Programme Information 2019 Onwards
“This past year has been unbelievable. The range of taught courses is amazing, I feel like I've learnt more in the last year than in any other. I also really enjoyed the freedom to define my own project, with the guidance of my supervisor. In addition to the teaching, there are so many amazing opportunities available to you which have made my time in the CDT really fascinating”
Siobhan - PhD student, 2016 cohort
You can read Siobhan's blog about why women should choose a career in Robotics here
The Centre's goal is to train innovation-ready robotics researchers to be part of a multi-disciplinary team, focusing on Safe Interaction for Robotics. PhD candidates specialise in one of the following four areas, gaining a deep understanding of technical aspects and theoretical foundations:
1. Physical Interactions: control, actuation, compliance, sensing, mapping, planning, embodiments, swarms;
2. People Interactions: human-robot interaction, affective robotics, smart spaces, human-robot teaming, collaborative decision-making, cobots, multimodal interfaces;
3. Self-Interactions: condition monitoring, prognosis, explainable AI, certification, verification, safety, security, multi-agent interactions;
4. Interaction Enablers: vision, embedded and parallel computing, novel and soft fabrication methods, optimisation, (transparent) machine learning, deep reinforcement learning and other AI techniques inc. natural language processing (NLP).
Achieving impact with robotics also requires non-technical skills, for example an understanding of technology translation, creativity and entrepreneurial processes. These are an essential component of the CDT programme, captured in the #Cauldron training programme.
Find out more about how to apply.
Year one will focus on filling in any gaps in your knowledge that you may need for your PhD and providing you with foundation skills in research for robotics and autonomous systems as part of your Technical Learning Portfolio. You are expected to spend approximately 50% of your time on taught courses and 50% of your time exploring your PhD topic, reading papers and conducting a literature review which will go in your first year report.
Course Selection: Together with your supervisor, you will decide on a Technical Learning Portfolio based on your proposed research area, your current knowledge and previous education. You will take MSc level courses at both Edinburgh University and Heriot-Watt. To progress to second year, you must obtain a minimum number of 65 credits but you are free to take more as needed. Please note that travel between the two campuses is not provided, so you will have to arrange your own transportation to and from each campus.
Compulsory Course: Autonomous Systems Research (30 credits) - Taught at Heriot-Watt University. This course will introduce you to current research issues in many areas of robotics and related fields including the activities of some of our industrial partners.
Course Options: You must select at least one course from Group A and Group B, as outlined below.
Group A: Select between 15 and 20 credits (one of the following) from this group:
- Robotics: Science and Systems (20 credits) - UoE
- Software Engineering Foundations (15 credits) - HWU
- Probabilistic Modelling and Reasoning (20 credits) - UoE
- Advanced Software Engineering (15 credits) - HWU
Group B: Select at least 20 credits from this group of taught course information for CDT-RAS students (see website for details)
Please note that some of the optional courses might not be available in a particular year.
This year you will focus on your PhD but there will be a Group Project (20 credits) as well as ongoing Gateway and #Cauldron events. The goal of the group project is to promote and encourage cross-disciplinary and co-creation approaches to working. This group project will be supervised by a mentoring academic, lasting approximately 3 months and will be based on a real-world problem proposed by our industrial Project Partners and other RAS stakeholders and with a prize for the top group. Students in Year 2 will present their individual and group work over the previous year at the annual conference. Progression to Year 3 is formally assessed and dependent on completing an annual report, assessed by an independent third party, and all prescribed activities in Year 2 including a short group report or academic paper documenting their group project work.
An important innovation in the third year is the placement, this can be with industry or with one of our academic Project Partners or both, at the discretion of the student supervisor and for a maximum of 6 months. These placements will expose students to different working environments and cultures, scientific excellence and broaden their horizons considerably. Whilst on their placement, each student will be required to report to their PhD supervisors on a fortnightly basis so that progress and any problems can be monitored and addressed. Frequent skype communications are also encouraged. A written report on the placement will be required from each student upon their return to Edinburgh and feedback will be solicited from the named host person. Students in Year 3 will present their work over the previous year at the annual conference. Progression to Year 4 is formally assessed and dependent on completing an annual report, assessed by an independent third party.
This year will focus on finishing the PhD work but also includes further training opportunities on innovation and industry-readiness. Students in Year 4 will make full conference length presentations on their work at the annual conference. Students also have the opportunity to apply to an Innovation Fund to develop their PhD research into pre-commercial prototype systems and they will be provided with continuing support in writing up their theses.
Find out more about:
You will choose a topic/supervisor for your PhD project on application and together you will finely tune your PhD proposal for your PhD thesis throughout year 1. You will meet regularly, typically weekly, with your supervisor to receive individual guidance. Some students will choose to work on projects in collaboration with industry partners or to do internships in industry. Others will expect to shape their thesis research towards new products and even companies.
Key Features and Benefits
•Fully funded studentship covering tuition fees and maintenance along with funding for travel, optional international placement and small pieces of equipment.
•Access to our world class infrastructure, enhanced through the £8M EPSRC capital grant at the new Bayes Centre at the University of Edinburgh and soon to be built National Robotarium at HWU.
•Students benefit from supervision by academic experts from both institutions and graduate with a joint PhD from Heriot-Watt University and the University of Edinburgh.
•Excellent training opportunities, including masters level courses in year one, supplemented by training in commercial awareness, social challenges and innovation.
•Group project to encourage publishable, multi-disciplinary projects and hone team-working skills.
•Opportunities for an international placement to collaborate with prestigious labs.
•Enterprise funds available to support development of early commercialisation prototypes.
•Opportunity for competitive selection for funding from Cambridge IGNITE and MIT Sloan School of Management Entrepreneurship Programmes.
•Opportunities to compete in international robot competitions (RoboCup, NASA Space Robotics Challenge, SAUC-E Autonomous Underwater Vehicle Challenge Europe, Amazon Alexa Challenge).
All centre students are encouraged to attend transferable skills training sessions which are delivered by both Heriot-Watt University and the University of Edinburgh. These courses are designed to help postgraduate students acquire and develop skills necessary for their research work and future careers.
More details of courses at Heriot-Watt University can be found on the Power Hour webpages.
A full list of IAD Courses can be found on the A-Z Course List.