Quantum Enrichment Simulation - Intern
Location
United States
Posted
5 days ago
Salary
Not specified
Seniority
Entry Level
No structured requirement data.
Job Description
- Solid understanding of core fluid mechanics, including compressible flow concepts; exposure to high‑speed or rarefied gas dynamics (e.g., in coursework or projects) is a plus.
- Interest in kinetic descriptions of gases (e.g., Boltzmann‑type approaches, DSMC, gas‑kinetic schemes) and willingness to learn how these are applied to rarefied or separation devices.
- Exposure to or curiosity about laser–plasma or laser–molecule interaction, internal energy mode excitation, or radiation–matter interaction; prior project or research experience in this area is a plus.
- Interest in isotope‑selective laser excitation schemes (e.g., AVLIS, MLIS, condensation repression, multiphoton dissociation, or photoionization); prior familiarity is a plus, not a requirement.
- Willingness to learn verification and validation principles for multiphysics simulations, including basic concepts of code and solution verification, validation hierarchies, and uncertainty quantification.
- Ability to work collaboratively with experimental teams and to use data to help calibrate and improve models with guidance.
- Strong problem‑solving and systems‑thinking mindset, with an interest in using simulations to inform design changes and improve hardware, optical layouts, or process performance.
- Clear written and verbal communication skills, including the ability to document modeling work and explain assumptions and limitations to technical audiences.
- Experience with Star-CCM+ or other relevant codes
- Currently pursuing or recently completed an M.S., or Ph.D. in Mechanical Engineering, Aerospace Engineering, Nuclear Engineering, Applied Physics, or a closely related discipline with a focus on fluid mechanics, high-speed aerodynamics, or related fields.
- Prior experience (course projects, research, internships, or personal projects) involving CFD, gas‑kinetic simulations, rarefied flows, or high‑speed compressible flows is strongly preferred but not strictly required.
- Experience working with experimental programs (e.g., wind tunnels, lab test rigs, plasma or laser experiments, or separation devices) is a plus.
- Demonstrated interest in advanced simulation, laser‑based technologies, or nuclear/isotope separation applications through coursework, clubs, research, or internships is a plus.
Under the guidance of senior team member, support high-fidelity simulation campaigns for laser-based quantum enrichment systems, including continuum and rarefied gas flows, DSMC-based molecular beams, and coupled excitation/ionization physics in the separation region.
Assist with geometry definition, mesh or particle-resolution setup, basic model selection, numerical setup, and post-processing workflows for laser enrichment unit simulations, following established procedures and review.
Help implement and test hybrid continuum–kinetic frameworks (e.g., CFD–DSMC coupling) under guidance, including straightforward domain decomposition and selecting appropriate models across different Knudsen number regimes.
Contribute to the setup and analysis of simplified laser–matter interaction and excitation models (with mentoring), including isotope-selective excitation concepts and basic relaxation/ionization pathways as appropriate to the system.
Work with experimental teams to support targeted tests (nozzle expansions, beamlines, laser interaction zones, optical diagnostics), providing pre-test modelling support and helping compare simulation outputs to post-test data.
Assist in simulation-based sweeps and parametric studies to help identify sensitivities and trends in enrichment factor, efficiency, and process robustness.
Support basic uncertainty quantification, sensitivity analysis, and optimization activities under the supervision of senior engineers, contributing inputs and analyses that strengthen simulation-based decisions.
Prepare clear plots, summaries, and short technical notes that document modelling assumptions, setups, and key findings for internal stakeholders, incorporating feedback from the team.
Collaborate with process engineering and product teams, with support from the simulation lead, to connect simulation outputs to system-level metrics (e.g., separation factor trends, qualitative impacts on capacity or efficiency).
Perform literature reviews and basic benchmarking of relevant CFD, DSMC, and laser-interaction methods, summarizing findings to support ongoing model development.
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