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Computational Analyst I

Job in Rochester, Monroe County, New York, 14623, USA
Listing for: University of Rochester
Full Time position
Listed on 2026-08-22
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Physics, Biomedical Science
Salary/Wage Range or Industry Benchmark: 61000 - 85400 USD Yearly USD 61000.00 85400.00 YEAR
Job Description & How to Apply Below

Job Title

The University of Rochester is defined by a deep commitment to Meliora
- Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location:

250 East River Rd, Rochester, New York, United States of America, 14623

Opening:

Worker Subtype:
Regular

Time Type:
Full time

Scheduled Weekly

Hours:

40

Department: 250548 LLE-Laboratory for Laser Energ

Work Shift:

UR
- Day (United States of America)

Range: UR URG 110

Compensation Range: $61,000.00 - $85,400.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities

Contributes to computational physics research. Supports simulation design and execution, data analysis, visualization, documentation, and presentation of results for research involving high-energy-density physics, inertial confinement fusion, and large-scale Multiphysics modeling. Contributes to verification and validation of charged-particle transport capabilities in simulation codes used for ignition-relevant applications. Interfaces with experimental and computational colleagues, providing opportunities to understand how simulations support experimental design, data analysis, and interpretation.

Essential

Functions
  • Assists with the design, execution, documentation, and analysis of computational test problems used to assess charged-particle transport capabilities in large-scale Multiphysics simulation codes.
  • Contributes to verification and validation studies for computational physics models relevant to high-energy-density physics, inertial confinement fusion, and ignition applications.
  • Supports model development, simulation workflow development, post-processing, data analysis, visualization, and interpretation of computational results.
  • Interfaces with experimental, theoretical, and computational colleagues to understand how simulations support experimental design, diagnostic interpretation, and analysis of high-energy-density physics experiments.
  • Applies scientific programming tools, including Python and related languages, to prepare input files, analyze simulation outputs, generate plots, automate workflows, and present results.
  • Works with existing multiphysics hydrodynamics and radiation-hydrodynamics codes, including simulation setup, execution, data management, and comparison of results with benchmark calculations, analytic expectations, or other reference solutions.
  • Prepares technical summaries, figures, reports, and presentations for use and interpretation by scientists, students, code developers, and external collaborators.
  • Participates in research discussions and communicates computational findings within department and the wider scientific community.
  • Other duties as assigned.
Minimum Education & Experience
  • Bachelor's degree in physics, applied mathematics, computer science, engineering, astronomy, or a closely related quantitative field required.
  • Or an equivalent combination of education and experience.
Knowledge, Skills & Abilities
  • Experience or coursework in computational physics, numerical methods, applied mathematics, scientific computing, algorithms, fluid dynamics, plasma physics, or related areas required
  • Experience with scientific programming using Python or related tools required
  • Demonstrated ability to analyze scientific or computational data, prepare visualizations, interpret results, and communicate findings required
  • Ability to work independently and collaboratively in a research environment required
  • Working knowledge of Fortran, C/C++, Linux/Unix environments, Git, high-performance computing systems, multiphysics simulation, hydrodynamics, radiation-hydrodynamics, transport modeling, or high-energy-density physics required

The University of…

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