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Specialised Part-Time Consulting Opportunity for PhD-Level PhysicistsWe are sharing a specialised part-time consulting opportunity for PhD-level physicists with strong scientific computing and programming expertise across multiple areas of modern physics.

This role focuses on designing original, executable research problems grounded in authentic scientific workflows. Selected experts will develop challenging computational physics tasks, build rigorous grading criteria, test them against advanced models, and refine them until they require genuine research-level scientific and computational reasoning.

Key ResponsibilitiesScientific Problem DesignDevelop original, research-level computational physics problemsBuild tasks from published papers, public datasets, open-source repositories, or independently designed scientific scenariosCreate problems requiring multi-step numerical, analytical, and computational reasoningEnsure tasks reflect realistic scientific research workflows rather than textbook exercisesDesign problems with clearly defensible and reproducible solutionsComputational Physics WorkflowsDevelop executable tasks involving scientific programming and numerical analysisApply computational methods appropriate to the underlying physics problemBuild tasks requiring interpretation of simulation outputs, numerical results, or scientific datasetsIncorporate realistic modelling assumptions, boundary conditions, and computational constraintsValidate that problems can be solved reproducibly in the intended environmentPhysics Domain ExpertiseDevelop tasks drawing on expertise across at least two of the following areas: Condensed matter physicsOpticsQuantum information and quantum computingComputational physicsAstrophysicsParticle physicsApply graduate-level theoretical and computational knowledge to task constructionIncorporate domain-specific edge cases, modelling challenges, and scientific reasoningEnsure prompts require genuine subject-matter depth rather than surface-level recallScientific ProgrammingWrite and validate scientific code using Python, R, or another relevant programming languageDevelop computational setups, reference calculations, and validation scriptsDebug numerical or implementation issues during task developmentEnsure code and scientific outputs remain consistent with the intended problem specificationProduce reproducible computational workflows suitable for automated testingEvaluation Criteria & Reference SolutionsDefine clear criteria describing what constitutes a correct scientific solutionDevelop authoritative reference outputs and supporting calculationsIdentify essential reasoning steps, numerical results, and scientific assumptionsCreate grading logic capable of distinguishing correct solutions from plausible but flawed approachesEnsure evaluation criteria remain precise enough for consistent assessmentTask Testing & CalibrationTest problems against advanced computational systemsAnalyse failure modes and determine whether tasks require sufficient scientific depthRefine prompts, inputs, and expected outputs based on testing resultsAdjust difficulty while preserving scientific validity and reproducibilityFinalise tasks only when they reliably differentiate strong from weak scientific reasoningResearch Engineering WorkflowWork through a Git/GitHub pull-request workflowRun and validate code in Docker-based environmentsRespond to automated quality checks and reviewer feedbackMaintain clean, reproducible code and supporting documentationCollaborate with scientific and technical reviewers throughout task developmentIdeal ProfilePhD required in Physics, Applied Physics, or a closely related fieldDemonstrated expertise in at least two relevant physics subdomains, such as condensed matter, optics, quantum information/computing, computational physics, astrophysics, or particle physicsStrong working proficiency in Python, R, or another scientific programming languageHands-on experience using code for scientific research, numerical modelling, simulation, or data analysisComfortable with Git/GitHubAble to work with Docker and containerised computational environmentsStrong understanding of reproducible scientific computingAbility to translate advanced research concepts into clearly specified computational problemsPeer-reviewed scientific publications are advantageousPrior experience in scientific software, computational research, or research engineering is highly valuedStrong written communication and ability to document scientific assumptions and solutions preciselyEngagement DetailsPart-time independent contractor engagementFully remote20+ hours per weekInitial duration of approximately 6 weeksImmediate startCompensation: Up to $60/hourWork includes scientific problem design, coding, reference-solution development, evaluation criteria, testing, and task refinementProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementAbout the PlatformThis 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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