Working Title: Research Associate
Position Type: Professional Research Staff
Department: Department of Materials Science and Engineering
Posting Date: 01-24-2018
Professor Balachandran's research group in the Departments of Materials Science and Engineering and Mechanical and Aerospace Engineering at the University of Virginia is seeking to fill a Research Associate position to study the computational design of materials using density functional theory (DFT) methods. The successful candidate, under general oversight of the principal investigator, will develop novel approaches that integrate DFT with machine learning methods to accelerate the search and discovery of novel materials.
Candidates must have a PhD in materials science, physics, or a related field and be familiar with most or all of the following research areas: quantum materials, thin films and heterostructures, surfaces and interfaces, dielectrics and ferroelectrics, phonons and phonon-related properties, and machine learning. Proficiency in DFT codes such as Quantum ESPRESSO and VASP is essential. Experience in machine learning methods is not a mandatory requirement for applying to this position, but desirable. A familiarity with programming languages such as Python and R is desirable. Good oral and written communication skills, as well as attention to detail, are essential.
Additional responsibilities include: performing collaborative research and participating in mentoring students as well as helping to draft proposals, reports, and research papers.
The appointment will be for one year, renewable for an additional year pending satisfactory performance and available funding.
To apply, visit https://jobs.virginia.edu and search job posting number 0622507. Complete an online candidate profile and attach a cover letter indicating research interests, a detailed curriculum vitae, and contact information for three references.
The posting will remain open until filled. For additional information about the position, please contact Prof. Prasanna V. Balachandran at firstname.lastname@example.org. For additional information about the application process, please contact Jeannie Reese at email@example.com.
With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.
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