Postdoctoral Research Associate - Scientific Machine Learning on Graphs

The Visual Intelligence Laboratory ('Baek Lab') in collaboration with the Connected Data Hub (‘Gates Lab’) at the University of Virginia School of Data Science is seeking a motivated and self-driven postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML)-topics including, but not limited to:

• Physics-informed neural networks (PINN) & neural operators

• Physics-aware convolutional neural networks (PARC)

• Meta-learning/transfer learning, small data learning

• Active learning, Bayesian deep learning, uncertainty quantification

• Graph neural networks

This position involves active participation in a well-funded research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes, dissemination of research through publications, and mentoring PhD students. The labs’ extensive collaborative networks, both nationally and internationally, span various disciplines, offering diverse applications across physics, mechanical engineering, materials sciences, network science, and more. This multidisciplinary and highly collaborative environment provides an exceptional opportunity for candidates to thrive and become sought-after experts in SciML, with numerous opportunities in academic, government, and industry positions.

The position is offered for one year, continuation is contingent upon funding and satisfactory performance.

The selected applicant will be required to complete a background check prior to their first day of employment per University policy.

Minimum Qualifications

• Effective written and verbal communication skills.

• PhD degree in computer science, data science, or related fields, to be completed by the start date of the appointment.

• Strong software development/engineering skills.

• Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability.

TO APPLY: Please visit https://jobs.virginia.edu and search for R0068839

Complete an application online and attach:

• Cover Letter detailing your experience, qualifications, and interest in this position

• Up-to-date CV

• A summary of your most significant research accomplishments (up to 500 words)

• Names and contact information of three references

Internal Applicants: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0068839"

***Please note that you MUST upload ALL documents into the CV/Resume box.

Applications that do not contain all of the required documents will not receive full consideration. ***

For questions about the application process please contact Daniel Strong, Senior Recruiter at das6zb@virginia.edu . This position will not sponsor for work visas. This position will remain open until filled. A background check will be conducted on all new hires prior to the start date. This is a term-limited restricted position.

Interested candidates are encouraged to contact Profs. Stephen Baek ( baek@virginia.edu ) or Alex Gates ( agates@virginia.edu ) for more info. The School of Data Science is committed to equal student employment opportunity regardless of race, ethnicity, color, national origin, religion, sex, gender identity, age, marital status, disability, or other factors that are irrelevant to the advertised position. If you have a special need for the interview, please do not hesitate to indicate required accommodations.

MINIMUM REQUIREMENTS

Education: Doctoral degree
Experience: None
Licensure: None

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.