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Position: Postdoctoral Research Associate in Computational High Energy Physics Description: Princeton University is seeking one (or more) postdoctoral or more senior research associates to work with the Princeton Institute for Computational Science and Engineering (PICSciE) and the High Energy Experiment group in the Princeton Physics Department on computational research in experimental High Energy Physics (HEP). HEP experiments advance the understanding of elementary particles that are the fundamental constituents of matter and their interactions. Obtaining scientific results from these experiments requires complex software and computing systems, developed by international teams of researchers over decades. The resulting scientific data sets are among the largest in the world. The successful applicant(s) will be part of the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP, http://iris-hep.org/), which is developing innovative solutions to the computational and data challenges of the High Luminosity Large Hadron Collider (HL-LHC), which will collect data starting in 2029 and continue into the 2030's. Our research program also includes detector component simulation and data reconstruction algorithms of the key4hep software ecosystem being developed in the context of the future collider community (specifically Future Circular Collider (FCC) and muon collider concepts). The candidate(s) is expected to play a leadership role in one of several R&D projects, including research into highly performant data analysis systems, the application of novel machine learning techniques to HEP, and/or the implementation of other innovative event reconstruction algorithms for HL-LHC and future collider concepts. The successful applicants will also have the opportunity to do their own research on the CMS experiment at the Large Hadron Collider at the European Laboratory for Particle Physics (CERN) in Geneva, Switzerland. For additional information, contact Dr. Peter Elmer (Peter.Elmer@cern.ch). This position will be based at Princeton University, at CERN in Geneva, Switzerland or at Fermilab near Chicago, Illinois, subject to discussion with the principal investigator. Appointments are initially for one year, with renewal possible based on satisfactory performance and funding. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/36262 and include a curriculum vitae, a one-page statement of research experience and interests, and a cover letter with the names and contact information of three references. The position is subject to the University's background check policy. Essential Qualifications: Ph.D. in Experimental Particle Physics or a closely related field (Research or Scientific Computing Software, Computational Science, Data Science, and Machine Learning), or advanced degree in Computer Science or a related field with a focus on applications Strong programming skills, in particular with C++ and/or Python Experience developing scientific or data science software applications such as those being developed by IRIS-HEP Strong interpersonal, oral, and written communication skills Able to work collaboratively with researchers, faculty, and staff from diverse backgrounds Preferred Qualifications: Ability to direct efforts of others within teams of various sizes Experience working in large, international scientific collaborations and delivering software in such contexts Experience with one or more of the following: data analysis of large scientific datasets, data science and/or machine learning tools, trigger/reconstruction algorithms for large high energy or nuclear physics detectors, software development for GPUs and other new architectures as well as related performance optimizations Applications will be reviewed on a rolling basis as they arrive, and all applications received by 31 October 2024 11:59 (EST), will receive full consideration. https://www.click2apply.net/yAeJKoswykVEpT4kDs6nzMApply Here: https://www.click2apply.net/yAeJKoswykVEpT4kDs6nzMPI249195411