Development Scientist, Digital Supply Chain, ARTC

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

Job summary

An innovative organization is seeking a Senior Development Scientist to spearhead projects in Supply Chain innovation using cutting-edge data analytics and AI technologies. This role involves developing bespoke algorithms to solve complex optimization challenges, leading research in Generative AI, and ensuring the delivery of high-quality outcomes. The ideal candidate will possess a strong background in scientific programming and algorithm design, along with domain knowledge in various operational contexts. Join a forward-thinking team dedicated to advancing the future of supply chain solutions and making a significant impact in the industry.

Qualifications

• Strong skills in mathematical problem definition and algorithm design.
• Prior experience with supply chain optimization is preferable.
• A publication track record in Industry 4.0-related topics.

Responsibilities

• Develop algorithms for Supply Chain optimization and prediction problems.
• Lead technical efforts in data analytics and AI research.
• Assist in securing industry projects and research grants.

Skills

Statistical Analysis

Neural Network Frameworks

Generative Adversarial Networks (GANs)

Natural Language Processing

Data Generation and Augmentation

Hyperparameter Tuning

Scientific Computing

Algorithm Design

Education

Doctoral degree in Computer Engineering

Doctoral degree in Computer Science

Doctoral degree in Supply Chain Analytics

Doctoral degree in Business Analytics

Tools

Python

C

C++

TensorFlow

PyTorch

Scikit-learn

Job description

Digital Supply Chain Group of the Resilient Value Chain 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:

1. 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.
2. Lead technical efforts in data analytics, Generative AI, and SOTA AI research: provide 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.
3. Continuously develop personal technical skillsets to ensure technical relevance.
4. Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.
5. Adhere to software development processes and procedures to ensure high quality of deliverables.
6. 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 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 optimization (e.g., fleet planning, network design, scheduling) is preferable.
• A publication track record in Industry 4.0-related topics, e.g., Gen-AI, optimization, machine learning/deep learning, etc.