Decentralised Task Allocation in Multi-Agent Systems under Uncertainty
Aston UniversityBirmingham, United Kingdom
Course overview
Design next-generation AI for coordinating intelligent systems under uncertainty. This PhD tackles a core challenge in multi-agent systems: how autonomous agents coordinate task allocation under limited information.
Key highlights
- Research focus on coordinating autonomous agents with limited information
- Tackles decentralised task allocation, a core multi-agent systems challenge
- Designs next-generation AI for intelligent systems under uncertainty
Entry requirements
- IELTS: 6.5 — 6.5 IELTS 6.5 overall (component minima vary by programme; see university English-language requirements)
Careers this course leads to
- AI research scientist
- Multi-agent systems researcher
- Robotics and autonomous systems engineer
- Postdoctoral research associate
- Machine learning engineer
- University lecturer in computer science
Admission
Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Aston University, and guide you through interview, offer, CAS and visa — right up to enrolment.
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