with proven experience in developing and implementing simulation and mathematical models to support design, analysis, and optimization in engineering applications. The role requires strong analytical skills, programming expertise, and the ability to work in cross-functional teams within a fast-paced environment.
Key Responsibilities
Develop and validate
mathematical models
for engineering systems and processes.
Work with design and R&D teams to simulate product performance and provide optimization insights.
Implement models using programming tools and simulation software to support product development.
Analyze model results, identify potential improvements, and provide data-driven recommendations.
Collaborate with stakeholders to define requirements, assumptions, and constraints for modelling tasks.
Document methodologies, results, and provide clear technical reports.
Required Skills & Qualifications
Bachelor's/Master's degree in Mechanical Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or related field.
Minimum
2 years of relevant experience
in modelling, simulation, or system analysis.
Proficiency in
Matlab/Simulink, Python, C/C++, or other modelling tools
.
Strong knowledge of
mathematical and statistical modelling techniques
.
Ability to interpret complex data and present clear technical insights.
Experience in engineering domains such as
automotive, aerospace, semiconductor, or electronics
will be an advantage.
Job Types: Full-time, Permanent
Work Location: In person
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