Research Engineer (AI for Porous Materials)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-for-Porous-Materials%29/33541-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

• Apply AI/ML models and screening algorithms for the accelerated design and structural discovery of novel porous materials (e.g., MOFs/COFs)
• Conduct laboratory synthesis, activation, and optimization of the computationally predicted porous frameworks
• Evaluate CO2 capture performance through experimental gas adsorption isotherms and breakthrough separation testing
• Manage data pipelines between computational and experimental workflows to support closed-loop project deliverables.

Qualifications

• Bachelor's or Master's degree in Chemical Engineering, Materials Science, Chemistry, or computational disciplines with relevant research experience
• Practical experience in programming (e.g., Python) and applying AI frameworks or molecular simulations to materials discovery
• Hands-on experience in the synthesis and characterization of porous materials using techniques like PXRD, BET, and TGA
• Solid understanding of gas adsorption fundamentals and execution of gas separation performance evaluations.