Remote | Particle Physics & Nuclear Simulation Expert — $60–$90/hour

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