Design and Development of a Capsule Robot for Medical Applications
EPSRC DTP PhD Studentships: Specific Project Advert
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentship for the project “Design and Development of a Capsule Robot for Medical Applications” starting 1st October 2021. Successful applicants will receive an annual stipend (bursary) of £17,609, including inner London weighting, plus payment of their full-time tuition fees for a period of 36 months (3 years).
The majority of studentships are available to applicants who are eligible for home (UK) tuition fees but a limited number are available to overseas and EU nationals who meet the academic entry criteria.
You will join the internationally recognised researchers in the Department of Electronic and Electrical Engineering. A capsule robot has potential applications in medical diagnosis (e.g. capsule endoscopy) and treatments. In 2000, Given Imaging introduced the capsule endoscope which has many advantages over the traditional endoscopy. However, it cannot control its motion and diagnostic accuracy is low. A self-propelling capsule endoscope could be a solution to this. This research project will address the following question: “Can we design and develop a wirelessly controlled and self-propelling capsule robot with a safe propulsion mechanism?”
Please contact Dr Nazmul Huda at Nazmul.firstname.lastname@example.org to arrange an informal discussion about the project.
Skills and Experience
Applicants will be required to demonstrate their strong programming skills and experience in robotics (design, modelling, control, and experiments). CAD software skills such as Solidworks or equivalent are desirable. You should be highly motivated, able to work independently as well as in a team, collaborate with others and have good communication skills.
Academic Entry Criteria
You will have or be expected to receive a 1st class or 2:1 honours degree in Electronic, Electrical or Computer Systems Engineering or a similar discipline. A masters degree is not required but may be an advantage.
If applicable, you should hold an English Language proficiency qualification of or equivalent to an overall score of IELTS 6.5 (minimum 6.0 in all sections).
How to apply
Please submit the documents below) to email@example.com by Noon on Friday 4 June 2021. Interviews will take place in June/July 2021.
- Your up-to-date CV;
- Your personal statement (300 to 500 words) summarising your background, skills and experience;
- Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
- Your English Language qualification, if appropriate;
- Contact details for TWO referees, one of which can be a member of Brunel University academic staff.
Remember to state the title of the project at the top of your personal statement.
Md Nazmul Huda
- Dr M Nazmul Huda
received his BSc (Hons) degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Bangladesh in 2008, his MSc by Research degree in Computing Science from Staffordshire University, UK in 2011 and his Ph.D. degree in Robotics and Control from Bournemouth University, UK in 2016. At present, he is a Senior Lecturer in Electronic and Electrical Engineering at Brunel University London and supervising several PhD students in robotics, artificial intelligence and renewable energy. Before joining at Brunel University London, he has held several academic/research positions at Coventry University, Cranfield University, Bournemouth University, Staffordshire University and Bangladesh. He has more than ten years of experience in performing research and leading research projects in robotics, control and machine learning funded by various funding bodies including EPSRC and Innovate UK. He has filed a patent and published papers on flagship journals and conferences. He is a member of IET, IEEE, IEEE RAS and EPSRC associate peer review college. He has been nominated as a regular reviewer for EPSRC grants applications. He has been collaborating with internal and external academic and industrial partners and actively developing research proposals as a PI and Co-PI for internal and external funding calls including Horizon 2020, Wellcome Trust and High-Volume Transport. He also serves as a reviewer for many flagship journals and conferences in robotics, control and artificial intelligence including IEEE ICRA, IEEE IROS, IEEE SSRR, IEEE/ASME Transactions on Mechatronics, IEEE Robotics and Automation Letters (RA-L) etc.