The Centre for Intelligent Signal and Imaging Research (CISIR) at Universiti Teknologi PETRONAS, Malaysia, is offering a PhD studentship in Engineering and Applied Mathematics with a focus on neurotechnology and biomedical image analysis. The center is a national leader in neuro-imaging for biomedical applications, addressing challenges such as supporting autistic children, workforce health, and aging populations. Research topics include EEG-based neurofeedback for early autism detection, EEG combined with VR/AR for workplace critical situations, and EEG with eye tracking for early cognitive decline detection. Applicants should have a strong academic background, holding a Bachelor's degree with a CGPA of at least 3.25/4.00 and a Master's degree in Engineering or a related field. Preferred candidates will have expertise in signal and image processing, statistical analysis, electrophysiological data acquisition (such as EEG, fNIRS, fMRI), VR/AR, and deep learning. Proficiency in English is required, with a minimum IELTS score of 6.5 overall. Candidates should also demonstrate research competency, publication experience, and the ability to assist with research reporting. The studentship offers a monthly stipend of RM 3,000 and opportunities to attend conferences and short courses. Interested applicants should send their CV, academic transcripts, and a cover letter detailing their expertise and research interests to Dr Rumaisa Hasan at [email protected]. The application deadline is Sunday, 1 February 2026. This opportunity is ideal for students interested in biomedical engineering, computer science, neuroscience, and electrical engineering, particularly those passionate about neurotechnology and its applications in healthcare and cognitive science.

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.