[robotics-worldwide] [jobs] A fully funded Faraday Institution PhD studentship in vision-guided robotics

Alireza Rastegarpanah a_r_adrex at yahoo.com
Wed Apr 10 11:59:26 PDT 2019

About the Extreme Robotics Lab 

The University of Birmingham Extreme Robotics Lab, is one of the leading
university robotics labs in Europe dedicated to practical applications of
robotics and AI to extreme environments. 

A PhD student is sought to create and contribute to the creation of
knowledge by undertaking a specified range of activities within Recycling of
Lithium Ion Battery (RELIB) project, using expertise in Computer Vision
and/or vision-guided robotics, to work with a team to develop integrated
robotic systems for practical applications, driven by major industrial and
societal problems. The UoB robotics team are collectively working on robotic
grasping and manipulation; planning and reasoning for fixed and/or mobile
manipulators; robotic vehicles and navigation; robot dynamics and control
and Computer Vision, machine learning and AI. In particular we are looking
for PhD students with expertise in vision, but with a heavy emphasis on
applying state-of-the-art vision methods and sensing for robotics in
automotive environments: 


The PhD candidate will focus on developing vision-guided robot control
methods, understand the relevant recent literature, in order to plan
experiments and papers. 

Recycling of Lithium Ion Battery (RELIB) project 

The ReLiB team at Extreme Robotics Lab will tackle the most demanding
technical challenges in sensing and robotic sorting. 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. 

Main Duties 

The responsibilities may include some but not all the responsibilities
outlined below: 

•	To use expertise in Computer Vision and/or vision-guided robotics, to
develop integrated robotic systems for disassembly applications, driven by
automotive industry. 
•	Within the project scope of RELIB project, generate novel ideas that
progress beyond the current state-of-the-art in computer vision, AI/machine
learning, and vision-based robot control. 
•	Develop new methods for combining these ideas with, and/or adding new
directions to, the UoB robotics and vision and robotics research portfolio. 
•	To understand the project scope, and appreciate the practical industrial
applications which motivate our robotics, vision and AI research. 
•	While having expertise in Computer Vision, be also willing and able to
collaborate with robotic manipulation experts, to help develop integrated
vision-guided robot control methods. 
•	Independently understand the relevant recent literature, in order to plan
experiments and papers. 
•	Plan experiments and gather the data needed to publish ideas in leading
international journals and conference proceedings. 
•	Write up work as papers, of sufficient quality to be published in leading
international journals and conference proceedings. 
•	To take personal responsibility for ensuring that outlined parts of
project deliverables are completed. 

Knowledge, Skills, Qualifications and Experience Required 

•	1st class degree in robotics, AI, machine learning, control engineering,
mechanical engineering or a relevant discipline, at Masters level, or an
equivalent overseas degree 
•	English language requirement:
•	Demonstrable knowledge of mathematics and algorithms for computer vision
and relevant machine learning methods. 
•	Demonstrated expertise and experience in 3D vision, i.e. working with
point-cloud data and devices, is especially desirable. 
•	Strong programming skills, including extensive knowledge and experience in
C++. Matlab, Python, JAVA also desirable. 
•	Ability to use OpenCV, VISP, PCL and other relevant open-source vision
software libraries. ROS experience may also be useful, but ability to
combine vision libraries with our lab’s bespoke C++ robot control software
library is also important. 

To apply: 

Send you CV and cover letter summarising your research interests and
suitability for the position to Dr Alireza Rastegarpanah:
[a.rastegarpanah at bham.ac.uk] 

Start Date: Starting as early as possible

Dr. Alireza Rastegarpanah, Ph.D., MEng, MIEEE

Faraday Institution Robotic Scientist

Faraday Institution
United Kingdom

Mobile: +44 (0)7429224991
e-mail: a.rastegarpanah at bham.ac.uk
W: www.relib.org.uk

Sent from: https://urldefense.proofpoint.com/v2/url?u=http-3A__robotics-2Dworldwide.1046236.n5.nabble.com_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=X06VOjNzAW9TW0La9aD7coy2dCY4qQvIWM1iDoSWDHo&s=DBZDFBWpd47H_kTm0af9IG4KcIUpew4pEQDvrnfQJeM&e=

More information about the robotics-worldwide mailing list