Zhiqi Tang
Top university
7 months ago
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PhD in Control Frameworks for Embodied Decision-Making in Multi-Robot Coordination and Task Execution The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD Project (Students Worldwide)
Deadline
Expired
Country
United Kingdom
University
The University of Manchester
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Keywords
About this position
This PhD project at The University of Manchester focuses on developing a novel control framework for embodied decision-making in multi-robot coordination and task execution. As autonomous unmanned systems become increasingly prevalent in real-world applications, the need for resilient and adaptable robotic swarms is critical for complex missions such as search-and-rescue and large-scale surveillance in dynamic, unstructured environments.
The research aims to create a hierarchical control framework that tightly integrates cognitive decision-making with physical systems control. The project will address both low-level safe coordination and high-level decision-making, ensuring that robot swarms can navigate safely and efficiently while adapting to changing internal and external conditions. The approach combines traditional model-based and modern learning-based control techniques to balance reliability, performance, and adaptability under uncertainty.
Affiliated with the Center for Robotic Autonomy in Demanding and Long-Lasting Environments (CRADLE), the candidate will collaborate with interdisciplinary teams and contribute to both theoretical innovation and practical validation. Theoretical work will leverage control theory, nonlinear dynamical systems, and formal methods, while practical validation will involve case studies on robotic platforms such as drones and ground vehicles. The project outcomes are expected to be published in leading robotics and control conferences and journals.
The ideal candidate will have a strong background in control theory, robotics, or applied mathematics, with enthusiasm for both theoretical and hands-on research. Experience with ROS and robotic platforms is advantageous. The position is open to both home and international applicants, with flexible study arrangements available.
This 3.5-year PhD studentship provides an annual tax-free stipend at the UKRI rate (£20,780 for 2025/26, subject to annual uplift) and covers tuition fees for eligible applicants. Additional faculty funding may be available for home and overseas candidates. The application deadline is April 30, 2026, but early application is recommended as the advert may be removed once filled.
Applicants should contact Dr. Zhiqi Tang before applying and must submit a complete application including transcripts, CV, supporting statement, and referee details. The University of Manchester is committed to equality, diversity, and inclusion, and encourages applicants from all backgrounds.
Funding details
Funded PhD Project (Students Worldwide)
What's required
Applicants should hold, or expect to obtain, at least an Upper Second-Class Honours degree (2:1) or a Master’s degree (or international equivalent) in Control Engineering, Robotics, Applied Mathematics, or a related quantitative discipline. Research experience in control theory or robotics is highly desirable. Prior exposure to robotic platforms, including hands-on experience with ROS, will be considered an advantage. English language certificate is required if applicable. Applicants must submit a CV, transcripts, supporting statement, and contact details for two referees.
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Professors
Prof. at Department of Electronic and Electrical Engineering
United Kingdom
Research Interests
Industrial Automation
Human-robot Interaction
Mobile Robotics
Autonomous System
Mechatronics
Prof. at Department of Electronic and Electrical Engineering
United Kingdom
Research Interests
Industrial Automation
Mathematical Logic
Autonomous System
Formal Methods
Multi-agent System
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