Experiments:CERN-LHC-ATLAS
Deadline: 2018-04-24
Region: North America
Job description:
Position Description
The High Energy Physics Division at Argonne National Laboratory (ANL) invites applications for a postdoctoral research associate position to work on the ATLAS experiment at the LHC. The successful candidate is expected to take a leading role in applying machine learning techniques to ATLAS data analysis and object reconstruction and to participate in the physics research carried out by the group. The group is growing its expertise in applying machine learning techniques to challenging problems within ATLAS and High Energy Physics in general, and collaborates with computer scientists and software engineers at Argonne’s Leadership Computing Facility (ALCF) working on multiple High Performance Computing platforms. The ALCF will house A21, a new supercomputer that will be the first exascale system in the U.S. for open science. The Argonne group has significant involvement in ATLAS detector operations and has several major upgrade activities including ITk Pixel and TDAQ, ATLAS core software development, machine learning algorithms, and software design for high-performance computers. The group has strong involvement in Standard Model physics measurements, searches for new physics, Higgs measurements, and development of b-tagging algorithms.
Position Requirements
Candidates must have received their Ph.D. in experimental particle physics within three years of the start of the appointment.
Applicants should include curriculum vitae, a statement of research interests and arrange for three letters of recommendation be sent to hep_letters@anl.gov. For further information, contact Dr. Sergei Chekanov at Sergei.CHEKANOV@cern.ch. Review of applications will begin once the application is completed and will continue until the position is filled.
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/apply-job/postdoctoral-applicants