We are sharing a specialised part-time consulting opportunity for particle and nuclear physics experts with graduate-level expertise in computational physics, scientific programming, and research-grade simulation and analysis tools.
This role supports the development of advanced scientific problem-solving tasks based on real computational physics workflows. Selected experts will design original graduate-level problems requiring simulation, numerical analysis, experimental reasoning, and specialised scientific software, then refine those problems through iterative testing.
Key Responsibilities
Computational Physics Problem Design
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Create original graduate-level problems in particle and nuclear physics
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Develop tasks based on realistic research and computational workflows
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Design multi-step problems requiring genuine scientific reasoning rather than straightforward calculation
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Construct reproducible tasks with clearly defined inputs, outputs, and validation criteria
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Refine problem difficulty based on testing and feedback
Particle Physics Analysis
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Develop computational tasks involving particle physics data analysis
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Work with scikit-hep and related high-energy physics Python tools
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Design problems involving cross-section calculations and collider observables
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Develop workflows requiring interpretation of simulated or experimental particle-physics data
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Apply practical knowledge of numerical and statistical analysis used in modern particle physics
Nuclear & High-Energy Physics Modelling
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Create tasks grounded in computational nuclear and high-energy physics
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Develop problems involving interaction models, numerical calculations, and simulation workflows
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Apply research-level understanding of theoretical and computational methods
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Design scenarios requiring interpretation of partial numerical or simulated results
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Incorporate realistic scientific assumptions and constraints
QCD & Renormalisation Calculations
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Develop problems involving perturbative QCD where relevant
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Work with renormalisation-group calculations and scale-dependent quantities
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Create tasks requiring careful interpretation of theoretical assumptions and numerical outputs
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Evaluate whether computational approaches are physically and mathematically appropriate
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Incorporate edge cases that test deeper understanding of the underlying physics
Monte Carlo & Collider Workflows
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Design problems involving Monte Carlo event generation where relevant
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Apply experience with collider phenomenology and event-level analysis
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Create tasks requiring strategic simulation choices or parameter exploration
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Interpret outputs from event-generation and analysis workflows
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Develop scenarios where efficient experimental or computational planning is required
Scientific Programming & Validation
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Write computational problem setups, oracle functions, and solution validators
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Use Python to implement reproducible scientific workflows
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Verify numerical answers and expected outputs independently
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Identify solver limitations, numerical edge cases, and implementation failures
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Document assumptions, parameters, dependencies, and expected results clearly
Problem Testing & Refinement
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Test computational tasks against advanced AI systems
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Analyse whether problems appropriately distinguish strong scientific reasoning from superficial pattern matching
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Identify tasks that are too easy, ambiguous, or computationally impractical
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Refine prompts, constraints, and expected outputs until the target difficulty is achieved
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Ensure tasks remain scientifically accurate and objectively assessable
Ideal Profile
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Master's degree, PhD, or equivalent research experience in Particle Physics, Nuclear Physics, High-Energy Physics, Computational Physics, or a closely related field
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Strong hands-on experience with computational tools used in particle or nuclear physics
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Demonstrated proficiency with scikit-hep or comparable specialised scientific software
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Experience applying computational methods to real research or professional problems
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Strong understanding of particle physics data analysis, cross-section calculations, or related numerical workflows
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Knowledge of renormalisation-group methods or perturbative QCD is highly valued
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Experience with Monte Carlo event generation or collider phenomenology is advantageous
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Strong Python programming skills
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Comfortable working in Linux and terminal-based environments
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Ability to design rigorous computational problems and independently verify their solutions
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Research publications, open-source contributions, or substantial professional scientific computing experience are highly valued
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Experience with scientific teaching, problem-set design, or computational reproducibility is advantageous
Engagement Details
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Part-time independent contractor engagement
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Fully remote
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Expected commitment of at least 15–20 hours per week
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Flexible scheduling based on project requirements
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Compensation: $60–$90/hour
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Work involves computational problem design, scientific validation, and iterative task refinement
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Projects may be extended, shortened, or concluded based on project needs and performance
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Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
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H1-B and STEM OPT support is unavailable for this engagement
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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