Category

Engineering

Job Type

Temporary

Compensation Minimum (USD)

$28.00

Compensation Maximum (USD)

$40.00

Education

Bachelor's Degree

Minimum Citizenship Status Required

U.S Citizen or Permanent Resident

Security Clearance Required

None

Job Description

The Science and Technology Corporation (STC), in collaboration with NASA Ames Research Center, is at the forefront of aerospace innovation, engaging in research that pushes the boundaries of science and technology. We are excited to extend a special invitation to students in computer science or related fields for an internship or part-time role, offering flexible schedules to fit academic commitments. We seek a dedicated Master's or PhD student candidate engaged in thesis work, possessing a deep understanding of Computational Fluid Dynamics (CFD), to conduct critical verification and validation studies using our Launch Ascent and Vehicle Aerodynamics Solver (LAVA).

Responsibilities

• Advanced Simulation: Execute comprehensive verification and validation studies employing canonical approaches, utilizing the LAVA solver.
• Technical Proficiency: Run CFD simulations with a focus on techniques like Large Eddy Simulation (LES), Reynolds Averaged Navier Stokes (RANS), and hybrid RANS/LES methodologies.
• System Expertise: Efficiently operate solvers within PBS cluster environments, ensuring optimal performance and accuracy.

This is a limited duration “student intern” position during the summer, with flexible start and end dates to accommodate academic schedules, with an opportunity for long-term commitment afterwards. The primary work will be done at the NASA Ames Research Center, with the option for remote work for long-term engagements.

Job Requirements

• Currently pursuing or recently completed a master’s or PhD in Aerospace Engineering, Mechanical Engineering, or a related field, or engaged in master's thesis work in a relevant discipline.
• Demonstrated experience in conducting CFD simulations, with a strong preference for candidates familiar with LES, RANS, and hybrid RANS/LES simulations.
• Proficient in utilizing HPC environments, specifically with experience in PBS cluster systems.
• Comfortable working with Linux and MacOS operating systems, along with a solid foundation in general computational tools and practices.

We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.