Career Center

The University of Tennessee has an opening for a Research Assistant Professor in the area of Artificial Intelligence for Quantum Materials. The successful candidate will work within a multidisciplinary research center aimed at taming the Complexity of Quantum Materials with Artificial Intelligence.

The research focus shall encompass computational modeling with the aid of machine learning, accelerated by center-wide experiment-theory feedback loops evaluating bulk/engineered quantum materials growth and spectroscopy probes, including neutron scattering, angle-resolved photoemission, and scanning tunneling microscopy. The successful candidate will work collaboratively with a team of faculty, postdoctoral associates, and students in Physics and Astronomy, Materials Science and Engineering, Chemistry, and Mathematics, Electrical Engineering and Computer Science, as well as scientists at the Oak Ridge National Laboratory.

Demonstrated research skills

●        Strong communication skills and a demonstrated ability to work in a collaborative team environment.

●        A clear path to independence as a researcher is desired though an 'on-ramp' through collaboration with more senior investigators is also encouraged.

●        Since the investigator is likely to participate in providing some level of instruction in accord with the UT-ORII mission, some teaching experience is desirable.

●        The commitment to mentoring junior researchers who will work with the Research Faculty is important and, if available, demonstrated experience is a plus.

●  PhD in Physics, Materials Science, Chemistry, Computer Science or other discipline related to development of Artificial Intelligence at time of apointment.

●  Post-doctoral experience with a strong publication record is desired.

●  Track record in funding and student mentoring is preferred.
●  Extensive research experience in Artificial Intelligence for Quantum Systems/Materials.   Additional research experience in areas that support the center's Artificial Intelligence mission is desired including, but not limited to:

-  Machine learning for experimental data processing, such as transport, neutron scattering, and scanning probe microscopy.

- Neural network simulation of quantum systems.

- Machine learning accelerated computational modeling.

- Material informatics and data-driven approaches for quantum materials discovery and device design, including machine learning methods.

Candidates with experience in more than one discipline, or interest in collaboration across these disciplines, are preferred. However, candidates who can define a unique research area are also encouraged to apply.

The position will be implemented via a 3-year, renewable contract. Salary will be determined commensurate with experience.  Benefits will be typical of those of exempt employees at the University of Tennessee.  Some funds are available to outfit computational resources and a recurring budget is also available.

Applicants should provide: (1) A CV, including a publication list; (2) A statement of research; (3) A minimum of three letters of recommendation. Interested applicants should send inquiries to Prof. Adrian Del Maestro at Adrian.DelMaestro@utk.edu.

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, or any other characteristic protected by federal or state law. In accordance with the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, the University of Tennessee affirmatively states that it does not discriminate on the basis of race, sex, or disability in its education programs and activities, and this policy extends to employment by the university. Inquiries and charges of violation of Title VI (race, color, and national origin), Title IX (sex), Section 504 (disability), the ADA (disability), the Age Discrimination in Employment Act (age), sexual orientation, or veteran status should be directed to the Office of Equity and Diversity, 1840 Melrose Avenue, Knoxville, TN 37996-3560, telephone 865-974-2498. Requests for accommodation of a disability should be directed to the ADA Coordinator at the Office of Equity and Diversity.

About University of Tennessee, Knoxville

Our primary mission is to move forward the frontiers of human knowledge and enrich and elevate the citizens of the state of Tennessee, the nation, and the world. As the preeminent research-based, land-grant university in the state, UT embodies the spirit of excellence in teaching, research, scholarship, creative activity, outreach, and engagement attained by the nation’s finest public research institutions.

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