Chancellor's Fellow Position in Human-Like Computing/Software Engineering

Human-like Computing refers to Artificial Intelligence that aims to emulate and/or complement human intelligence. Unlike intelligent systems that achieve human-level intelligence at isolated tasks, human-like AI systems should be able to communicate and collaborate with humans and be understandable for humans in order to support human activity effectively, and for the benefit of humans. Development of human-like computing capabilities is likely to make use of various research areas such as common-sense reasoning, collaborative cognition, mixed-initiative planning and learning, meaning-based computation, human-machine teamwork, collective intelligence and crowdsourcing, computational creativity, integration of heterogeneous reasoning processes, representational change, etc. Candidates' expertise can have either a theoretical or practical focus in any of these (or related) areas, but should involve a clear element of investigating interactions and/or similarities between artificial intelligent systems and human users.

For further details on the position, and to find out how to apply, visit the official job vacancy page at this link.

Please contact  Michael Rovatsos with any informal enquiries if you are interested in applying for this position under the Human-Like Computing theme.