Qasim Malik
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Fully Funded PhD in Computer Science: Efficient ML, Neuromorphic AI, Robotics, and Healthcare AI at Walailak University Walailak University in
I am recruiting a fully funded PhD student in Computer Science focusing on efficient ML, neuromorphic AI, robotics, and healthcare AI at Walailak University.
Walailak University
Walailak University
Jan 15, 2026
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Description
Walailak University is offering a fully funded PhD program in Computer Science, starting in Fall 2026. The research focus areas include efficient machine learning and brain-inspired neuromorphic AI, such as spiking neural networks and ANN–SNN hybrids, as well as event-based vision. Additional topics cover embodied and multimodal AI for agents and robotics, with a particular emphasis on computer vision, and the application of AI in healthcare, including imaging, surgical video analysis, time-series data, and electronic health records (EHR) or text data.
The ideal candidate will have a background in Computer Science, Electrical and Computer Engineering, or related fields. Strong skills in deep learning, especially with PyTorch, and experience in robotics or embedded systems are highly desirable. The position is an excellent opportunity for those enthusiastic about building a new lab from the ground up and contributing to cutting-edge research in AI and robotics.
The program is fully funded, though specific details about the stipend or tuition coverage are not provided. The priority deadline for applications is January 15th, 2026. Interested candidates should review the research directions and expectations at the provided link and follow the application instructions.
For more information, you can connect with Professor Qasim Malik, who is leading this opportunity, via his LinkedIn profile. This PhD opening is ideal for students passionate about machine learning, neuromorphic computing, robotics, and healthcare applications of AI.
Funding
The position is fully funded. No specific stipend amount or tuition coverage details are provided.
How to apply
Review the research directions and expectations at the provided link. Prepare your application materials as described. Apply by the priority deadline of January 15th, 2026. Follow the instructions on the linked application page.
Requirements
Applicants should have a background in Computer Science, Electrical and Computer Engineering, or related fields. Strong deep learning skills, preferably with PyTorch, experience with robotics or embedded systems, and enthusiasm for building a new lab are required. No specific GPA or language test requirements are mentioned.
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