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Hpc Postdoc Jobs (NOW HIRING)

University of Idaho

Postdoctoral Fellow

Moscow, ID · On-site

$60K/yr

Posting Number SP005141P Position Title Postdoctoral Fellow Division/College College of Science ... Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI/OpenMP; GPU ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 533019 Work type: Research Faculty ... Proficiency in Python Experience running simulations with high performance computing (HPC ...

The Pennsylvania State University

... Postdoctoral Researcher positions to work with Professor Jimmy DeLaunay and collaborators. The ... Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage.

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Hpc Postdoc information

What are HPC Postdocs?

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 are the key skills and qualifications needed to thrive as an HPC Postdoc, and why are they important?

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 some 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 June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Postdoctoral Researcher: Quantum Algorithm Engineering for Hamiltonian Simulation

Postdoctoral Researcher: Quantum Algorithm Engineering for Hamiltonian Simulation

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

8th of 103 rated laboratories

Job description

Job Summary:
Los Alamos National Laboratory is seeking a postdoctoral research associate in the Computing and Artificial Intelligence Division to advance quantum simulations. The role focuses on developing analytical tools and workflows to optimize quantum algorithms for fault-tolerant quantum computers and involves exploring new quantum algorithms and use cases.
Responsibilities:
• Develop novel analytical tools and new workflows to leverage existing AI tools to analyze and optimize quantum algorithms for fault-tolerant quantum computers.
• Explore the development of new quantum algorithms and discover new quantum computing use cases.
Qualifications:
Required:
• A Ph.D. in Computer Sciences, Mathematics, Materials Science, or related physical sciences, completed within the last 5 years.
• Programming and simulation experience (Python, Julia, etc.)
• Demonstrated experience in conducting original scientific research through peer-reviewed publication records.
• Excellent communication and writing skills.
Preferred:
• Solid background in quantum algorithms, quantum computation, quantum information, and quantum communication.
• Demonstrated experience in quantum simulation techniques (preferably with tensor networks but other methods such as Monte Carlo, Pauli Propagation, etc.., are welcome).
• Experience with fault-tolerant quantum simulations of many-body systems.
• Experience with High Performance Computing (HPC) or GPU programming.
• The ability to work creatively and independently as well as learn and collaborate with experts as a part of a diverse multi-disciplinary team.
• Hands-on experience running experiments on cloud-based quantum devices.
• Ability to adapt to new requirements for projects and be flexible enough to learn new concepts
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.

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