Job Description

Dr. Debswapna Bhattacharya's research group in the Department of Computer Science at Virginia Tech (https://people.cs.vt.edu/dbhattacharya/) seeks to recruit multiple postdoctoral associates to develop novel deep learning and data-driven methods and algorithms for computational modeling of molecular structures.

Postdoctoral associates are eligible for up to two years of support with competitive salary and benefits package, generously supported by the National Institutes of Health (NIH) Maximizing Investigator's Research Award. All reappointments are dependent upon a satisfactory progress review and continued funding.

The Bhattacharya group works at the intersection of computational biology and applied machine learning with a particular focus on AI-powered molecular modeling. The group is also interested in applications of data science in bioinformatics. The recent projects in the group are focused on developing data-driven machine learning and optimization algorithms to elucidate complex relationships between macromolecular sequences, structures, functions, interactions, and pathways.

The specific research project will focus on advanced deep learning and data-driven method development for computational modeling and refinement of biological macromolecules. Responsibilities of the position include conducting research independently as well as in a team, communicating research with the PI and collaborators, writing manuscripts and grants, and presenting at national and international conferences.

Virginia Tech's main campus is located in Blacksburg, VA, in an area consistently ranked among the country's best places to live. In addition, our program in the Washington, D.C., area offers unique proximity to government and industry partners and is also expanding rapidly, with Virginia Tech's exciting new Innovation Campus in Alexandria, VA, slated to open in 2024. Note that this specific position is designated for the Blacksburg campus.

Required Qualifications

- Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. PhD must be awarded no more than three years prior to the effective date of appointment with a minimum of two years eligibility remaining.
- Substantial programming experience in C/C++, Perl/Python or Java.
- Strong communication skills.

Preferred Qualifications

- Published research experience in computational biology and/or molecular modeling and/or machine learning.
- Familiarity with open-source deep learning libraries and/or bioinformatics databases and tools.
- Ability to effectively work both independently and in a team.

Appointment Type

Restricted

Salary Information

$54,840 - $65,000

Review Date

2/20/2023

Additional Information

Required Application Materials: Applicants must apply online at jobs.vt.edu (Job no: 524544): application materials include a cover letter; curriculum vitae; research statement; and contact information for at least three references. Questions regarding these positions should be directed to Dr. Debswapna Bhattacharya at dbhattacharya@vt.edu).

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 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 , a , a college, , and . The university has a significant presence across Virginia, including the in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous and . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.