Course Structure
Year 1: Students are required to complete the MSc programme in Robotics and Autonomous Systems at the University of Lincoln (delivered at the School of Computer Science on the Brayford campus in Lincoln city centre), supported by guest lectures, seminars and workshops from supervisors at the Universities of Cambridge and East Anglia, plus training activities alongside the other CDT students. All three Universities are rated TEF Gold for teaching quality.
Years 2-4: Full-time PhD research. Students will benefit from internationally leading supervisory expertise from across the consortium, with academic supervisors from two of our partner Universities and an advisor from one of our industry partners. Twenty of the PhD students will be based at Lincoln, twenty at Cambridge, and ten at UEA.
Associated Training: An ongoing, integrated research training programme will take place throughout the MSc and PhD phases, often delivered at the centrally located NCFM campus. The programme will enable students to specialise between four possible career routes: (i) engineer, (ii) executive, (iii) entrepreneur and (iv) academic researcher, with training courses tailored to each of these directions.
Paths (i) and (ii) tend to be associated with industry; (iii) is for people interested in starting a business or working in a small enterprise; (iv) are Professors and researchers. Note that there is no correct answer to this question in the application form, but it helps us to design the training to meet your needs. All students will receive ongoing training in software engineering and systems development for agri-food robotics.
Key Features and Benefits
- Fully funded studentship covering tuition fees and maintenance along with funding for travel and consumables
- Students benefit from supervision by academic experts from University of Lincoln, University of Cambridge and University of East Anglia.
- Industry partners
- Excellent training opportunities, including masters level courses in year one, supplemented by training in additional areas
- Group project to encourage publishable, multi-disciplinary projects and hone team-working skills.
Research Areas
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Mobile Autonomy
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Manipulation and Soft Robotics
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Sensing and Perception
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Fleet Management
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Human-Robot Collaboration
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Robot Vision
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Robot Learning
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Robotic Mapping
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Robot Task Planning
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Robot Navigation
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Swarm Robotics
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Systems Integration
