Post-Doctoral Research Fellow in Computer Science

A Post-Doctoral Research Fellow is sought to create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project.

The main purpose of the Research Fellow position will be to develop, implement and demonstrate novel methods for Computer Vision, and assist robotics engineers with linking these novel vision methods with advanced robot control systems. The RF will be responsible for key deliverables of major national and international projects, as part of a large and internationally recognised robotics research team, with strong collaborations with industry.

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.
• Computer Vision, machine learning and AI.

The Research Fellow should demonstrate strong expertise in at least one of these areas, and also be willing and able to assist with combining and integrating work from at least one other of these areas. In particular we are looking for new team members with expertise in vision, but with a heavy emphasis on applying state-of-the-art vision methods to robotics.

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:

http://www.birmingham.ac.uk/research/activity/metallurgy-materials/robotics/index.aspx

The Research Fellow should demonstrate strong expertise in at least one of these areas, and also be willing and able to assist with combining and integrating work from at least one other of these areas. In particular we are looking for new team members with expertise in vision, but with a heavy emphasis on applying state-of-the-art vision methods and sensing for robotics in nuclear decommissioning environments: www.ncnr.org.uk

Person Specification

• High honours degree in a numerical discipline, or equivalent experience
• Demonstrable post-graduate degree level knowledge of mathematics and algorithms for computer vision and relevant machine learning methods.
• A PhD in Computer Vision, robotics, AI/learning or closely related areas.
• 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, 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.
• Ability to work independently and use initiative to develop own research goals and ideas.
• Outstanding time management skills - ability to keep an extremely ambitious project moving according to strict deadlines.

Informal enquiries to Professor Rustam Stolkin's assistant, Dr. Daniela Ionescu at D.Ionescu@bham.ac.uk.