ASSOCIATE/FULL PROFESSOR POSITION IN COMPUTATIONAL CONDENSED MATTER PHYSICS
THE UNIVERSITY OF TENNESSEE
The Department of Physics and Astronomy in collaboration with the Department of Electrical Engineering and Computer Science at the University of Tennessee (UT) invites applications to fill a tenured faculty position in the College of Arts and Sciences at the associate/full Professor level. The successful candidate will hold a joint appointment in the Department of Physics and Astronomy (primary) and the Department of Electrical Engineering and Computer Science. The emphasis of this search is to strengthen our efforts in the development of new algorithms for computational condensed matter physics research within both departments. A further expansion in the area of quantum materials and quantum information is anticipated, which will be supported by junior-level hires following the successful completion of this search.
Candidates should have a PhD in Physics or related field, a strong research record in computational condensed matter physics, experience in the development of simulation algorithms for quantum materials, and background in computer science with an emphasis on novel approaches such as machine learning and other promising techniques. The candidate is also expected to actively participate in a cluster hire on quantum materials in progress at UT, provide leadership in developing a synergistic interdisciplinary quantum materials program, establish an externally funded research program, provide interdisciplinary training for graduate students and postdoctoral researchers, and to contribute to the teaching mission of the departments at both the undergraduate and graduate levels. While the preferred expertise should be in the broad area of algorithmic development for quantum many body physics, a strong interest in bridging the efforts of the above-mentioned departments is highly desirable.
The University of Tennessee, Knoxville, is Tennessee’s flagship state research institution, a campus of choice for outstanding undergraduates, and a premier graduate institution. The successful candidate will benefit greatly from available computational resources and by the proximity to unique research facilities at Oak Ridge National Laboratory, including the Joint Institutes for Computational Sciences, Advanced Materials, and Neutron Sciences.
The campus is located in one of the most beautiful areas of the country with easy access to miles of inland waterways, pristine state and national parks, diverse cultural opportunities, and a blend of convenient urban and rural living settings. Downtown Knoxville, adjacent to campus, is a thriving neighborhood filled with restaurants, shops, and indoor and outdoor entertainment venues, and is home to the Knoxville Symphony and Knoxville Opera, as well annual festivals like the Big Ears Music Festival, Jazz on the Square, and Shakespeare on the Square.
The University welcomes and honors people of all races, creeds, cultures, and sexual orientations, and values intellectual curiosity, pursuit of knowledge, and academic freedom and integrity. The Knoxville campus of the University of Tennessee is seeking candidates who have the ability to contribute in meaningful ways to the diversity and intercultural goals of the University. Applicants should send a CV, list of publications, a description of research and teaching experience, a proposed research program, and also arrange for at least three letters of reference to be submitted separately. All application materials, including the letters, should be submitted via email to https://apply.interfolio.com/61568. Only electronic applications will be considered and acceptable file formats are .pdf or .docx. We will start reviewing applications by June 1, 2019.
The University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment and admission without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, and parental status.
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