Academic ConnectApplications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL) in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following areas: machine learning, decision making, and theory and practice of deep learning.
We encourage applicants who will strengthen our current research activities in probabilistic machine learning, reinforcement learning, supervised and unsupervised learning, active learning, and all aspects of machine intelligence. We welcome applicants with an interest in applications of machine learning to engineering and the sciences and who can make contributions to fundamental aspects of machine learning.
This position has been funded in part by a generous contribution from Toyota Motor Corporation. The successful applicant will have the opportunity and resources to work with Toyota on rich real-world data modelling, prediction, and decision-making problems. We will give priority to candidates who are well placed to do this.
The candidate will contribute to the Division's teaching activities including those associated with the Machine Learning and Machine Intelligence MPhil programme and the teaching of Information Engineering to undergraduate students.
We particularly welcome applications from women and/or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.