Postdoctoral Associate
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Job no: 529000
Work type: Research Faculty
Senior management: College of Science
Department: Physics
Location: Blacksburg, Virginia
Categories: Research / Scientific
The Dua group in the Physics Department of Virginia Tech invites applications for postdoctoral associate positions in theoretical quantum information, topological condensed matter physics and the physics of learning. The successful candidate will have the opportunity to work in topics of quantum error correction such as self-correction and LDPC codes, topics of quantum many-body dynamics and problems in understanding the physics of learning in artificial systems.
The successful candidate will join a vibrant group of graduate students, postdoctoral scholars, and faculty in quantum information theory across multiple departments on campus, including Ed Barnes, Charles (ChunJun) Cao, Arpit Dua, Sophia Economou, Sumeet Khatri, Atul Mantri, Nick Mayhall, Kyungwha Park, Vito Scarola, Jamie Sikora, Tianci Zhou at Virginia Tech and at the Virginia Tech Center for Quantum Information Science and Engineering. There will be plenty of opportunities for collaboration with other members of the group and with some of the leading experimental and theory groups around the world.
Candidates should have performed research in Quantum Information Science in their PhD and should obtain the Ph.D. degree before the start date. The position will start in fall 2024 and will be for two years, with a possible extension for a third year. To apply, submit an online application that includes a research statement (no more than two pages), curriculum vitae with publication list, and a list of 3 professional references to jobs.vt.edu (529000) or by visiting the link below. Interested applicants can also contact Professor Arpit Dua, adua@vt.edu, for more information.
Review of applications will start immediately. For consideration, please apply by April 30th.
Candidates should have performed research in Quantum Information Science in their PhD and should obtain the Ph.D. degree before the start date.
Additional Information
To apply, submit an online application that includes a research statement (no more than two pages), curriculum vitae with publication list and a list of three professional references to jobs.vt.edu (requisition 529000).
The successful candidate will be required to have a criminal conviction check.
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 Jackie Woodyard at woodyaj@vt.edu during regular business hours at least 10 business days prior to the event.
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