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source

University of Virginia

PhD Positions in CFD Algorithm and Software Development University of Virginia in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The selected candidate will be funded throughout the PhD study. The post indicates GRA support and conference participation, including AIAA SciTech Forum and/or Supercomputing, plus a ten-week collaboration period at one of three NNSA National Laboratories.

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Country

United States

University

University of Virginia

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Mathematics
Numerical Analysis
Computational Science
Uncertainty Analysis
Data Assimilation
Monte Carlo Simulation
Software Development
High Performance Computing
Physics

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About this position

The University of Virginia School of Engineering and Applied Science is advertising PhD positions in CFD algorithm and software development within a newly established multidisciplinary research center focused on supercomputer simulations of extreme hypersonic conditions and uncertainty quantification.

Research will be carried out in the CFD and Propulsion Laboratory as part of a broader multi-university team involving engineers, computer scientists, and applied mathematicians. The openings cover several research directions, including adaptive mesh refinement and scale-bridging using AI, interactions of non-equilibrium dynamics and turbulence, data assimilation with maximum likelihood ensemble smoother, direct simulation Monte Carlo at rarefied hypersonic conditions, ablation and radiation modeling, and applied numerical and mathematical analysis.

This is a strong fit for students interested in computational fluid dynamics, aerospace engineering, high-performance computing, scientific software development, and numerical methods. The ad emphasizes programming ability, interest in new computing architectures, and teamwork in a multidisciplinary environment. Students will also attend conferences such as AIAA SciTech Forum and/or Supercomputing, and will spend at least one ten-week period collaborating at one of three NNSA National Laboratories.

Eligibility highlights include a B.S. or M.S. in Aerospace Sciences & Engineering, Mechanical Engineering, Computer Science, or Applied Mathematics; strong programming interest; background in CFD/computational methods/computing; and good English technical writing and oral presentation skills. Desired experience includes numerical algorithms for PDEs, software engineering, Linux, HPC, and scientific computing.

The positions are funded throughout the PhD. Applications are open only to U.S. persons and do not offer visa sponsorship. No closure date is listed.

To apply, use the University of Virginia online application portal. Questions can be directed to Professor Xinfeng Gao at [email protected]. Mention CFD Jobs Database record #19774 when contacting the team.

Funding details

The selected candidate will be funded throughout the PhD study. The post indicates GRA support and conference participation, including AIAA SciTech Forum and/or Supercomputing, plus a ten-week collaboration period at one of three NNSA National Laboratories.

What's required

Applicants should have a B.S. or M.S. in Aerospace Sciences & Engineering, Mechanical Engineering, Computer Science, or Applied Mathematics. Strong and demonstrated interest in programming is required, along with background in CFD, computational methods, or computing. Applicants should have interpersonal communication skills, good technical writing, and oral presentation skills in English. Desired experience includes numerical algorithms for PDEs, software design/implementation/deployment/maintenance, Linux, high-performance computing, and scientific computing applications. The positions are open only to U.S. persons and do not offer visa sponsorship.

How to apply

Apply online through the University of Virginia website. Direct questions to Professor Xinfeng Gao at [email protected]. Mention CFD Jobs Database record #19774 when responding.

More information can be found here

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