Karl McCreadie
9 months ago
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PhD Scholarships in Intelligent Systems, AI, and Robotics at Ulster University Ulster University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
The scholarships cover tuition fees and provide a maintenance stipend. Structured doctoral training and expert supervision are included. Both funded and self-funded PhD studentships are available. Exact stipend amount and further financial details are available on the university website.
Deadline
Expired
Country
United Kingdom
University
University of Ulster
Suggested positions
Keywords
About this position
Ulster University is offering a number of funded PhD scholarships in Intelligent Systems, with research areas including artificial intelligence, machine learning, robotics, data analytics, and human–computer interaction. These opportunities are ideal for applicants with a strong background in computer science or related fields who are interested in pursuing advanced research in a vibrant, interdisciplinary environment. The scholarships provide full tuition coverage and a maintenance stipend, along with structured doctoral training and expert supervision from experienced faculty such as Lecturer Karl McCreadie. Both funded and self-funded PhD studentships are available, and applicants can find detailed project listings and application instructions on the Ulster University Doctoral College website. The application deadline is 27 February 2026 for entry in September 2026. Candidates should have a relevant undergraduate or master's degree and may need to meet additional requirements such as English language proficiency. This is an excellent opportunity to join a leading research institution and contribute to cutting-edge developments in intelligent systems, AI, and robotics.
Funding details
The scholarships cover tuition fees and provide a maintenance stipend. Structured doctoral training and expert supervision are included. Both funded and self-funded PhD studentships are available. Exact stipend amount and further financial details are available on the university website.
What's required
Applicants should have a strong academic background in computer science, artificial intelligence, robotics, data analytics, human–computer interaction, or related fields. Final-year students, graduates, or those with equivalent qualifications are encouraged to apply. Specific entry requirements may include a relevant undergraduate or master's degree with a good academic standing. Additional requirements such as English language proficiency or specific technical skills may apply as per university guidelines.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Lecturer
United Kingdom
Research Interests
Artificial Intelligence
Neuropsychology
Computer Science
Data Science
Human Movement
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.