Open Rank in Mathematics in the ScAI Fall 2025
The University of Tennessee, Knoxville

Job Info

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Open Rank in Mathematics in the ScAI Fall 2025

Location:
Knoxville Tennessee
Open Date:
Jul 1, 2024
Description:

The Mathematics Department at the University of Tennessee Knoxville (UTK) is searching for an Open Rank faculty member to strengthen the University's standing as a global leader in research focused on ScAI. This position will begin August 1, 2025.There will also be a unique opportunity for a joint appointment in the Chemistry, Industrial Systems Engineering, Mechanical Aerospace and Biomedical Engineering, or Physics and Astronomy departments. The review of applications will begin on 10/01/24, and continue until the position is filled.  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. Please contact Vasileios Maroulas at vmaroula@utk.edu with questions regarding this position. 

 The ScAI cluster is part of the "It takes a Volunteer" cluster hiring initiative at the University of Tennessee Knoxville https://provost.utk.edu/it-takes-a-volunteer-2023-2025-cluster-hiring-initiative/ .The ScAI Cluster will be a team of excellence in the science, mathematics, and optimization of AI for advancing scientific and engineering applications with a direct impact on additive manufacturing and hypersonics defense systems. As part of this institutional priority initiative, new hires will join a dynamic core group of scientific collaborators with complementary experience and a shared interest in building a national reputation for excellence and innovation in ScAI. In addition, members of the  cluster are expected to work together to grow the University's reputation in ScAI through shared grant proposals, publications, and innovative new curricular programming.

The new hires will also support and contribute to the AI TENNessee Initiative. The AI TENNessee Initiative is a new transdisciplinary research and education initiative focused on the State of Tennessee's unique AI strengths and opportunities for innovation. Led by the University of Tennessee, Knoxville, this initiative is engaging with academic, industrial, and community partners across Tennessee to leverage the benefits of AI across all disciplines and economic sectors in areas such as AI for science, smart manufacturing, climate-smart agriculture and forestry, precision health and environment, and future mobility. Our goal is to improve lives through AI research and education. The mission of the AI Tennessee initiative is to: 1) advance cutting-edge fundamental and transdisciplinary AI research and creative activity across all disciplines to address important challenges; 2) expand the number of Tennessee students developing skills and core competencies in AI across many disciplines to prepare them for AI-enabled jobs of today and the future; and 3) partner with industry and institutions statewide to  position Tennessee as a national and global leader in the data-intensive knowledge economy.  

 The University of Tennessee Knoxville is the flagship campus of the UT system, land-grant university, and a public Carnegie Research 1 institution. As an 1862 land-grant university and as Volunteers, serving our state and nation is key to our mission. UT enrolls approximately 36,000 students at its Knoxville campus. Under a united leadership across the UT system, university campuses, and colleges, UTK is undergoing transformational changes focused on solving some of the most audacious, pressing problems our country and world face today.

 The city of Knoxville is a hidden gem surrounded by eight gorgeous lakes, with a beautiful and walkable downtown, a diverse music scene including internationally recognized festivals, active neighborhoods, unique restaurants, and a robust offering of diverse cultural and outdoor activities. UTK is located within easy driving distance to the Great Smoky Mountains, Atlanta, Nashville, Asheville, Charlotte, Louisville, and Cincinnati. It is only a day's drive to Memphis, Chicago, and Washington, D.C. Knoxville and the surrounding counties have a population of more than 850,000 people.

 

Qualifications:

Minimum Qualifications

 A PhD or equivalent degree in mathematics, applied mathematics, or statistics is required at the time of application.

  Preferred Qualifications:

 For an appointment at the Full Professor rank: ·   Internationally recognized contributions and leadership in the Mathematics of Machine Learning, especially in the physics informed deep learning.·   Demonstrated exceptionally strong research publication record. ·   Consistent track record for obtaining funding for the research programs, appropriate for the field of study. ·   Leadership as a PI or co-PI, or participation as a Senior Personnel in interdisciplinary teams supported by an external source. ·   Effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students, as well as postdocs.

