Quick Overview
- CategoryOther Opportunities
- LocationKathmandu
- Job TypeFull Time
- EducationMaster's degree
- Deadline2026-10-31
Required Skills
Job Description
Key Responsibilities
Design, develop, and implement state-of-the-art computational geometry algorithms for acoustic simulation applications.
Lead the creation, refinement, and optimization of high-quality volumetric meshes, including tetrahedral and hexahedral meshes, for complex geometric models.
Research and implement novel techniques for mesh generation, mesh adaptation, and geometric processing to improve simulation accuracy and computational efficiency.
Collaborate closely with acoustic engineers, computational scientists, and software developers to integrate geometric solutions into simulation platforms.
Analyze the performance of geometric algorithms and identify opportunities for optimization, scalability, and parallelization.
Develop robust and scalable solutions for handling complex geometric and computational challenges.
Contribute to technical research, algorithm design, prototyping, testing, and production implementation.
Maintain high standards of code quality, documentation, testing, and algorithmic reliability.
Required Qualifications & Experience
Master's or Ph.D. in Computer Science, Applied Mathematics, Computational Geometry, or a closely related field.
5+ years of professional experience in computational geometry, with a strong focus on simulation, CAD/CAM, or related fields.
Deep expertise in
Computational geometry algorithms
Geometric data structures
Numerical methods
Mesh generation and processing
Proven experience with
Volumetric mesh generation
Mesh quality metrics
Mesh adaptation strategies
Complex geometric modeling and processing
Exceptional proficiency in C++ programming.
Experience with relevant libraries and frameworks such as
CGAL
OpenVDB
Eigen
Familiarity with acoustic simulation, wave propagation, or numerical simulation principles is highly desirable.
Experience with parallel computing technologies such as OpenMP, MPI, or CUDA for large-scale computational geometry problems.
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