job Description

Applications are invited for one Postdoctoral Associate position with the Department of Mathematics at Virginia Tech, Blacksburg, VA. The postdoctoral fellow will work under the supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order models and machine learning techniques for kinetic equations arising from plasma and neutron transport.

The position will be based at Virginia Tech's campus in Blacksburg, VA. The postdoc will have a teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance.

Required Qualifications

A PhD in Mathematics or an equivalent area, and with a strong background in numerical analysis and scientific computing. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
Strong background in the development and/or application of numerical methods for partial differential equations.
Experience in implementation of numerical methods.
Interest and experience in at least one application from the areas mentioned above.
Ability to work with others in an interdisciplinary environment.

Preferred Qualifications

Experience with the scientific computing library and parallel programming.
Experience with writing scientific articles.
Experience with writing scientific machine learning.

Overtime Status: Exempt: Not eligible for overtime

Appointment Type: Restricted

Salary Information: Commensurate with experience

Hours per week: 40 hours - exempt position

Review Date: December 1, 2025

Additional Information: The successful candidate will be required to have a criminal conviction check.

Virginia Tech

Blacksburg, VA, USA

"Postdoctoral Associate"

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