We are seeking to recruit a postdoctoral research fellow to work in the area of designing algorithms for analysing large data sets.
You will be expected to perform high quality research under the supervision of Professor Graham Cormode, as part of the ERC funded project ‘Small Summaries for Big Data’. This can encompass streaming algorithms, sketching and dimensionality reduction, distributed monitoring and mergeable summaries, verification of outsourced computation, or other related topics. The expectation is that you will produce breakthrough research results in the summarisation of large volumes of data, and publish these results in top rated venues.
You will possess a PhD or an equivalent qualification in Computer Science or a very closely-related discipline (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas: randomized and approximation algorithms; communication complexity and lower bounds; streaming or sublinear algorithms.
The post is based in the Department of Computer Science at University of Warwick, but collaborations with closely related research organisations such as the Centre for Discrete Mathematics and its Applications (DIMAP), the Warwick Institute for the Science of Cities (WISC); and the newly formed Alan Turing Institute (ATI) will be strongly encouraged. You will join a team of researchers led by Professor Cormode including other postdoctoral researchers and PhD students.
Candidates should provide with their application form a CV, a list of publications and a research statement.
Closing date: 31st March 2016