The University of Galway in Ireland is inviting applications for a fully funded PhD position starting in September 2027, or earlier by agreement. The opportunity is aimed at prospective researchers interested in artificial intelligence, robotics, control systems and multi-agent technologies. The PhD research will explore areas including embodied AI, networked multi-agent systems, robotics and unmanned systems, game theory, optimization and applications of multi-agent systems. The opportunity could be particularly relevant to graduates with academic or practical backgrounds in control theory, robotics, artificial intelligence, mathematics or closely related disciplines who want to pursue advanced research in an internationally collaborative environment. About the Fully Funded PhD Opportunity The selected PhD candidate will join the research community at the University of Galway and contribute to research involving intelligent autonomous systems and robotics. The research areas include: Embodied artificial intelligence. Networked multi-agent systems. Control of robotics and unmanned systems. Game theory and optimization. Applications of multi-agent systems. The position combines theoretical research with potential hands-on work involving robotic platforms and autonomous systems. Candidates with strong mathematical foundations may be particularly suited to research involving control, optimization and multi-agent decision-making, while practical robotics experience can also strengthen an application. What the Researcher Will Gain The PhD candidate will have access to research infrastructure and opportunities to develop experience working with advanced robotic systems. The opportunity includes access to robotic platforms such as manipulators and unmanned ground vehicles, supported by technical expertise. The selected researcher may also participate in collaborative research projects involving international academics and industry partners. Additional opportunities include research visits to leading universities in: Europe North America China These collaborations and research visits can provide opportunities to develop international research networks and gain exposure to different approaches in AI, robotics and autonomous systems. Research Areas The advertised PhD opportunity covers several interconnected research fields. Embodied AI Embodied AI focuses on intelligent systems that interact with and learn from the physical world through robotic bodies and sensors. Research in this area can involve perception, decision-making, learning and autonomous action. Multi-Agent Systems Networked multi-agent systems examine how multiple autonomous agents communicate, coordinate and make decisions. Such systems have applications in robotics, autonomous vehicles, distributed systems and other complex environments. Robotics and Unmanned Systems The research may involve controlling robotic platforms and unmanned systems, including manipulators and unmanned ground vehicles. Game Theory and Optimization Game theory and mathematical optimization can be used to study decision-making, coordination, competition and resource allocation among autonomous agents. Who Can Apply? The opportunity is aimed at candidates with relevant academic or research backgrounds. Applicants should ideally have a background in: Control theory. Robotics. Artificial intelligence. Mathematics. Engineering. Computer science. A closely related field. Strong mathematical skills and/or hands-on robotics experience are considered valuable. Candidates should also demonstrate an excellent academic record and the ability to work independently on advanced research problems. The advertised English-language requirement is IELTS 6.5 overall, with no individual band below 6.0. Applicants should also demonstrate qualities such as self-motivation, honesty and responsibility, which are important for independent doctoral research. How to Prepare Your CV Applicants should prepare a focused academic CV that demonstrates their suitability for doctoral research rather than using a general employment CV. The CV should highlight: Academic qualifications and grades. Relevant undergraduate or master’s research. Control theory and robotics coursework. Artificial intelligence and machine-learning experience. Mathematical and optimization skills. Programming languages and technical tools. Robotics projects and laboratory experience. Research publications or conference papers. Research assistantships and internships. Relevant software, simulation or hardware experience. Awards, scholarships and academic achievements. Candidates with practical experience should explain what they personally contributed to robotics or AI projects rather than simply listing project titles. Experience Highlights to Emphasize Applicants should emphasize research or project experience directly connected to the advertised research areas. Particularly useful experience may include: Designing or controlling robotic systems. Autonomous navigation or unmanned vehicles. Multi-agent coordination. Reinforcement learning or AI. Control-system design. Optimization algorithms. Game-theoretic modelling. Mathematical modelling and simulation. Networked autonomous systems. Computer vision or robotic perception. Applicants with publications should identify their most relevant research outputs and briefly explain their contribution. Those without publications can instead emphasize substantial final-year projects, master’s dissertations, research projects, competitions, laboratory work or independent technical projects. What to Include in the Application Interested candidates are asked to submit one PDF document containing: Curriculum vitae. Academic transcript. IELTS score report, if available. Representative publications or project experience. A brief research proposal. Contact information for two referees. The research proposal should demonstrate that the applicant has considered the advertised research themes and can formulate a clear research question or direction. Candidates should avoid sending a generic statement of interest. Instead, the proposal should connect their academic background and previous experience with areas such as embodied AI, multi-agent systems, robotics, control, game theory or optimization. How to Apply Applications should be submitted directly by email to Panpan.zhou@universityofgalway.ie. Applicants should use the subject line: “fully-funded PhD application-[your name]” The PhD is expected to commence in September 2027, although an earlier start may be possible. Prospective applicants should ensure that their PDF is complete before sending it and that their referees’ contact information is accurate. For graduates seeking advanced research experience in AI, robotics, autonomous systems and multi-agent technologies, this fully funded University of Galway PhD opportunity provides a pathway to doctoral research while offering access to robotic platforms, international collaborations and potential research visits. For more opportunities such as these please follow us on Facebook, Instagram, Twitter, LinkedIn and WPChannel Important: Global South Opportunities (GSO) is not the offering organisation. This opportunity is shared for informational purposes based on the official announcement. Applicants should verify all eligibility requirements, application documents, deadline details and submission procedures directly with Umeå University before applying. GSO does not accept applications or CVs on behalf of applicants. JOIN GSO WHATSAPP CHANNEL NOW