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Research Fellow (Self Driving Lab for Materials Discovery)

Nanyang Technological University Singapore

SingaporeFull-timeOn-site

Posted 11 Jun 2026

About this role

Integrate an agentic platform and develop machine-learning algorithms for electrocatalyst discovery and process optimization. Build end-to-end closed-loop workflows connecting instruments, IoT devices, and AI agents. Requires a Ph.D. in Computer Science, Electrical Engineering, Robotics, Chemical Engineering, Mechanical Engineering, or a related field. Must have strong Python skills and practical experience in ML, RL, and hardware-software integration.

What they're looking for

PythonHardware IntegrationMachine LearningReinforcement LearningLLM AgentsRoboticsDockerLinux

Frequently asked questions

What does a Research Fellow (Self Driving Lab for Materials Discovery) at Nanyang Technological University Singapore do?

Integrate an agentic platform and develop machine-learning algorithms for electrocatalyst discovery and process optimization. Build end-to-end closed-loop workflows connecting instruments, IoT devices, and AI agents. Requires a Ph.D. in Computer Science, Electrical Engineering, Robotics, Chemical En…

What skills does this Research Fellow (Self Driving Lab for Materials Discovery) role need?

Key skills for this role include Python, Hardware Integration, Machine Learning, Reinforcement Learning, LLM Agents, Robotics.

How much does a Research Fellow (Self Driving Lab for Materials Discovery) at Nanyang Technological University Singapore pay?

The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.

Is this Research Fellow (Self Driving Lab for Materials Discovery) role remote, hybrid, or on-site?

This role is on-site, based in Singapore.

How do I apply for this Research Fellow (Self Driving Lab for Materials Discovery) role?

You can apply directly on Nanyang Technological University Singapore's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.