Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.
The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.
Job Responsibilities:
- Run multiple projects in developing data science solutions to support new product development in TE
- Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
- Develop multiple algorithms powered by machine learning to work on experimental and simulation data sets
- Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
- Collaborate with multiple business units to define deliverable, requirements, and functionalities.
- Create awareness across TE of the AI modelling capabilities of the Singapore center
- Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
- Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects
Job Requirements:
- Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
- Keen interest in R&D involving coding and data
- Deep understanding of data science and machine learning (having a second degree on data science is a plus)
- Familiar with machine learning algorithms involving multiple data types
- Strong programming skill in Python or similar languages
- Broad knowledge of manufacturing processes, material and product design
- Experiences with AI applications on product design
- Experience in effective project management strategies and tactics
Preferred:
- Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
- Broad understanding of multiphysics simulation (such as FEA finite element analysis, CFD computational fluid dynamics) and CAD
- Familiarity with project management tools
