Georgia Institute of Technology
Postdoctoral Fellow - AI Techniques - Ghosh Lab
Georgia Institute of Technology, Atlanta, Georgia, United States, 30383
Overview
The School of Physics at Georgia Tech invites applications for a Postdoctoral Fellow position in Artificial Intelligence techniques to answer fundamental questions about the Universe. The successful candidate is expected to contribute to teaching and mentoring students. Location: Atlanta, GA. Responsibilities
Work in Prof. Aishik Ghosh's interdisciplinary research group to design AI techniques for theoretical physics questions, data analysis, and experiment design. These efforts include neuro-symbolic methods to automate theoretical physics calculations, and the integration of AI with physics software and high-performance computing (HPC) in areas such as particle and gravitational physics. Develop novel statistical methods for particle physics and astrophysics that can infer theory parameters directly from raw, high-dimensional data from experiments or observatories, including Higgs boson properties at the Large Hadron Collider and neutron star properties from telescope data; design robust uncertainty quantification tools. Develop simulation and optimization algorithms for next-generation particle physics experiments and explore other ways AI can accelerate scientific discovery. Collaborate with computer scientists, astrophysicists, gravitational/black hole physicists, particle physicists, and statisticians at Georgia Tech, Berkeley National Lab, CERN, and worldwide. See profaishikghosh.github.io for details. 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, plus familiarity with relevant physics software, is recommended. For statistical-inference or experiment-design projects, a strong background in statistics and/or particle physics is recommended. The postdoc will also have the option to participate in an experiment collaboration. Required Qualifications
A Ph.D. in fundamental physics or a relevant field, such as mathematics, statistics, astrophysics, or computer science. Demonstrated ability to conduct creative, high-impact research. Excellent written communication and presentation skills. Strong interest in collaborative, interdisciplinary work. Preferred Qualifications
Student success criteria: ability to promote a welcoming educational/work environment; mentor and assist students pursuing graduate education; engage students in experiential learning activities and pedagogy that support student success; engage in high-impact practices that support deep learning for student success. Required Documents To Attach
Curriculum vitae, a statement of past research and future plans, and the names and contact information for three individuals who can provide letters of reference. Other materials (e.g., teaching and mentorship statement) are optional but will be considered if submitted. Applications should be submitted as PDFs via CAREERS JOB OPENING 288982. Contact Information
Requests for information may be directed to Prof. Aishik Ghosh at aishikghosh@gatech.edu. Background Check
The candidate of choice will be required to pass a pre-employment background screening. More details: http://policylibrary.gatech.edu/employment/pre-employment-screening Equal Employment Opportunity
The Georgia Institute of Technology is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. Georgia Tech prohibits discrimination on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, age, disability, or veteran status in its programs, activities, employment, and admissions. More information on these policies is available online.
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The School of Physics at Georgia Tech invites applications for a Postdoctoral Fellow position in Artificial Intelligence techniques to answer fundamental questions about the Universe. The successful candidate is expected to contribute to teaching and mentoring students. Location: Atlanta, GA. Responsibilities
Work in Prof. Aishik Ghosh's interdisciplinary research group to design AI techniques for theoretical physics questions, data analysis, and experiment design. These efforts include neuro-symbolic methods to automate theoretical physics calculations, and the integration of AI with physics software and high-performance computing (HPC) in areas such as particle and gravitational physics. Develop novel statistical methods for particle physics and astrophysics that can infer theory parameters directly from raw, high-dimensional data from experiments or observatories, including Higgs boson properties at the Large Hadron Collider and neutron star properties from telescope data; design robust uncertainty quantification tools. Develop simulation and optimization algorithms for next-generation particle physics experiments and explore other ways AI can accelerate scientific discovery. Collaborate with computer scientists, astrophysicists, gravitational/black hole physicists, particle physicists, and statisticians at Georgia Tech, Berkeley National Lab, CERN, and worldwide. See profaishikghosh.github.io for details. 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, plus familiarity with relevant physics software, is recommended. For statistical-inference or experiment-design projects, a strong background in statistics and/or particle physics is recommended. The postdoc will also have the option to participate in an experiment collaboration. Required Qualifications
A Ph.D. in fundamental physics or a relevant field, such as mathematics, statistics, astrophysics, or computer science. Demonstrated ability to conduct creative, high-impact research. Excellent written communication and presentation skills. Strong interest in collaborative, interdisciplinary work. Preferred Qualifications
Student success criteria: ability to promote a welcoming educational/work environment; mentor and assist students pursuing graduate education; engage students in experiential learning activities and pedagogy that support student success; engage in high-impact practices that support deep learning for student success. Required Documents To Attach
Curriculum vitae, a statement of past research and future plans, and the names and contact information for three individuals who can provide letters of reference. Other materials (e.g., teaching and mentorship statement) are optional but will be considered if submitted. Applications should be submitted as PDFs via CAREERS JOB OPENING 288982. Contact Information
Requests for information may be directed to Prof. Aishik Ghosh at aishikghosh@gatech.edu. Background Check
The candidate of choice will be required to pass a pre-employment background screening. More details: http://policylibrary.gatech.edu/employment/pre-employment-screening Equal Employment Opportunity
The Georgia Institute of Technology is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. Georgia Tech prohibits discrimination on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, age, disability, or veteran status in its programs, activities, employment, and admissions. More information on these policies is available online.
#J-18808-Ljbffr