Connectionists: Research Associate Position in in Graph-based Machine Learning

[Mark Herbster]

Research Associate Position in Graph-based Machine Learning
University College London 
Department of Computer Science

The aim of this 12 month Research Associate position is to design and analyse efficient algorithms for Graph-based machine learning.  We are interested in problems such as but not limited to semi-supervised learning, spectral clustering, graph bandits, community detection, and graph homeomorphism. The postdoc will be carried out in collaboration with Braintree UK.  Braintree is developing a modular platform to exploit graph-based data for Machine Learning.  The RA will have the opportunity to collaborate with Braintree on the implementation of the considered algorithms.

The successful candidate will have a PhD in Mathematics, Computer Science or Physics, with ideally an emphasis on Machine Learning.  Experience in proving performance guarantees in both the online and batch settings and programming experience in Neo4j and Java is also valuable.

To apply, see https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041404&ownertype=fair&jcode=1715318&vt_template=965&adminview=1

Please contact Mark Herbster (m.herbster at cs.ucl.ac.uk) for additional information.