Research Fellow in AI and Autonomous Systems

Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.

City attracts around 20,000 students (over 40% postgraduate level) from more than 150 countries and staff from over 75 countries.

In the last decade, City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realizing its vision of being a leading global university.

Background

The School of Science and Technology, which offers a wide range of courses at Bachelors and Masters level within its four departments, with its research being organized across 12 multi-disciplinary Research Centres. The Robotic, Autonomy and Machine Intelligence (RAMI) group where this post is located is an internationally well-established research group. More details can be found here: www.ramigroup.co.uk

Responsibilities

RAMI Group as part of our Engineering Department is seeking to appoint on fixed term contract for 15 months (extendable depending on Performance and available budget) a Research Fellow in AI and Autonomous Systems. The fellow will develop and validate algorithms related to:

• Vision based Deep learning GNC designs for autonomous vehicles (space, drones and ground vehicles).
• Deep Learning for Perception (Detection, Classification and Tracking) for autonomous vehicles.
• Vehicle’s dynamics and modelling
• Adversarial learning for autonomous systems.
• Embedding algorithm in dedicated computing hardware
• Hardware in the loop implementation of the algorithm in dedicated robotic setups.

The Fellow will be on working on a prestigious research programs with funded by prestigious partners such as European Space Agency (ESA) and other industrial partners.

Person Specification

Applicants should hold a PhD (obtained or nearly finished) in Engineering (Electrical/Mechanical/Aeronautical) or Computer Science is required. Capability to carry out research on one or more of the following areas: Autonomous Vehicles, AI and Deep Learning, Vision based GNC, Robotics, Computer vision, Embedded and Realtime Systems is required.

Additional Information

City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

Closing date for applications: 22nd October 2023 at 11:59pm

The role is available from November 2023

City, 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 operates a guaranteed interview scheme for disabled applicants.

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