AI (Artificial Intelligence) enabled autonomous robots integrated with an intelligent sensing system for the non-disruptive inspection of utility and sewage systems
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “AI (Artificial Intelligence) enabled autonomous robots integrated with an intelligent sensing system for the non-disruptive inspection of utility and sewage systems” led by Dr Md Nazmul Huda in the Department of Electronic and Electrical Engineering
Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).
You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.
Traditional manual maintenance of pipelines which requires digging of ground to get access to pipelines is ineffective because of safety issues, high cost and limited human vision. Thus, serious faults are often missed in the pipeline which causes failures such as leaks in the system. Thus, this project aims to design and develop AI (Artificial Intelligence) enabled autonomous robots integrated with an intelligent sensing system for the non-disruptive inspection of utility and sewage systems.
Please contact Dr Md Nazmul Huda at email@example.com to find out more.
You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in robotics, electronic engineering, mechanical engineering, computer science, or similar engineering related subject. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.
Skills and Experience
The applicant will be required to demonstrate his/her strong programming skills and experience in robotics (experimental, modelling and/or analytical experience), machine vision and machine learning algorithms, and CAD software such as Solidworks or equivalent. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.
How to apply
Email the documents below as a single PDF file to firstname.lastname@example.org by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.
- Your up-to-date CV;
- Your 300-word personal statement setting out why you are suitable for this position;
- Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
- Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
- Two references, one of which can be provided by a member of Brunel University academic staff.
Interviews will take place in June 2022.
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.