Computer Science: Computer Applications, Physics: Computational, Physics: High Energy
Princeton University is seeking two or more Professional Specialists to work with the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP, http://iris-hep.org/about/overview). HEP aims to understand the fundamental particle constituents of matter and their interactions. HEP experiments require complex software and computing systems, developed by international teams of researchers over decades. The data sets obtained by these experiments are among the largest in the world. IRIS-HEP is developing innovative solutions for the computational and data science challenges of the planned High Luminosity Large Hadron Collider (HL-LHC) at the European Laboratory for Particle Physics (CERN) in Geneva, Switzerland. The HL-LHC will begin collecting data in 2026 and continue into the 2030's.
The Institute is pursuing a range of R&D activities into the software needed to acquire, manage, process and analyze the Exabyte scale datasets that will be produced by the HL-LHC and other HEP experiments of the 2020's. Also included is research into deployment of the resulting systems on national and international distributed high throughput computing and next generation high performance computing cyberinfrastructures. A successful candidate will play a key role in one or more of the Institute research areas.
Applicants from multiple scientific and engineering backgrounds are encouraged to apply, including academic HEP as well as from the machine learning, data science and/or scientific python communities. The position(s) will have a functional title of "Computational Physicist" or "Research Software Engineer". Appointments will be at either the Associate Professional Specialist or Professional Specialist rank, depending on the candidate's credentials and experience.
The positions will be based at Princeton University, at CERN, in Switzerland, or at Fermilab, near Chicago, subject to negotiation with the principal investigator. Occasional travel to national or international meetings will be required. The initial appointment will be for 1 year, with the possibility of renewal subject to satisfactory performance and availability of funding. For additional information, please contact Dr. Peter Elmer (Peter.Elmer@cern.ch).
This position is subject to the University's background check policy.
*** Essential Qualifications ***
Academic preparation: Ph.D. in Experimental Particle Physics or a closely related field, or advanced degree in Computer Science with 3 or more years of relevant experience
Exceptional candidates with a non-traditional, but commensurate, background in industry or other academic fields may also be considered
Strong programming skills, in particular with C++ and/or Python Experience developing large-scale scientific or data science software applications, in particular involving or contributing to one or more of the following:
Analysis of large datasets
Open source machine learning, data mining software toolkits, and/or the scientific python ecosystem
Deployment of scientific applications on high throughput or high performance computing facilities
Large scale research data management
Software performance optimization and/or use of new parallel processor architectures (GPUs, FPGAs, etc.) and related software technologies
Pattern recognition algorithms relevant for high energy physics detectors
Strong interpersonal, oral, and written communication skills
*** Additional Qualifications of Interest ***
Ability to direct efforts of others within teams of various sizes
Experience working in large, international scientific or open-source software collaborations and delivering software in such contexts
Experience with educational activities related to computational and/or data science tools and techniques
Communication of scientific and/or technical activities to the general public
Experience mentoring students on technical or scientific projects
Internal Number: D-19-PIC-00002
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