Virginia Mountain View

Postdoctoral Associate

  • 531476
  • Blacksburg, Virginia, United States
  • Mathematics
  • Research / Scientific
  • Research Faculty
  • Virginia Tech

Job Description

Applications are invited for multiple Postdoctoral Associate positions with the Department of Mathematics at Virginia Tech, Blacksburg, VA. The postdoctoral fellows will work under the supervision of Prof. Daniel Appelo and/or Prof. Yingda Cheng on computational methods and modeling. The research conducted will involve development of numerical methods, high dimensional scientific computing (tensor/sparse grid based), reduced order modeling, digital twins and scientific machine learning. The application areas involve kinetic systems in plasma, quantum computing, wave equations and control, etc.

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 one-year, renewable up to three years pending joint satisfaction.

Required Qualifications

We seek candidates with 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 in C/C++, Julia, Python.

● 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.

Appointment Type

Restricted

Salary Information

Commensurate with experience

Review Date

December 10, 2024

Additional Information

An online application is required. To apply, please visit www.jobs.vt.edu, select "Apply Now" and search by posting number 531476. 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 December 10, 2024. Each applicant should follow the instructions in the online application system to request that three references submitted letters of recommendation. This will prompt the system to request submission of recommendation letters. Reference providers should submit their letters by December 10, 2024. Additional information about the position requirements and responsibilities can be found at https://www.hr.vt.edu or https://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 endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

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, ethnicity or 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.

 

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

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