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Hpc Postdoc Jobs (NOW HIRING)

Northeastern University

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Goodwill Computer Lab researches on a variety of computer systems topics including HPC ... The major responsibilities of the Postdoctoral Research Associate includes contributing to multiple ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Goodwill Computer Lab researches on a variety of computer systems topics including HPC ... The major responsibilities of the Postdoctoral Research Associate includes contributing to multiple ...

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Hpc Postdoc information

What is an HPC postdoc?

HPC Postdocs, or High Performance Computing Postdoctoral Researchers, are scientists who have completed their PhD and are conducting advanced research that leverages powerful computational systems to solve complex problems. They often work at universities, research institutes, or national laboratories, focusing on developing new algorithms, optimizing code for supercomputers, or applying computational methods to scientific challenges. HPC Postdocs collaborate with interdisciplinary teams and may also provide support or training in HPC techniques for other researchers. Their work is essential for pushing the boundaries of science in fields such as physics, climate modeling, computational biology, and engineering.

What skills and qualifications are needed to thrive as an HPC postdoc?

To thrive as an HPC Postdoc, you need advanced knowledge in computational science, parallel programming, and a relevant doctoral degree, often in fields like physics, computer science, or engineering. Expertise in programming languages (such as C/C++, Fortran, Python), experience with high-performance computing systems, and familiarity with tools like MPI, OpenMP, or GPU computing frameworks are typically required. Strong analytical thinking, problem-solving, and collaboration skills set outstanding candidates apart in research environments. These competencies are crucial for conducting cutting-edge research, optimizing complex simulations, and advancing scientific discovery using supercomputing resources.

What are common challenges faced by an HPC postdoc when optimizing scientific applications for supercomputing environments?

HPC Postdocs often encounter the challenge of adapting complex scientific codes to efficiently utilize advanced supercomputing architectures. This may involve addressing issues such as parallel scalability, memory bottlenecks, and compatibility with different hardware or software environments. Collaborating closely with domain scientists, software engineers, and IT staff is essential to troubleshoot performance issues and implement effective solutions. Staying up-to-date with emerging HPC technologies and optimization techniques is also crucial for success in this role.
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Infographic showing various Hpc Postdoc job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, and 43% Hybrid job distribution.

Research Associate in Mechanical and Aerospace Engineering

University of Virginia

Charlottesville, VA • On-site

$47K - $90K/yr

Full-time

Re-posted 14 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities

Job description

The Computational Fluid Dynamics (CFD) and Propulsion Laboratory in the Department of Mechanical and Aerospace Engineering at University of Virginia is seeking a qualified candidate for a Postdoctoral Research Associate position.
Research in the laboratory focuses on high-performance computing (HPC) methods in CFD, advanced algorithm development, data assimilation and scientific machine learning. The successful candidate will contribute to the development of advanced numerical algorithms for large-scale CFD modeling and simulations, including scalable solvers, domain decomposition methods, and data-driven and physics-driven learning techniques.
The Postdoctoral Research Associate will work as an algorithm developer within the CFD and Propulsion Laboratory and will be responsible for the development, implementation, and analysis of efficient numerical methods for next-generation CFD applications on HPC platforms.
Qualification Requirements
By the start date, applicants must have earned a PhD in Mathematics or Statistics or other related field, and be within 5 years post-PhD. Candidates should demonstrate research experience in a few of the following areas:
  • CFD methods, numerical methods and analysis, stability analysis
  • Scalable solvers, and domain decomposition methods
  • C++ programming, parallel programming, GPU programming
  • Stochastic partial differential equations (PDEs), stochastic processes and analysis
  • Model reduction, surrogate model development
  • Uncertainty quantification

Preferred Qualifications
Preference will be given to candidates with additional expertise in:
  • AI/ML
  • Supercomputing
  • Large-scale computational infrastructure and workflows
  • Peer-reviewed publications in computational mathematics and/or computational/numerical methods

Salary
The anticipated hiring base salary is $53,000.
Application Procedure
Apply online through the UVA Job Board and search for position number R0083690.
Applicants should upload:
  • A cover letter
  • Curriculum vitae
  • Contact information for three professional references

Please note that multiple documents may be uploaded in the application portal.
Application Deadline
Review of applications will begin on June 2, 2026; however, the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment. Renewal is contingent upon available funding and satisfactory performance.
Estimated salary range is $47,500 - $90,000, commensurate with experience.
Questions regarding this position should be directed to Professor Xinfeng Gao at gao@virginia.edu .
For questions about the application process, please contact Richard Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
For more information on the benefits available to Research Associate at UVA, visit hr.virginia.edu/benefits.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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Headquarters location

Charlottesville, VA, US

Year founded

1819

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