Dr Wei Pan (The University of Manchester) and Dr Mengmi Zhang (Agency for Science, Technology and Research - A*STAR) are seeking a highly motivated and ambitious PhD student to join our team working on the development and evaluation of a human visual recognition computational model-based multi-agent reinforcement learning (MARL) algorithm for drone-based visual search in complex search and rescue scenarios in complex environments. The project aims to bridge the gap between biological and artificial intelligence in visual search tasks by bringing AI closer to human-level search efficiency and robustness. The scope of work to be carried out in Manchester in the first and fourth years will focus on multi-agent reinforcement learning and drones, while the scope of work to be carried out in Singapore in the second and third years will focus on human visual recognition model and vision research.
The project will involve developing and implementing a human visual recognition computational model-based MARL algorithm that incorporates Hybrid Foraging Search for visual search using drones in search and rescue scenarios in complex environments. The algorithm will be evaluated in simulated and real-world environments in both collaborative and competitive scenarios. The results of this research will provide insights into the neural mechanisms underlying high-level cognitive functions in biological brains and provide guidelines for using the proposed algorithm in real-world search and rescue operations.
The successful candidate will have the opportunity to work in a stimulating and challenging environment and will be expected to publish high-quality research papers in leading journals and conferences. They will also have the opportunity to participate in international collaborations and attend conferences and workshops to present their research.
Person Specification:
- A strong background in computer science, electrical engineering, or a related field.
- Experience in multi-agent reinforcement learning, machine learning, computer vision, or a related field.
- Experience in programming languages such as Python, C++, MATLAB, or similar.
- Strong problem-solving skills, the ability to think abstractly, and an aptitude for mathematical and computational modelling.
- Experience with drones and/or robotic systems is a plus.
- Effective communication and presentation skills, working well in a team and interacting with people from diverse backgrounds and expertise.
This is an exciting opportunity to work on cutting-edge research in a multidisciplinary team of experts and contribute to developing AI that can save lives in real-world search and rescue operations. If you are interested in this opportunity and meet the person specifications, please apply with your CV and a cover letter.
Eligibility
Applicants must have obtained or be about to obtain a First or Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science, engineering or technology.
Before you Apply
Applicants must make direct contact with preferred University of Manchester supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application.
How To Apply
To be considered for this project you MUST submit a formal online application form - full details on eligibility how to apply can be found on our website. On the online application form select PhD Computer Science Programme. Please ensure you include the full project title in your application, i.e. (A*STAR) Human Visual Recognition-Inspired Multi-Agent Reinforcement Learning for Drone Search and Rescue in Complex Environment.
Your application form must be accompanied by a number of supporting documents by the advertised deadlines. Without all the required documents submitted at the time of application, your application will not be processed and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered. If you have any queries regarding making an application please contact our admissions team [Email Address Removed]
Equality, Diversity and Inclusion
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
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