  For an appointment at the Associate Professor rank:

 ·   Recognized contributions and potential for leadership in the Mathematics of Machine Learning, especially in the physics informed deep learning.·   Demonstrated highly strong research publication record. ·   Potential for consistent track record for obtaining funding for the research programs, appropriate for the field of study. ·   Potential for leadership as a PI or co-PI, or participation as a Senior Personnel in interdisciplinary teams supported by an external source. ·   Effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students, as well as postdocs.

  For an appointment at the Assistant Professor rank:

 ·   Contributions in the Mathematics of Machine Learning, especially in the physics informed deep learning.

·   Demonstrated strong research publication record. ·   Potential for obtaining funding for the research programs, appropriate for the field of study. Potential for participation as a PI/co-PI/Senior Personnel in interdisciplinary teams supported by an external source. ·   Effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students.
Application Instructions:
Applicants who wish to be considered at the Full Professor rank may submit the following materials to  http://apply.interfolio.com/147374:·   Cover letter addressing o   why this position is of interest.  o   what their vision for this position is.o   what strategy they will follow to lead these endeavors.  ·   Curriculum vitae that includes research funding (if available) and publications, research mentees at the undergraduate, graduate or postdoc levels. teaching experiences, honors, awards, employment, and education.·   A publication list that states o   their 5 best articles, o   all published manuscripts with their mentees as coauthors, and precisely state what level their mentees/coauthors were. ·   A list of funding record, including the total dollar amount per grant/collaborative agreement and the direct dollar amount allocated to the applicant's research group.·   A statement of professional goals highlighting i) teaching and mentoring, ii) research both disciplinary and transdisciplinary, as well as underline research leadership initiatives, and iii) collaboration and alignment with the University of Tennessee's ScAI cluster. In addition, candidates may describe how they would help promote students' access to and inclusion in their teaching and research.·   Contact information for three to five references. . Reference letters will be requested for applicants invited for an interview.Applicants who wish to be considered at the Associate Professor rank may submit the following materials to http://apply.interfolio.com/147374:·   Cover letter addressing o   why this position is of interest.  o   what their vision for this position is.o   what strategy they will follow to achieve these endeavors.  ·   Curriculum vitae that includes research funding (if available) and publications, research mentees at the undergraduate, graduate or postdoc levels. teaching experiences, honors, awards, employment, and education.·   A publication list that states o   their 5 best articles, o   all manuscripts with their mentees as coauthors, and precisely state what level their mentees/coauthors were. ·   A list of funding record, including the total dollar amount per grant/collaborative agreement and the direct dollar amount allocated to the applicant's research group.·   A statement of professional goals highlighting i) teaching and mentoring, ii) research, including both disciplinary and transdisciplinary, and iii) collaboration and alignment with the University of Tennessee's ScAI cluster. In addition, candidates may describe how they would help promote students' access to and inclusion in their teaching and research.·   Contact information for three to five references. . Reference letters will be requested for applicants invited for an interview.

 

Applicants who wish to be considered at the Assistant Professor rank may submit the following materials to http://apply.interfolio.com/147374: ·   A cover letter to address why this position is of interest and their vision for this position.·   Curriculum vitae that includes research funding (if available) and publications, teaching experiences, honors, awards, employment, and education.·   A statement of professional goals highlighting (i) teaching and mentoring; (ii) research, including both disciplinary and transdisciplinary; and (iii) collaboration and alignment with the University of Tennessee's ScAI cluster. In addition, candidates may describe how they would help promote students' access to and inclusion in their teaching and research.·   Contact information for three to five references. Reference letters will be requested for applicants invited for an interview.
Equal Employment Opportunity Statement:

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. Requests for accommodations of a disability should be directed to the Office of Equal Opportunity and Accessibility, 1840 Melrose Avenue Knoxville, Tennessee 37996-3560 or eoa@utk.edu or (865)974-2498. 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 Investigation & Resolution 216 Business Incubator Building 2450 EJ. Chapman Drive Knoxville, Tennessee 37996 or (865)974-0717 or investigations@utk.edu.

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