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Jobfoundry
A*STAR

Senior Development Scientist, DMD,ARTC

A*STAR
ResearchSingaporeFull-time2 weeks ago
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About the role

AI summarised

Senior Development Scientist role at ARTC's Digital Supply Chain Group, focusing on supply chain innovation using advanced data analytics, Generative AI, and state-of-the-art AI. The role involves leading technical projects, developing algorithms, and securing industry projects and research grants.

ResearchFull-time

Key Responsibilities

  • Deliver tangible outcomes in technical projects: e.g: Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems.
  • Implement state-of-the-art approaches and bring them to industry-readiness status.
  • Lead technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.
  • Continuously develop personal technical skillsets to ensure technical relevance.
  • Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
  • Abide by software development processes and procedures to ensure high quality of deliverables.
  • Assist in securing industry projects and research grants through stakeholder engagements.

Requirements

  • Good interpersonal and communication (verbal & written) skills.
  • Doctoral degree in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.
  • Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.
  • Strong scientific programming background (e.g. Python, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).
  • Prior experience with supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
  • A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.