Civil & Structural Engineering with PhD (AI Evaluation)

• Review engineering tasks thoroughly, including problem statements, models, load cases, simulation data, and automated tests.
• Validate tasks in areas such as structural analysis, finite-element analysis, earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure.
• Ensure tasks involve complex, multi-step engineering reasoning and reflect real-world workflows.
• Check technical correctness regarding units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.
• Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility.
• Review automated grading systems to confirm they assess meaningful engineering results like forces, deflections, settlements, and flow rates.
• Provide technical feedback, track task revisions, mentor and support a team of 5–10 trainers, allocate work, monitor quality, and resolve technical issues.
• Establish and maintain quality standards, technical documentation, and best practices for task development.

• Hold a PhD, postdoctoral experience, or equivalent advanced expertise in Civil, Structural, or Geotechnical Engineering or a closely related field.
• Have strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave.
• Be proficient in Linux and command-line environments.
• Possess hands-on expertise in at least one key area such as structural analysis, finite-element analysis, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling.
• Understand engineering principles, numerical methods, simulation workflows, and computational model validation.
• Be familiar with engineering design standards like ASCE 7, ACI, AISC, Eurocodes, or IS codes.
• Have experience reviewing complex technical work, simulations, research, or computational models.
• Demonstrate strong analytical judgment to identify engineering inaccuracies and edge cases.
• Have experience mentoring, reviewing, or leading small technical teams.
• Possess excellent written communication skills for providing technical feedback and documentation.

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