Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning.
The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 27 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS. The university’s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently appointed three AI Chairs, and these two lectureships are the first in a series of additional positions in establishing a new Centre for Fundamental AI research.
Applications are welcome in any area of machine learning, in particular probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy and security.These positions are meant to contribute to machine learning methodologies and not only to their applications, but note that applications of ML are highly valued within the University. You are expected to be interested in building your career by contributing to the new centre and exploring collaboration opportunities in both methods and applications in the university, in addition to building international networks.
You will be located in the Department of Computer Science and, in addition to the new centre for Fundamental AI research, you will belong to a large community of machine learning, data science and AI researchers. The university takes pride in its ability to collaborate seamlessly across its departments, schools and faculties. Some of the most useful links include the Alan Turing Institute, ELLIS, the Institute for Data Science and Artificial Intelligence, and the new Pankhurst Institute for Health Technology.
More information: www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20016
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