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Overview
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.
About the School of Physics at the Georgia Institute of Technology
The School of Physics at Georgia Tech currently has 52 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, theoretical physics, 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 a Postdoctoral Fellow position in Artificial Intelligence techniques to answer fundamental questions about our Universe. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.
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.

REQUIRED QUALIFICATIONS

A Ph.D. in fundamental physics or a relevant field, such as mathematics, statistics, astrophysics, or computer science.

ESSENTIAL SKILLS AND EXPERIENCE:

• Demonstrated ability to conduct creative, high-impact research
• Excellent written communication and presentation skills
• Strong interest in collaborative, interdisciplinary work

Prof. Aishik Ghosh’s interdisciplinary research group designs Artificial Intelligence (AI) techniques to answer fundamental questions about our Universe. These questions are challenging on several fronts: theoretical calculations, data analysis, and experiment design.

• On the mathematical side, the group designs neuro-symbolic techniques to automate theoretical physics calculations, integrating AI agents with physics software and high-performance computing (HPC). These include particle and gravitational physics.
• On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star properties from telescope data. The design of robust uncertainty quantification tools is a core component of this effort.
• On the experiment design side, the group develops simulation and optimization algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery.

Position overview:
The group collaborates closely with computer scientists, astrophysicists and gravitational / black hole physicists, particle physicists (primarily in collider and neutrino domains) and statisticians at Georgia Tech, Berkeley National Lab, CERN and across the world. For further details, see https://profaishikghosh.github.io/.

The successful candidate will work on one of these research themes and should have relevant expertise.

• For theory-focused projects, a strong background in group theory, quantum field theory (QFT), or gravity, as well as familiarity with relevant physics software, is recommended.
• For statistical-inference-focused or experiment-design-focused projects, a strong background in statistics and/or particle physics is recommended.

The postdoc will also have the option to work within an experiment collaboration.