Job Description

Virtual Manufacturing Group is searching for Development Scientist who will lead and support projects on Med-Tech, Manufacturing and Supply Chain Logistics, among other industries from a data driven approach.

Responsibilities:
1.Take a data-driven approach to develop a sustainable manufacturing/supply chain evaluation framework by integrating operational research solutions, heterogeneous enterprise systems and bespoke solutions, to increase resiliency, flexibility, and sustainability of manufacturing and supply chains operations.
2.Understand data requirements to design and implement the industrial data management system for digital twin and sustainability applications.
3.Create APIs and web apps using agile methodologies, launching proofs of concept that translate academic research into real world applications.
4.Develop a deep understanding of the sustainability challenges faced by MNCs and SMEs in the manufacturing and supply chain domains.
5.Evangelize the Singapore public-private ecosystem on ARTC\'s virtual and physical testbeds for smart and sustainable manufacturing and supply chain domains.
Job requirements
?Doctoral/ Master degree in Mechanical engineering, Computer science, Electronics, Electrical or Network engineering.
?Excellent publication track record in Industry 4.0-related topics, e.g., machine learning/deep learning, robotics, additive manufacturing, etc.
?Strong modelling, analytical and problem-solving skills using machine learning techniques.
?Strong programming abilities in modern machine learning frameworks, e.g., TensorFlow/Pytorch.
?Experience with operational research and data-driven optimization, e.g., mixed integer programming/metaheuristics/deep learning learning-based discrete optimisation for supply chain demand planning/inventory positioning/ planning & scheduling/ vehicle routing
?Experienced in mainstream deep learning framework (e.g. PyTorch, TensorFlow) will be great plus points
?Team player and good in interpersonal and communication (verbal & written) skills.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
Type of Employment : Full-Time
Work Location : 3 Cleantech Loop