Connectionists: PhD Studentship: Online distributed machine learning

[Mark Herbster]

PhD Studentship in Online Distributed Machine Learning
University College London 
Department of Computer Science

We have multiple PhD studentships available for EU and UK students. It will suit students with a strong background in theoretical computer science, mathematics or physics. 

The aim of these PhD positions is to design efficient algorithms for online distributed machine learning. There is scope for both applied and theoretical work. In particular we will look at optimization algorithms for deep networks, matrix completion, and sequential decision making in non-stationary environments. 

The research will take place within the context of the DAIS ITA ( https://en.wikipedia.org/wiki/DAIS-ITA ). You will be part of team of over 150 researchers in the US and UK. The ITA is a collaboration of six US universities, four UK universities, four industrial partners and is led by the UK Ministry of Defence (MoD) and the US Army Research Laboratory in partnership with IBM. As a student you may have frequent opportunities for extended research stays at DSTL, ARL, IBM as well as at other academic and industrial partners. This project will be jointly co-supervised by Mark Herbster and Simon Julier. Please contact m.herbster at cs.ucl.uk or S.Julier at ucl.ac.uk for further details.

Studentships are available to UK or EU students only and will be funded for 3 years in line with the UCL standard studentship figures: http://www.ucl.ac.uk/research-services/res-stud/student-budget 

To apply see https://www.prism.ucl.ac.uk/#!/?project=235