Computational Mechanics Benchmark Designer (PhD)

Mercor

New York (NY)

On-site

USD 83,000 - 165,000

Full time

14 days+

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Job summary

Mercor seeks a Computational Structural & Mechanical Engineering Expert to design graduate-level computational problems using open-source tools like FEniCSx, OpenFOAM, and more. You will craft challenging, research-style tasks that require multi-step workflows, simulations, and strategic experimentation to reveal hidden information from data.

You’ll test problems against cutting-edge AI models, iteratively refining difficulty and ensuring rigorous numerical engineering workflows across

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries, shown through publications, open-source contributions, or professional work.
  • Strong Python skills - you'll be writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15-20 hours per week.

Responsibilities

  • Create problems requiring skilled use of specialized scientific software.
  • Design problems that require multi-step workflows and strategic planning to uncover information.
  • Test problems against state-of-the-art AI models and refine them until target difficulty is achieved.
  • Contribute to domains like finite-element analysis, CFD, multiphysics, and thermophysical-property calculations.

Skills

Python
FEniCSx/DOLFINx
OpenFOAM
Finite-element methods
Problem-design

Education

MS/PhD in STEM or equivalent

Tools

FEniCSx/DOLFINx
OpenFOAM
deal.II
MFEM
CalculiX
Elmer FEM
Code_Aster
SfePy
FiPy
Devito
Cantera
CoolProp
Pyomo
SimPy

Job description

Mercor seeks a Computational Structural & Mechanical Engineering Expert to design graduate-level computational problems using open-source tools like FEniCSx, OpenFOAM, and more. You will craft challenging, research-style tasks that require multi-step workflows, simulations, and strategic experimentation to reveal hidden information from data.

You’ll test problems against cutting-edge AI models, iteratively refining difficulty and ensuring rigorous numerical engineering workflows across

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