Open-Rank, Tenured/Tenure Track Position in Physics - Artificial Intelligence/Machine Learning
Georgia Institute of Technology·Atlanta, GA
- Type
- Full-time
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.
Job 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.
Minimum 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
Application Requirements
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 references' 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
An earned doctorate is required by the start of the appointment, and a background check must be completed prior to beginning employment.
Contact Information
For additional information about this job opening, please contact Dr. Dimitrios Psaltis at facultysearch_AI26@gatech.edu