Postdoctoral Associate
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Job no: 532928
Work type: Research Faculty
Senior management: College of Engineering
Department: Chemical Engineering
Location: Blacksburg, Virginia
Categories: Engineering, Research / Scientific
The research group led by Professor Hongliang Xin (xingroup.org) at Virginia Tech invites applications for a full-time Postdoctoral position. The successful candidate will play a critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale molecular dynamics simulations. This position emphasizes research in the modeling of complex chemical systems, where the candidate will integrate advanced simulation techniques with modern machine learning approaches to investigate reaction kinetics, thermodynamics, and material behavior.
We look forward to welcoming a dedicated researcher to our team at Virginia Tech, where you will contribute to pioneering research at the intersection of computational materials science and machine learning.
- Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, or a closely related field. The PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
- Possess a strong expertise in molecular dynamics simulations, as well as experience with
machine learning interatomic potentials.
- Possess a robust understanding of chemical kinetics and thermodynamics, and be proficient in data science techniques to analyze large-scale simulation data effectively.
- Ability to conduct independent research while collaborating successfully in a multidisciplinary team, with a record of scholarly publications that reflects excellence in the field.
Exempt: Not eligible for overtime
Starting at $61,008; commensurate with experience
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 Hongliang Xin at hxin@vt.edu during regular business hours at least 10 business days prior to the event.
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