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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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Hpc Postdoc jobs near you
Infographic showing various Hpc Postdoc job openings in Utah as of July 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution.
Postdoctoral Researcher - Passive Seismic Imaging

Postdoctoral Researcher - Passive Seismic Imaging

Zanskar

Salt Lake City, UT • Hybrid

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Postdoctoral Researcher - Passive Seismic Imaging


Location: Salt Lake City, UT (hybrid)
Benefits Eligible: yes
Salary: $85k - $95k
Manager: Seismic Team Lead

Why we exist and why we need you

Geothermal energy is the most abundant renewable energy source in the world. However, historically it's been hard to find and expensive to develop. At Zanskar, we're using advanced technology to find and develop new geothermal resources that make baseload geothermal a cost-effective and vital contributor to a carbon-free energy future. We are revolutionizing the exploration process, setting new industry standards for discovery rates by finding new prospects at an unprecedented scale and working to develop faster and cheaper with scale and reduced risk drilling. 

We're seeking a Postdoctoral Researcher in Passive Seismic Imaging to help advance how we image the subsurface using earthquakes and ambient noise. Working alongside our exploration and R&D teams, you'll help convert passive seismic signals into actionable items: images of basement depth, and fault geometry, that improve how we characterize prospects.

Outcomes - Problems you'll solve
  • Build velocity models and image basement depth, layering, and fault structure from passive arrays
  • Locate and analyze microseismicity to map active faults, stress regimes, and structural controls
  • Develop, benchmark, and refine passive seismic imaging methods
  • Construct reproducible, well-documented processing pipelines (Python/ObsPy or equivalent) that scale to large datasets
  • Work with the exploration and R&D teams to integrate passive imaging into prospect evaluation
What we're looking for

Required

  • Ph.D. (completed or near completion) in geophysics, seismology, or a closely related field
  • Demonstrated research expertise in passive seismic methods such as ambient noise tomography or microseismic analysis, evidenced by peer-reviewed publications
  • Strong foundation in seismic signal processing and inversion
  • Proficiency in scientific computing and reproducible workflows (e.g., Python, HPC), with version control (e.g., Git/GitHub) a plus
  • Ability to translate research-stage methods into practical, decision-grade tools under real-world data and time constraints
  • Strong cross-disciplinary collaboration skills, able to communicate and integrate effectively with geologists, geophysicists, engineers, and data scientists
Location and Benefits
  • The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position
  • Benefits include:
  • Paid holidays
  • 18 days PTO + PTO accrual increase based on tenure
  • Medical, dental and vision coverage
  • 401k 
  • Life insurance + Short term & Long term disability
  • Growth opportunities at a company with a direct impact in displacing carbon emissions
Equal Opportunity Employer
 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws. 
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