Research Fellow (Chemical Engineering/Material Science/Chemistry/Environmental Engineering)

Nanyang Technological University; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

A leading educational institution in Singapore is seeking a full-time Research Fellow to work within the R&D team. The role involves developing machine learning models, optimizing carbon capture processes, and reporting project updates. A PhD in engineering and experience in machine learning and dynamic modeling are essential. Effective communication in English is required, and candidates with knowledge of carbon capture are preferred.

Qualifications

• PhD degree in a relevant engineering field.
• Experience in dynamic modeling and machine learning.
• Knowledge in carbon capture is preferable.

Responsibilities

• Develop new machine learning modeling approaches.
• Create advanced control and optimization algorithms.
• Optimize carbon capture process operation.
• Provide regular project updates to principal investigator.
• Prepare report writing and presentations.

Skills

Dynamic modeling

Machine learning

Optimization & controls

Effective communication

Education

PhD degree in an engineering field

Job description

The School of Chemistry, Chemical Engineering and Biotechnology is seeking for a full-time Research Fellow.

The Research Fellow will work together with R&D team to conduct the following tasks.

Key Responsibilities

• Development of new machine learning modeling approaches
• Development of new advanced control and optimization algorithms
• Optimization of carbon capture process operation
• Provide regular project updates to principal investigator and funding agency
• Report writing/presentation

Job Requirements

• PhD degree in an engineering field related to this project
• Experience in dynamic modeling, machine learning and optimization & controls
• Having basic knowledge in carbon capture, utilisation and storage (preferable)
• Good command of English, both oral and written with ability to communicate effectively with a wide range of individual and professional groups

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU