A fully funded Faraday Institution studentship (PhD) in robotic manipulation
Prof R Stolkin
Dr Alireza Rastegarpanah
No more applications being accepted
Funded PhD Project (Students Worldwide)
The Faraday Institution has announced up to £42 million in new government funding to four UK-based consortia – including one involving the University of Birmingham to conduct application-inspired research aimed at overcoming battery challenges to accelerate the electric vehicle (EV) revolution.
Battery Research at Birmingham
The ReLiB team at Extreme Robotics Lab will tackle the most demanding technical challenges in sensing and robotic sorting. The processes developed will be quantitatively assessed by specialists in life cycle, technical and economic assessment. Introducing robotics into the waste and recycling sector, will boost productivity, stabilize the existing jobs market and could also draw jobs into the UK by providing valuable raw materials to feed in further up manufacturing supply chains. The ReLiB project will have a significant impact on the safety, economics and efficiency of battery recycling whilst minimizing the environmental impact of these processes.
The aim of this project is to implement the robotics techniques to remove the battery pack lid and to present individual modules to the sensor array and disassemble at cell level. Robots should connect packs, modules, cells to electrical testing machinery at various stages. The research activities of this PhD will be focused on developing the robotic manipulation techniques for disassembling the battery cells and implementing these techniques to the real industrial environments. The industrial infrastructure is prepared and the candidate will test his developed techniques to remove and disassemble the battery modules in this environment. The successful applicant will work closely with roboticists and vision researchers at Extreme Robotics Lab. The applicant should develop vision guided robotic manipulation techniques with advanced force-feedback control to unbolt, cut, grasp and manipulate the battery modules.
Start Date: Starting as early as possible
Entry Requirements:, we require an enthusiastic graduate with a 1st class degree in robotics, AI, machine learning, control engineering, mechanical engineering or a relevant discipline, at Masters level, or an equivalent overseas degree. The candidate must have advanced c++/Python/ROS programming skills.
Send you CV and cover letter summarising your research interests and suitability for the position to Dr Alireza Rastegarpanah: [[Email Address Removed]]
Funding is awarded on competitive basis, is available to worldwide students and it will cover tuition fees and living stipend.
How good is research at University of Birmingham in Electrical and Electronic Engineering, Metallurgy and Materials?
Metallurgy and Materials
FTE Category A staff submitted: 29.10
Research output data provided by the Research Excellence Framework (REF)
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