Research Fellow and Business Development in AI for Autonomous Systems

City St George\’s, University of London is the University of business, practice and the professions and brings together the expertise and excellence of City, University of London and St George\’s, University of London into one institution. The combined university is one of the largest suppliers of the health workforce in the capital, as well as one of the largest higher education destinations for London students. Combining a breadth of disciplines across health, business, law, creativity, communications, science and technology, we are creating a \’health powerhouse\’ for students, researchers, the NHS and partners in uniting a world-leading specialist health university. We are now one of the UK\’s largest health educators, where staff and students have access to an expanded team of brilliant academic and professional services colleagues, combined resources and facilities and more interdisciplinary opportunities. The merger creates opportunities to generate significant change in the world of healthcare including changes to treatment, population health monitoring, workforce development and leadership, policy, and advocacy.

Background

The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated to fulfil customer\’s ambitious and innovative requirements. The group steadily establishes itself as a world leader in a range of applications from automatic sensing to processing and AI Autonomy for Data Processing, Robotics and Unmanned Vehicles to platforms Navigation/Control and Cyber Physical Systems.

Responsibilities

• Undertake research in the field of AI for healthcare autonomous systems. Activities on non-healthcare systems could occasionally be requested.
• Undertake research from algorithm development to real time implementation.
• Prepare, publish, and present papers and presentations on the related work for highly ranked Journals and major meetings and Conferences, as specified by the Principal Investigator.
• Work as a member of the research team in discipline, playing a full part in the research life of the University in general, and the RAMI Group within the School of Science and Technology, in
• Business Development activities for the expansion of the Autonomy of Systems Centre.
• Assisting in writing proposal to expand the healthcare autonomous systems activities.
• Take up other duties and tasks, such as teaching, tutorial and laboratory as may reasonably be assigned by the Principal

Person Specification

Capability to carry out research more than one of the following areas: AI and Deep Learning in Healthcare related context, Robotics and autonomous systems, Computer vision, Embedded and Realtime Systems Knowledge in promoting group activities and Business development Experience of processing of data and presenting results in a suitable format for dissemination of results in reports presentations, and research papers etc. Demonstrable knowledge of Programming skills (Python/C++/Matlab) Interest in developing AI and deep learning based solutions for heathcare systems An ability to work effectively with research staff, students and customers and organizing activities of the Autonomy of Systems centre An ability and willingness to learn new technical skills Demonstrate the ability to meet deadlines and work under tight time scales Demonstrate excellent verbal and written communication skills

Additional Information

Closing date: 2nd November 2025 at 11:59pm. To apply and for more information about the post please use the links below. City St George\’s offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development. City St George\’s, University of London is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. We welcome applications regardless of age, caring responsibilities, disability, gender identity, gender reassignment, marital status, nationality, pregnancy, race and ethnic origin, religion and belief, sex, sexual orientation and socio-economic background. City St George\’s operates a guaranteed interview scheme for disabled applicants. Where a hybrid working arrangement can be accommodated, it is expected that colleagues will spend the majority (at least 60%) of their usual working time on campus each week. Specific details will be discussed and agreed with the successful candidate. A hybrid working arrangement will not detract from any comprehensive induction, that will include relevant on-site activities. Regardless of where colleagues are working, City St George\’s, University of London\’s premises will be their primary and contractual place of work. The University of business, practice and the professions.