Careers at Virginia Tech

Postdoctoral Associate

Apply now Job no: 518221
Work type: Research Faculty
Senior management: College of Engineering
Department: Chemical Engineering
Location: Blacksburg Area

Job Description

A Data Management and Machine Learning postdoctoral associate position is available starting January 1, 2022, in the Department of Chemical Engineering, Virginia Tech (Blacksburg, VA, USA). The position will support GlycoMIP, an NSF Materials Innovation Platform (, tackling the scientific and technological bottlenecks in glycomaterials research.

This position is responsible for creating and maintaining data management and dissemination tools and software. The postdoctoral associate will also support the research activities of GlycoMIP. Specifically, the research will focus on the development and application of meso-scale and machine learning models to understand and design glycomaterials.
Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below) in their application packet. The postdoctoral associate appointment will initially be for one year and may be extended for an additional year, depending on performance of the individual, eligibility of renewal and available funding. The salary will be commensurate with the skills and experience of the individual.

Required Qualifications

- PhD in computational biology, computational soft-materials, or related field. 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 knowledge of programming/scripting in C++, Python or other state-of-the-art computer codes in Linux/Unix environments.
- Existing knowledge and/or enthusiasm to learn required data management skills.
- Experience in molecular simulations.
- Strong track record of scientific productivity and publications.
- Experience managing several projects simultaneously.
- Excellent communication skills.
- Demonstrated ability to work independently as well as in collaboration with others.

Preferred Qualifications

- Experience creating and handling data/databases.
- Track record of creating GitHub based repositories.
- Interest in machine learning and data science.
- Experience building websites.
- Knowledge of glycans/glycomaterials.


Appointment Type


Salary Information

Commensurate with experience

Review Date

November 23, 2021

Additional Information

The successful candidate will be required to have a criminal conviction check as well as documentation of COVID-19 vaccination or receive approval from the university for a vaccination exemption due to a medical condition or sincerely held religious belief.


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 (insert name) at (insert email address) during regular business hours at least 10 business days prior to the event.

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