Senior Engineer – FEA Structural

Job title

Senior Engineer – FEA Structural

Division:

R&T Centre, Asia

Key Responsibilities:

• Conduct finite element analysis on a variety of components and systems to evaluate structural integrity, thermal performance, and dynamic behavior.
• Develop and validate FEA models based on design requirements and specifications.
• Fluid-Structure Interaction (FSI): Integrates structural and fluid optimization to address complex interaction problems in piping systems
• Interpret and communicate analysis results to design teams and recommend design modifications as necessary.
• Collaborate with design engineers to optimize product designs for performance, manufacturability, and cost.
• Create detailed reports and documentation of analysis methodologies, assumptions, results, and recommendations.
• Participate in design reviews and provide technical guidance on FEA-related issues.
• Develop and implement digital twin models to simulate real-world conditions and predict system behavior.
• Apply machine learning algorithms to analyze simulation data, identify patterns, and optimize design processes.
• Collaborate with design and development teams to integrate FEA, digital twin, and ML insights into product design and development.
• Create and validate predictive models to enhance product performance and reliability.
• Develop and maintain detailed documentation of analysis methodologies, simulation models, and machine learning algorithms.
• Stay updated with the latest advancements in FEA, digital twin technology, and machine learning.
• Assist in developing and implementing best practices and standards for FEA, digital twin, and ML applications.

Qualifications:

• Bachelor's degree in mechanical engineering, Aerospace Engineering, Civil Engineering, or a related field. Master’s degree preferred.
• Minimum of 3-8 years of experience in FEA analysis and simulations, digital twin development, and machine learning applications.
• Proficiency in FEA software such as ANSYS, Abaqus, NASTRAN, or equivalent.
• Strong understanding of engineering principles, materials science, and structural mechanics.
• Experience with digital twin platforms and tools.
• Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages such as Python, MATLAB, or similar.
• Experience with CAD software such as SolidWorks, CATIA, or similar.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal, with the ability to convey complex technical information clearly.
• Ability to work independently and as part of a multidisciplinary team.
• Knowledge of industry standards and regulations related to structural analysis and design.

Skills & Competencies:

• Experience in polymer analytic techniques and its failure modes
• Experience in handling highly nonlinear hyper-elastic materials 
• Experience with creep and fatigue life predictions.
• Understanding of optimization techniques and tools.
• Experience in the automotive, aerospace, or piping industry
• Knowledge in Design for Six sigma (DFSS) is an added advantage
• Experience with machine learning techniques & their application in predictive modeling.
• Experience with real-time data integration & IoT technologies
• Familiarity with cloud computing platforms (e.g., AWS, Azure) for deploying digital twin and ML solutions.