Fully Funded Master’s & PhD Opportunities in Generative AI & Computer Vision at UTAR, Malaysia! Monthly stipend provided.

Company Description Universiti Tunku Abdul Rahman (UTAR) is one of Malaysia’s fastest-growing private universities, established in 2002 and now enrolling over 20,000 students across its Kampar (Perak) and Bandar Sungai Long (Selangor) campuses. UTAR offers 129 academic programs ranging from Foundation to Bachelor’s, Master’s, and PhD degrees in diverse disciplines, including Engineering, Information and Communication Technology, Life and Physical Sciences, and Medicine and Health Sciences. The university has produced more than 72,000 graduates since 2005 and is recognized for its strong academic standards and industry-relevant curriculum. UTAR was awarded self-accreditation status by the Malaysian Qualifications Agency (MQA) under the Ministry of Higher Education in 2017, underscoring its commitment to quality education and research.Role Description This is a full-time, on-site postgraduate research opportunity based in Kampar, Perak, offering fully funded Master’s and PhD positions in Generative AI and Computer Vision with a monthly stipend. Candidates will conduct original research in areas such as deep learning, generative models, and visual recognition, design and implement experiments, and develop prototypes or algorithms that contribute to cutting-edge applications. Daily responsibilities include literature review, data collection and preprocessing, model development and evaluation, documentation of research findings and preparation of publications for conferences and journals. Candidates will collaborate with supervisors and research teams, participate in seminars and lab meetings and may support teaching, mentoring, or outreach activities related to AI and computer vision.QualificationsStrong foundation in computer science, electrical/electronic engineering, data science, or a closely related field, with a relevant Bachelor’s degree (for Master’s entry) or Master’s degree (for PhD entry).Knowledge of machine learning and deep learning, including experience with neural networks, model training, and evaluation for vision or generative tasks.Proficiency in programming (e.g., Python, C++), and familiarity with AI frameworks such as TensorFlow or PyTorch.Ability to conduct independent research: literature review, problem formulation, experiment design, data analysis, and scientific writing.Strong analytical and mathematical skills, particularly in linear algebra, probability, statistics, and optimization relevant to AI and computer vision.Effective written and verbal communication skills in English, with the ability to present research clearly and contribute to publications.Demonstrated motivation for postgraduate study, ability to work collaboratively in a multidisciplinary team, and openness to learning new methods and tools.Prior research experience, peer-reviewed publications, or project work in generative AI, computer