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Open-Rank, Tenured/Tenure-Track position in Physics - Artificial Intelligence/Machine Learning

Georgia Tech
United States, Georgia, Atlanta
Aug 14, 2026
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Job ID
302261
Location
Atlanta, Georgia
Full/Part Time
Full-Time
Regular/Temporary
Regular
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About Us

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Location

Atlanta, Georgia

Department Information

About the School of Physics at the Georgia Institute of Technology

The School of Physics at Georgia Tech currently has 55 academic faculty and its graduate program is ranked 21st in the nation by US News and World Report. The School has a broad research program with strengths in astrophysics, condensed matter, atomic, molecular and optical physics, physics of living systems, nonlinear science and soft matter physics. The School is also a key player in interdisciplinary initiatives established within Georgia Tech, such as quantum systems, neuroscience, microbial dynamics, planetary sciences, and data science/machine learning. Its diverse student body comprises more than 150 graduate students (Ph.D and Masters) and over 270 undergraduate majors.

Job Summary

The School of Physics ( https://physics.gatech.edu/) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for an open-rank tenured/tenure-track faculty position at the interface between machine learning and physics. Applicants will be considered at all ranks. We anticipate hiring faculty working on advancing machine learning methodology as applied to quantum science, astrophysics, physics of living systems, nonlinear science, soft matter physics or other related areas. The faculty will be part of an initiative to catalyze machine-learning-driven research in the School of Physics and will benefit from substantial expertise and resources in artificial intelligence and machine learning that already exist in the Colleges of Sciences, Engineering, and Computing. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students. Appointments at senior ranks will be considered for candidates with established and internationally recognized research programs.

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values. These values include academic excellence, freedom of expression and inquiry, innovation, collaboration, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

Responsibilities

Perform groundbreaking research at the interface between machine learning and quantum science, astrophysics, physics of living systems, nonlinear science, soft matter physics or other related areas.

Tenure-track academic faculty members maintain research portfolios that are supported by grants and contracts with federal and state agencies, private foundations, and/or industry.

Demonstrate an exceptional commitment to the teaching and mentoring of students at all levels.

Contribute to the governance and operation of the School of Physics and the Institute.

Communicate scientific advances through publication and outreach to the scientific community and public at large.

Required Qualifications

Candidate is expected to have received a doctorate in Physics or a related discipline.

Candidate is expected to have a record of success in advancing methodology and applications of machine learning in Physics.

Appointments at senior ranks will be considered for candidates with established and internationally recognized research programs.

Student Success Criteria

The ability to teach and mentor a multifaceted student body

The ability to promote a welcoming educational/work environment

The ability to mentor and assist students interested in pursuing graduate education

The ability to design and teach curricula that are responsive to all students

The ability to adopt teaching strategies that support the learning and success of all students

The ability to engage students in experiential learning activities and pedagogy that support student success

The ability to engage in high-impact practices that support deep learning for student success

The ability to apply expertise in teaching, scholarship, and/or service to advance student success

Required Documents to Attach

Applicants should submit the following materials: (1) a letter of application, (2) curriculum vitae including a complete list of publications, (3) a statement of research interests (up to 3 pages), and (4) a description of teaching interests, as well as their advising/mentoring philosophy. In addition, applicants should arrange for at least three confidential reference letters to be submitted to facultysearch_AI26@gatech.edu

The applicants should also include the reference names and contact information in the application packet.

Application materials should be submitted as .PDF files only via CAREERS Job ID 302261 at https://hr.gatech.edu/careers

Complete applications received by November 15, 2026, will receive full consideration, but the search will continue until the position is filled.

Contact Information

For additional information about this job opening, please contact Dr. Dimitrios Psaltis at facultysearch_AI26@gatech.edu

USG Core Values

USG Core Values Statement

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

Background Check

A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest

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