Postdoctoral Research Associate- Computational Astrophysics

Job Summary

Post-doctoral Positions and Fellowships
Oak Ridge National Laboratory
Number of Positions Available
Work Arrangement

Job Description


As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

We are seeking a Postdoctoral Research Associate to work as part of our Computational Astrophysics team. In this role, you will focus on state-of-the-art simulations for core-collapse supernovae, developing the next-generation of simulation code and analysis tools while analyzing the results of current simulations. You will work alongside a dedicated team of researchers, both at Oak Ridge National Laboratory (ORNL) and as part of the multi-institutional Flash-X team and have the opportunity to share your results with the scientific community. This position resides in the Nuclear, Particle, and Astrophysics Group of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory (ORNL) and is part of the Exascale Astrophysics for FRIB (Facility of Rare IsotopeBemas) project supported by the DOE Scientific Discovery through Advanced Computing (SciDAC) program.

As part of our research team, you will be responsible for developing new capabilities and analyzing state-of-the-art models of core-collapse supernovae (CCSNe) using the Flash-X code.  Flash-X is a multi-physics code built for a wide range of astrophysical applications.   You will be responsible for a number of essential developments for Flash-X, including approaches to relativistic gravity, nuclear kinetics, and the solution of linear systems stemming from neutrino transport algorithms.  The models we will run with the improved version of Flash-X will address key questions in the physics of CCSNe, for example: What is the range of stars for which successful CCSNe occur? What is the contribution of CCSNe to Galactic Chemical Evolution?

Major Duties/Responsibilities: 

  • Develop Flash-X solvers and implementations
  • Perform state of the art simulations of core-collapse supernovae
  • Present and report research results and publish scientific results in peer-reviewed journals in a timely manner
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

  • A PhD Physics, Astronomy, Applied Mathematics, or a related discipline completed within the last 5 years
  • Experience with High Performance Computing and programming for massively parallel computers.

Preferred Qualifications:

  • Experience in Nuclear or Stellar Astrophysics
  • An excellent record of productive and creative research as proven by publications in peer-reviewed journals and letters of reference from active practitioners in the field
  • Experience with MPI, OpenMP, parallel I/O (including HDF5), OpenACC and/or OpenMP, Fortran, Python
  • Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line.

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Application Details

Publication Start Date
2023 Nov 28
Application Deadline
2024 Jan 17
Reference Code