Lead/Senior Research Engineer

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A research organization in Singapore is seeking a Senior Development Scientist to lead projects in Supply Chain innovation. Responsibilities include developing advanced algorithms and implementing cutting-edge solutions using Generative AI and data analytics. Candidates should hold a doctoral degree in relevant fields and possess skills in statistical analysis and scientific programming. Ideal candidates will also have experience in supply chain optimization and a publication record in related areas.

Qualifications

• Good interpersonal and communication (verbal & written) skills.
• Strong skills in mathematical problem definition, algorithm design, scientific computing, statistical modeling, and analytics.
• Prior experience with supply chain optimization is preferable.

Responsibilities

• Deliver tangible outcomes in technical projects.
• Develop new algorithms for Supply Chain optimization.
• Implement state-of-the-art approaches for industry readiness.

Skills

Statistical Analysis

Neural Network Frameworks

Generative Adversarial Networks (GANs)

Natural Language Processing

Data Generation and Augmentation

Hyperparameter Tuning

Education

Doctoral degree in Computer Engineering, Computer Science, Supply Chain Analytics, or Business Analytics

Tools

Python

C

C++

TensorFlow

PyTorch

Scikit-learn

Job description

Digital Supply Chain Group of the Digital Manufacturing Division at the ARTC is searching for a Senior Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI.

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.

Job 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, statistical modelling 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 preferable.
• A publication track record in Industry 4.0-related topics, e.g., Gen‑AI, optimisation, machine learning/deep learning, etc.