Postdoctoral Research Associate; LeBlanc

Overview

The high-energy physics group at Brown University seeks to appoint a postdoctoral research associate. The successful candidate will primarily work with Prof. Matt LeBlanc in support of a new project related to Computational Advances that will Enable Precision Physics at the High Luminosity LHC.

• Contribute to research on computational advances for HL-LHC physics, including investigating novel lossy compression techniques and their impact on physics analysis, particularly for AI/ML applications.
• Develop and apply advanced methods to improve the efficiency of Monte Carlo event generation, addressing challenges such as negative event weights.
• Participate in supervision and mentorship of doctoral, masters, and undergraduate students.
• Engage with CMS Experiment activities (Brown CMS group led by Profs. Barone, Gouskos, Heintz, Landsberg, LeBlanc and Roloff) and/or explore research directions for future collider facilities.

• PhD in physics or a related field (e.g., data science) by the starting date; applicants with experimental or theoretical backgrounds encouraged to apply.
• Experience in one or more areas: modern data analysis in high-energy physics; application or development of AI/ML algorithms; scientific software development, including Monte Carlo event generator development; data compression/reduction methods.

Interested candidates should submit a cover letter, curriculum vitae, short statement of research interests (approx. 1-2 pages), and three confidential letters of recommendation. Review of applications will begin by 1 August, 2025. The position will remain open until filled.

For inquiries, please contact:
Prof. Matt LeBlanc ()

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance.

The University maintains certain affirmative action programs in compliance with applicable law.