Fermilab, Scientific Computing Division

1787 18231
Position ID:FNAL-Scientific Computing Division-SCDRA [#18231]
Position Title: Research Associate
Position Location:Batavia, Illinois 60510, United States [map]
Subject Areas: Computer Science
Appl Deadline:2021/03/31 11:59PMhelp popup (posted 2021/03/02, listed until 2021/03/31)
Position Description:    

*** the list date or deadline for this position has passed and new applications are no longer being accepted. ***

Open Date: March 2, 2021 
Close Date: March 31, 2021 

We Are:

Fermilab is America’s premier laboratory for particle physics and accelerator research, funded by the U.S. Department of Energy. We support discovery science experiments in Illinois and South Dakota and at locations around the world, including Canada, mountaintops in Arizona and Chile, and the South Pole. Members of our Scientific Computing Division collaborate on scientific projects using our computing expertise to develop and apply simulation and analysis tools to achieve success in expanding knowledge. 

The Scientific Computing Division is seeking a highly motivated individual to fill a Research Associate position. The successful candidate will employ High Performance Computing (HPC) techniques and resources to advance Fermilab’s mission in the areas of computational accelerator physics and high energy physics (HEP) data analytics through participation in two DOE funded projects SciDAC projects: ComPASS4 (accelerator modeling https://compass.fnal.gov) and "HEP Data Analytics on HPC” (https://computing.fnal.gov/hep-on-hpc). Both projects involve collaboration with multiple laboratories and institutions, using some of the world’s most advanced computing facilities such as NERSC, ALCF, and OLCF. The successful candidate will work with SciDAC ASCR FASTMath and RAPIDS Institutes, along with HEP partners to best utilize high-performance Python and C++ libraries. 

The position is for a period of up to three (3) years, with the potential for extension considered on a yearly basis thereafter. Work will include developing and optimizing parallel algorithms for computationally expensive problems in the areas of accelerator modeling and high energy physics analyses with an overall goal to enable large-scale parallelism and leverage accelerators available at HPC facilities. 

ComPASS4 SciDAC project activities could include: 

Developing capabilities and applying the Synergia (synergia.fnal.gov) accelerator modeling framework to: 
  • Apply parallel optimization techniques to improve particle accelerator designs 
  • Investigate the beam physics of space charge compensation 
  • Develop simulations of multi-stage plasma and conventional accelerators 
HEP Data Analytics on HPC SciDAC project activities may include: 

  • Collaborating with several HEP experiments including CMS, ATLAS, NOvA and DUNE to make physics analyses suitable for running at HPC centers. 
  • Working to develop HPC workflow components for the ICARUS experiment, demonstrating large-scale parallelism with LArSoft and art frameworks in use within the neutrino program. 
  • Developing computationally expensive parameter estimation and analysis algorithms for use in HEP analysis. 
  • Continuing work on performance and other HPC enhancements to statistical methods and procedures, including the Feldman-Cousins procedure used within the neutrino community and introducing Bayesian analysis techniques into NOvA and DUNE. 

We Are Looking For 

  • PhD or Master’s degree in Physics, Computer Science or related discipline with a strong emphasis in Computational Science. 
  • Software development of scientific applications in a collaborative software development setting is required.
  • Experience developing and running applications in a parallel computing environment is required. 
  • Experience with Python, or similar high-level analysis language for analysis, data science, and computational tasks is required. 
  • Experience developing and running parallel software applications with MPI, OpenMP, CUDA, or related parallelization tools and compilers is highly desirable 
  • Experience with C++ and Python is highly desirable 
  • Experience working with large-scale datasets highly desirable 

Application Instructions

Interested candidates should submit via Academic Jobs Online: 1) Cover letter, 2) Curriculum Vitae, 3) Research Statement, 4) Publication List and 5) Three Reference Letters (to be submitted by the reference writers at the AJO site). 


For general information about this position, please contact Eric Stern at egstern@fnal.gov or Jim Kowalkowski at jbk@fnal.gov 

Fermilab is an Equal Opportunity Employer.
Underrepresented groups/Women/Disabled/Veterans are encouraged to apply.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
Fermilab MS 116
P.O. Box 500
Batavia, IL 60510

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