Technology group drives and supports the development and innovation of various Interiors products from the feasibility study through to a prototype development. Besides product development, the group also leads various methodology development activities within Interiors. The team is continuously engaged in projects on diverse domains like Mechanical & Electro-Mechanical designs, Structures and Fluid simulation, Interaction studies, System Engineering, Materials, Processes, and Automation etc.
Position:SeniorLead Engineer (P3)
Conduct and manage research and development projects focused on PHM and RUL estimation using ML for a variety of different application areas within Interiors.
Analyze the function and performance of electro-mechanical systems including failure modes and features contributing them using sensor fusion.
Develop models and algorithms to assess the condition and classify the health of electro-mechanical systems
Develop status and RUL dashboards using Azure data analytics tools
Research and develop advanced algorithms for image/video processing and computer vision, e.g. denoising, deblurring, HDR, detection, segmentation, etc
Develop physics-based simulation models using Simulink and Simscape to build digital twin of electro-mechanical systems and simulate faults for PHM.
Lead projects from conception to final product, as a sole contributor.
Explore the latest technologies and propose innovative ideas.
Support or lead development of technology proposals for funding.
Prepare and present / publish research results
The candidate should be comfortable with empirical lab or field work, as well as with simulation and modeling tools.
4-6 years of relevant Industry experience in PHM and Machine Learning for supervised and unsupervised learning datasets, signal processing and conditioning, Image Processing/computer vision and Deep Learning, Azure Data analytics
Bachelor's/Master's degree in Mechatronics/Electronics or closely related field.
Minimum 2-3 years of work experience related to development and implementation of PHM using ML techniques.
Expertise or experience in object-oriented, analytical programming (e. g., Python, R, Matlab) and simulation tools (Simulink and Simscape)
Deep learning for image processing and classification using Neural Networks
Experience working on Azure Data Analytics like Data Explorer, Lake Analytics, creating meaningful dashboards
Experience working on various diagnostic instrumentation and basics of NI LabView programming
Basic knowledge of electro - mechanical components like motor, actuators, electric valves, sensors such that pressure, temperature, voltage, current and data acquisition.
Clearly articulate thoughts and ideas to external and internal customers. Responsive to questions; issues; and needs in a timely manner.
Strong written and verbal communication skills
Confident presentation skills
Manage changing or shifting priorities.
Drive for results. Work effectively with cross-functional teams
Requires good judgement, planning and organizational skills
High work standards; energy; initiative; flexibility; decisiveness; and proven problem-solving skills