[robotics-worldwide] [Jobs] Research Fellow position in Robotics, Computer Vision, grasping and manipulation
*Grade 7 **Research Fellow in Robotics, robotic vision, grasping and
- The main purpose of this Research Fellow position will be to develop,
implement and demonstrate
novel methods for robotics and AI as part of major national and
international projects(e.g. EU,
EPSRC, UK innovate projects), as part of a rapidly growing and
internationally recognised robotics
Main responsibilities: • To use your expertise and long experience in
robotics, to work with a team
to develop integrated robotic systems for applications in hazardous
The Research Fellow should have demonstrated strong expertise in at least
one of the following
• Robotic grasping and manipulation
• Planning and reasoning for fixed and/or mobile manipulators in hazardous
especially for nuclear clean-up applications.
• Robotic vehicles and navigation.
• Robot dynamics and control.
• Robotic vision and learning.
The candidate should show the following skills:
• High honours degree and in a numerical discipline, from a good university.
• Post-graduate level knowledge of mathematics and algorithms for robot
control and relevant
machine learning methods.
• A PhD in robotics, vision, AI/learning or closely related areas.
• Strong programming skills, including extensive knowledge and experience
in C++. Matlab, Python,
JAVA also desirable. Knowledge of ROS and other robotics, vision and
related software systems and
architectures is highly desirable.
• 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.
The candidate might be asked to take over the following tasks:
• Within the remit of our funded research projects, generate your own novel
ideas that progress
beyond the current state-of-the-art in robotics and machine learning.
• To develop new methods for extending and/or combining these ideas or
adding new directions to
the UoB research portfolio.
• To analyse and interpret data and independently write academic papers.
• To assist with mentoring and training PhD students.
• To travel to collaborators, and help with implementing Birmingham’s novel
on their robotic testbeds.
• If necessary, assist the PI and university IP advisors with managing and
securing IP that you have created.
Please email your CV to the followings:
Prof. Stolkin: [hidden email] or [hidden email] Dr. Daniela Ionescu: [hidden email] Dr. Amir Ghalamzan: [hidden email] _______________________________________________
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