Universiti Teknologi PETRONAS (UTP) is offering a Graduate Research Assistantship for a PhD position focused on the project "Intelligent Algorithm for Enhanced Photothermal Catalyst Design in C2 Hydrocarbon Production from CO2." This opportunity is ideal for candidates with a strong background in engineering, particularly chemical engineering, materials science, or computer science, and an interest in applying intelligent algorithms and machine learning to catalyst design and CO2 conversion processes.

The research assistantship is funded by the YUTP-FRG Research Grant, providing a monthly stipend of RM2300. The funding is available from now until May 2028, making it a long-term opportunity for doctoral research. Applicants should possess a Bachelor's degree in a related engineering discipline, be able to start immediately, and demonstrate self-motivation, target orientation, and the ability to work both independently and collaboratively. Strong communication and writing skills in English are essential, and experience in machine learning is considered a significant advantage.

The project aims to develop advanced photothermal catalysts using intelligent algorithms to enhance the production of C2 hydrocarbons from CO2, addressing key challenges in sustainable energy and chemical engineering. The research will be supervised by AP IR DR OH PEI CHING, and interested candidates are encouraged to send their resumes directly to [email protected]. This position offers a unique opportunity to contribute to cutting-edge research in catalyst design, machine learning applications in engineering, and sustainable chemical production at a leading Malaysian university.

For more details, applicants can refer to the LinkedIn post by Muhammad Amir Khalil, Assistant Professor at the University of Management and Technology, Lahore, Pakistan, who shared this opportunity. Ensure your application highlights relevant engineering and machine learning experience, and be prepared to start immediately if selected.