Scientific Forming Technologies Corporation, a world leader in the process simulation of material forming processes, has the following job positions available:

• Job Title: Research Scientist
• Job Description: Design and develop engineering simulation methodologies for geometry preparation and finite element meshing to support metal forming analyses and ensure accurate simulation results. Apply mechanical engineering and mesh generation principles to enhance user workflows by developing and maintaining tools in C++, and Qt across Windows and Linux. Improve the robustness and performance of the in-house polygon-based geometry engine (PolyBREP) by integrating open-source collision detection libraries (OPCODE) and optimizing bucket-based spatial data structures for high-performance node and line searching. Develop algorithmic detection and repair methods for geometric flaws—including stitching free edges, filling holes, and fixing zone boundaries—and implement advanced operations such as geometry trimming, Boolean, offsetting, triangulation, and defeaturing to ensure high-fidelity mesh suitability for FEA. Develop hexahedral and tetrahedral mesh structures with variable density in deformation-critical regions using boundary-curvature, point-based, or window-based strategies to improve finite element simulation accuracy. Utilize Design of Experiments (DOE) simulations to analyze the thermo-mechanical effects of clearance and temperature on adiabatic blanking; investigate localized shear deformation and material failure modes to improve predictive modeling accuracy. Use OpenGL for visualization and geometric data extraction; employ Open Cascade for DXF digitization and geometry processing; maintain in-house STL reading capabilities for managing input tolerances. Define geometry pre-processing methodologies based on user requirements and present technical specifications in semiannual user group meetings to align engineering and manufacturing objectives.
• Requirements: Master’s Degree in Mechanical Engineering, Computer Science, or related field. Knowledge of or expertise in the following concepts and principles, as demonstrated by 6 graduate credit hours, graduate thesis research, or 6 months of full-time experience in each of the following four areas, is required:
  • Use of algorithms and data structures for geometric data processing or engineering simulation;
  • C/C++ programming across Windows and Linux platforms, utilizing professional version control systems such as Git, CVS, and Perforce or similar system;
  • Use of numerical libraries or visualization tools to programmatically process engineering datasets;
  • Application of mathematical principles to support the accuracy and reliability of computational engineering models.

Qualified candidates may contact SFTC by email.