Apply now Back to search results Job no:527148
Work type:Research Faculty
Senior management: College of Science
Department: Mathematics
Location:Blacksburg, Virginia
Categories:Instructional / Teaching Faculty, Research / Scientific

Job Description

Applications are invited for two Postdoctoral Associate positions with the Department of Mathematics at Virginia Tech, Blacksburg, VA. The postdoctoral fellows will work under the supervision of Prof. Yingda Cheng on modeling and numerical methods for high dimensional kinetic equations. One of the positions will be funded by the DOE MMICC center for Hierarchical and Robust Modeling of Non-Equilibrium Transport (https://charmnet-mmicc.github.io/). The research conducted will involve development of sparse grid, tensor based numerical methods for high dimensional PDEs, data driven reduced order models for transport equations and scientific machine learning.

The positions will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a teaching load of 1 to 2 classes per year. The positions are for two years, and can be renewed on the third year pending satisfactory performance.

Required Qualifications

We seek candidates with a PhD in Mathematics or an equivalent area, and with a strong background in scientific computing and data driven modeling and computation. 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 finite element methods for partial differential equations.
● Strong background in numerical implementations of PDE solvers.
● Highly experienced in programming in the C/C++, Python.
● Familiar with dimension reduction techniques.
● Ability to work with others in an interdisciplinary environment.

Preferred Qualifications

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

Appointment Type

Restricted

Salary Information

Commensurate with experience

Review Date

January 2, 2024

Additional Information

An online application is required. To apply, please visit www.jobs.vt.edu,  select "Apply Now" and search by posting number 527148. For full consideration submit a cover letter, a CV, a research statement, and a teaching statement as part of the online application no later than January 2, 2024. Each applicant should follow the instructions in the online application system to request that three references submit letters of recommendation. This will prompt the system to request submission of recommendation letters. Reference providers should submit their letters by January 2, 2024. Additional information about position requirements and responsibilities can be found at https://hr.vt.edu  or https://www.math.vt.edu . The faculty handbook (available at https://faculty.vt.edu/faculty-handbook.html ) provides an overview of faculty appointments. 

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

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College . The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Sarah McDearis at sworl9@vt.edu during regular business hours at least 10 business days prior to the event.