|Funding for:||UK Students, EU Students|
|Funding amount:||£15,009 The value of the award covers tuition fee: £4,327 pa. Awards are usually incremented on 1 October each year.|
|Placed On:||23rd January 2020|
|Closes:||28th February 2020|
Applications are invited for a funded 3.5-year PhD studentship in multi-robot planning for coverage tasks.
Our project will develop hybrid planning methods for coverage-related applications where coverage is performed by robots changing the environment while they navigate. This type of coverage is inherent in many robotic application domains such as painting robots, autonomous underwater vehicles, robot window cleaners, and robots for inspection of complex structures, to name only a few.
We aim to investigate an application-agnostic solution to multi-robot coverage problem that is independent of coverage tasks, the shape of an environment, and the type and number of robots performing the tasks. Our research spans over several exciting fields of study including hybrid optimization, task and motion planning, and multi-robot coordination.
The contribution of this project will advance the state-of-the-art in hybrid problem-solving.
The successful candidate will join the Intelligent Robotics Lab at the School of Computer Science, University of Birmingham. You will be supervised by Dr Masoumeh Mansouri.
Applicants should have a first-class or good upper second in Computer Science, Robotics or closely related field. Applicants also need to have a strong background in mathematics and high proficiency in programming, e.g., Python, C++ or Java. An MSc project in robot planning, scheduling, multi-agent decision making, optimization or a multi-robot systems related area would be beneficial but not essential.
Additional Funding Information
The position offered is for three and a half years full-time study. The value of the award covers stipend: £15,009 pa and tuition fee: £4,327 pa. Awards are usually incremented on 1 October each year.
Eligibility: 2:1 Honours undergraduate degree and/or postgraduate degree with Distinction (or an international equivalent) in a numerate subject, such as Mathematics, Statistics, Computer Science or Physics. Excellent problem solving skills and programming skills are required.
If your first language is not English and you have not studied in an English-speaking country, you will have to provide an English language qualification.
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