Postdoctoral Research Associate (LeBlanc) Brown University

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.

Maximizing the scientific potential of the enormous datasets from the LHC requires significant computational resources for data acquisition, processing and storage. The need for efficient computing solutions will intensify further during the era of the HL-LHC, when data collection rates will increase by roughly an order of magnitude relative to today. This project aims to enhance the discovery potential of the HL-LHC by facilitating more effective knowledge discovery from its vast dataset. This includes investigating novel lossy compression techniques and their impact on physics analysis, particularly for AI/ML applications, as well as developing advanced methods to improve the efficiency of Monte Carlo event generation; for instance, by addressing challenges posed by negative event weights.

The successful candidate will be expected to participate in the supervision and mentorship of doctoral, masters and/or undergraduate students. They may participate in the activities of the CMS Experiment (the CMS group at Brown is led by Profs. Barone, Gouskos, Heintz, Landsberg, LeBlanc and Roloff), and/or to consider research directions targeting future collider physics facilities. The physics department is especially interested in qualified candidates who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community. The initial appointment will be for two years with a start date of September 1, 2025.

A PhD in physics or a related field (e.g. data science) is required by the starting date; applicants with either experimental or theoretical backgrounds are encouraged to apply. Experience in one or more of the following areas is preferred:

? 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 (...)

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