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Specialised Part-Time Consulting OpportunityWe are sharing a specialised part-time consulting opportunity for computational structural and mechanical engineering professionals with graduate-level expertise in numerical simulation, finite-element analysis, computational mechanics, and scientific software.

This role supports the development of advanced AI benchmarks for research-level computational engineering. Selected experts will design original technical problems that require AI systems to use real scientific software, execute simulations, interpret numerical results, plan computational experiments, and reason through complex engineering workflows.

Key ResponsibilitiesComputational Engineering Problem DesignCreate original graduate-level problems in structural, mechanical, thermal, and computational engineeringDevelop tasks based on realistic scientific and engineering workflowsDesign problems that require multi-step numerical reasoning rather than simple formula applicationConstruct tasks with clearly defined setups, expected outputs, and objective validation criteriaRefine problem difficulty based on model performance and evaluation resultsFinite-Element & Structural MechanicsDevelop computational problems involving beam, plate, and shell analysisWork with linear and nonlinear elasticity, continuum mechanics, and solid mechanicsDesign tasks using finite-element and variational formulationsIncorporate mesh refinement, convergence studies, and numerical verificationApply theories such as Euler–Bernoulli and Timoshenko beam formulations where relevantScientific Simulation & Numerical MethodsBuild problems requiring specialised open-source scientific softwareApply finite-element, finite-volume, Galerkin, PDE discretisation, and related numerical methodsDevelop tasks involving constitutive modelling, numerical linear algebra, and nonlinear solution techniquesEvaluate numerical stability, convergence, accuracy, and modelling assumptionsCreate workflows that reflect genuine computational research practiceMechanical, Thermal & Multiphysics ModellingDesign tasks involving computational fluid dynamics and fluid mechanicsDevelop thermal-fluid, heat-transfer, and mass-transfer simulationsCreate problems involving thermodynamics, combustion, and HVAC or thermal systemsWork with coupled multiphysics simulations and engineering system modelsDevelop optimisation, reliability, and manufacturing-simulation problems where relevantScientific Software & Solver WorkflowsApply hands-on expertise with tools such as FEniCSx/DOLFINx, scikit-fem, OpenFOAM, deal. II, MFEM, MOOSE, CalculiX, Elmer FEM, Code_Aster, SfePy, FiPy, Devito, Cantera, CoolProp, Pyomo, or SimPyDevelop problem setups and reference solutions using domain-specific computational toolsWork with other open-source structural, mechanical, and scientific solver frameworks where appropriateDiagnose solver limitations, numerical edge cases, and implementation failure modesUse Python and, where relevant, C, C++, or Fortran-based scientific codesAI Benchmark DevelopmentTest computational problems against advanced AI systemsAnalyse whether models can correctly execute scientific workflows and interpret resultsDesign tasks where models must strategically choose simulations, measurements, or queriesCreate challenges where hidden information must be inferred from partial computational resultsIteratively adjust tasks until they achieve the intended level of difficulty and discriminationValidation & ReproducibilityWrite reference implementations, oracle functions, and solution validatorsVerify that benchmark answers are numerically and scientifically correctEnsure computational tasks are reproducible across controlled environmentsDocument assumptions, parameters, boundary conditions, and expected outputs clearlyWork within Linux-based and remote computational environmentsIdeal ProfileMaster's degree, PhD, or equivalent research experience in Mechanical Engineering, Structural Engineering, Computational Engineering, Applied Mechanics, or a closely related STEM disciplineStrong hands-on experience with computational structural or mechanical engineering softwareProven proficiency with at least one relevant open-source scientific computing or simulation frameworkProfessional or research experience using numerical methods to solve real engineering problemsStrong understanding of finite-element analysis, computational mechanics, PDE-based modelling, or related numerical disciplinesStrong Python programming skillsAbility to develop computational setups, reference solutions, and automated validatorsComfortable working in Linux and terminal-based environmentsAbility to diagnose numerical edge cases, solver failures, and modelling limitationsResearch publications, open-source contributions, or substantial professional simulation work are highly valuedExperience across multiple computational engineering tools or disciplines is advantageousFamiliarity with benchmark design, scientific teaching, or advanced problem-set development is beneficialExperience with computational reproducibility or containerised environments is advantageousEngagement DetailsPart-time independent contractor engagementFully remoteExpected commitment of at least 15–20 hours per weekFlexible scheduling based on project requirementsCompensation: $60–$75/hourWork involves computational task design, validation, and AI benchmark developmentProjects 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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