The School of Chemistry, Chemical Engineering and Biotechnology invites applications for the position of Research Associate in Prof Yin Xunyuan’s group.
The Research Associate will take on a significant role in machine learning enabled optimal design and efficient operation for blended-amine CO2 capture.
Key Responsibilities:
The Research Associate will work together with R&D team to conduct the following tasks:
- 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:
- Master’s 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 oral and written communication skills, with the ability to effectively engage with a diverse range of individuals and professional groups, primarily in English.
We regret to inform that only shortlisted candidates will be notified.
