Field of Interest:hep-ex
Experiments:CERN-LHC-ATLAS
Deadline: 2018-03-05
Region: North America
Job description:
Position Description
The High Energy Physics Division at Argonne National Laboratory invites applications for a Staff Physicist position to work on the ATLAS experiment at the LHC. The successful candidate is expected to play leading roles in physics research and to conduct research and development in the area of Machine Learning on high-performance scientific computing (HPC). Argonne offers world-class opportunities in the area of High Performance Computing. The laboratory hosts the Argonne Leadership Computing Facility (ALCF) and has a strong Mathematics and Computer Science Division (MCS). The ALCF will house A21, a new supercomputer that will be the first exascale system in the U.S. for open science, offering new and exciting opportunities for the HEP community to carry out science at the cutting edge of high-performance computing and addressing the computational and big data challenges. The candidate is expected to develop and apply new capabilities in HPC to advance research with the ATLAS experiment and at particle physics frontiers in general. This position is part of a larger effort to build new pathways for particle physics to the deep computing expertise and infrastructure at Argonne National Laboratory. We are primarily interested in candidates at the Assistant Physicist level but outstanding senior candidates will be considered at higher levels. Preference will be given to applicants with experience using machine learning in LHC experiments, experience authoring parallel computing algorithms and familiarity with HPC architectures.
The Argonne High Energy Physics group has significant responsibilities in operation of the TileCal hadronic calorimeter, Trigger/DAQ (TDAQ) and software and computing for the ATLAS experiment, and in ATLAS detector upgrades for the HL-LHC including the DAQ system, and the Inner Tracker (ITk). The group has significant responsibilities for ATLAS core software including metadata, I/O and persistence mechanisms, in the use of DOE supercomputers for ATLAS simulation and analysis, in collaboration with computer scientists and software engineers at Argonne’s Leadership Computing Facility, and in applying machine learning techniques to physics object identification. Current physics research activities within the group include Higgs studies, Standard Model measurements, and searches for new phenomena.
Position Requirements
Successful candidates will have:
Applicants should send their curriculum vitae and a statement of research interests through the Argonne National Laboratory application system http://www.anl.gov/careers and arrange for three letters of recommendation to be sent to hep_letters@anl.gov. Applications received by March 5th, 2018 will be given full consideration.
For further information, contact Dr. James Proudfoot at proudfoot@anl.gov.
As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
More Information:http://www.anl.gov/careers
Experiments:CERN-LHC-ATLAS
Deadline: 2018-03-05
Region: North America
Job description:
Position Description
The High Energy Physics Division at Argonne National Laboratory invites applications for a Staff Physicist position to work on the ATLAS experiment at the LHC. The successful candidate is expected to play leading roles in physics research and to conduct research and development in the area of Machine Learning on high-performance scientific computing (HPC). Argonne offers world-class opportunities in the area of High Performance Computing. The laboratory hosts the Argonne Leadership Computing Facility (ALCF) and has a strong Mathematics and Computer Science Division (MCS). The ALCF will house A21, a new supercomputer that will be the first exascale system in the U.S. for open science, offering new and exciting opportunities for the HEP community to carry out science at the cutting edge of high-performance computing and addressing the computational and big data challenges. The candidate is expected to develop and apply new capabilities in HPC to advance research with the ATLAS experiment and at particle physics frontiers in general. This position is part of a larger effort to build new pathways for particle physics to the deep computing expertise and infrastructure at Argonne National Laboratory. We are primarily interested in candidates at the Assistant Physicist level but outstanding senior candidates will be considered at higher levels. Preference will be given to applicants with experience using machine learning in LHC experiments, experience authoring parallel computing algorithms and familiarity with HPC architectures.
The Argonne High Energy Physics group has significant responsibilities in operation of the TileCal hadronic calorimeter, Trigger/DAQ (TDAQ) and software and computing for the ATLAS experiment, and in ATLAS detector upgrades for the HL-LHC including the DAQ system, and the Inner Tracker (ITk). The group has significant responsibilities for ATLAS core software including metadata, I/O and persistence mechanisms, in the use of DOE supercomputers for ATLAS simulation and analysis, in collaboration with computer scientists and software engineers at Argonne’s Leadership Computing Facility, and in applying machine learning techniques to physics object identification. Current physics research activities within the group include Higgs studies, Standard Model measurements, and searches for new phenomena.
Position Requirements
Successful candidates will have:
- Doctorate in High Energy Physics, Computational Science or an equivalent related field.
- Extensive knowledge of elementary particle physics with broad general scientific knowledge.
- Considerable skill in scientific computing and code development for particle physics
- Considerable skill in applying Machine Learning toolkits such as Keras, TensorFlow, PyTorch, and MxNet to particle physics data analysis.
- Comprehensive skill in identifying important research topics and in developing innovative methods for accomplishing research.
- Solid communication skills, both verbal and written as well as outstanding skill in developing good working relations with others.
Applicants should send their curriculum vitae and a statement of research interests through the Argonne National Laboratory application system http://www.anl.gov/careers and arrange for three letters of recommendation to be sent to hep_letters@anl.gov. Applications received by March 5th, 2018 will be given full consideration.
For further information, contact Dr. James Proudfoot at proudfoot@anl.gov.
As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
More Information:http://www.anl.gov/careers