Graduate Summer Intern: Large Eddy Simulation with Adaptive Mesh Refinement
Graduate Summer Intern: Large Eddy Simulation with Adaptive Mesh Refinement
Location - Remote
Working at NREL
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies. From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our eight employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Job Description
The High Performance Algorithms and Complex Fluids (HPACF) group in the Computational Science Center (CSC) is seeking a full-time (40 hours per week) summer intern. The intern will work as a member of HPACF’s group to drive the development of new models, algorithms, and techniques for simulations in high performance computing. Daily responsibilities will include computer programming and Large Eddy Simulation model development for turbulent flows. The intern will also work with the team to prepare the results for presentation at appropriate conferences and publication in scientific journals.
Basic Qualifications
Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average.
Please Note:
•You will need to upload official or unofficial school transcripts as part of the application process.
•If selected for position, a letter of recommendation will be required as part of the hiring process.
Additional Required Qualifications
Must have experience or be willing to learn about turbulent flows and high performance computing. The successful applicant must have experience in computational programming frameworks (C/C++, Python, UNIX, etc.). Ability to work both independently and as part of a team is required.
Preferred Qualifications
- Preference will be given to candidates with a strong interest in fluid mechanics, particularly turbulence modeling. Experience in the following would be highly advantageous:
- Modeling experience for large eddy simulations of turbulent flows
- Proficient in C++
- Experience in the development of CFD solvers and well-versed in numerical methods
- Experience with UNIX computational environments
- Demonstrated expertise in parallel programming paradigms such as MPI/OpenMP/CUDA
- Demonstrated ability to work independently and in teams to deliver high-quality results
- Track record of delivering results within aggressive timelines
- Excellent technical writing, interpersonal, and communication skills