Permanent, Full Time
The Department of Computer Science is seeking to recruit an experienced Lecturer in Robotics and Autonomous Systems. The person appointed will have an undergraduate degree in Computer Science, Computing, Mathematics, Mechatronics, Engineering or a relevant area.
A PhD in a relevant area is essential for this position.
The post holder will have experience of teaching a range of computing topics and in addition to teaching experience of robotics and autonomous systems, shall be able to demonstrate evidence of expertise in one or more of the following areas:
A familiarity with the industrial IT environment is desirable, as is experience of supervising PhD students and soliciting research funding, though all necessary training will be provided in the role.
The post-holder will have effective communication, interpersonal and organisational skills, be committed to the development of themselves and others and supportive of equal opportunities. They will be able to work as part of a team and interested in contributing to novel approaches to research and teaching.
The School of Computing and Engineering promotes research development and provides a research-supportive environment. Collectively, the School has secured over £25M in external funding from UKRI and Horizon 2020.
Research in the Department of Computer Science covers an international portfolio and is headed by world leading researchers working within a number of research centres, including the Centre for Planning, Autonomy and Representation of Knowledge (PARK), the Centre for Cyber Security (CCS), the Centre for Industrial Analytics (CIndA) and the Centre for Mathematics and Data Science.
The Department of Computer Science holds a framework agreement with CERN (https://home.cern/about), the European Organisation for Nuclear Research, which facilitates working together on world-leading research projects, including the development of specific Artificial Intelligence technologies for edge processing of scientific data in real time. The department has opportunities for academic staff and PhD students to conduct research in this area.
If you are currently registered as a student at the University, please note that you may only apply for part-time jobs of 15 hours or less per week.
For more information, please download the recruitment pack.