Research Associate in Motion Planning for Hexapod Robots in 3D Environments, University of Manchester, UK: Summary of role: You will contribute to the success of an exciting new robotics hub funded by the EPSRC: ‘Robotics and Artificial Intelligence for Nuclear (RAIN)’. This project is a collaboration between the Schools of Electrical Electronic Engineering (EEE), Mechanical, Aerospace and Civil Engineering (MACE), Computer Science (CS) and Physics and Astronomy at the University of Manchester, the Universities of Oxford, Bristol, Liverpool, Sheffield, Nottingham and Lancaster, the UKAEA’s Remote Applications in Challenging Environments centre (RACE) and leading industrial companies.
The focus of this position will be the motion planning for hexapod robots operating in 2.5D space. This is where support legs can be on surfaces which can be perpendicular to the ground plane. Hexapods are being considered for the characterisation of highly cluttered environments as part of the decommissioning process.
You will be based at the University of Manchester and will collaborate with colleagues from other Schools, Universities and Industry and will be actively involved in meetings, workshops and conferences.
Project synopsis: The nuclear industry has some of the most extreme environments in the world, with radiation levels and other hazards frequently restricting human access to facilities. Even when human entry is possible, the risks can be significant and levels of productivity low. To date, robotic systems have had limited impact on the nuclear industry, but it is clear that they offer the potential to deliver improvements in productivity and significant reductions in risk. The RAIN hub will deliver the necessary step changes in fundamental robotics science and establish the pathways to impact that will enable the creation of a responsible research and innovation infrastructure that has the capability to lead the world in nuclear robotics and deliver technology to industries operating in many other extreme environments.
Qualifications and experience:
- You must hold (or be about to obtain) a PhD degree or have equivalent experience in the field of electronic & electrical engineering, mechatronic engineering or a related discipline.
- You must have the enthusiasm to apply your skills to develop robotic inspection systems for use in remote and challenging environments.
- You must have experience in the development of sensing, navigation and control systems and in designing and running experiments and field trials.
- You must have excellent interpersonal skills, work effectively in a team and have experience of the preparation of presentations, reports and journal papers to the highest levels of quality.
The School of Electrical & Electronic Engineering is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Simon Watson, Lecturer in Robotics Systems
Tel: 0161 275 4499
Tel: 0161 850 2004