CASE PhD Studentship Available
A real-time system for clustering time series data
This is an exciting PhD opportunity in Numerical Analysis, with immediate implementation and applications in the Sabisu software platform. Sabisu is a Manchester-based company who produce a software platform for the petrochemicals and chemical production industries. It is used for decision support, advanced operational intelligence, data analytics, and managing some of the world’s largest projects. Sabisu uses time series data (among other sources) to identify under-performing assets and predict failures in industrial plants.
Project description. The PhD project is concerned with the development of new approaches for clustering of noisy time series, with an application to real-time measurements being taken in large industrial assets. Firstly, the student will investigate low-dimensional representations of time series which preserve relevant features and allow for automatic classification using techniques from machine learning, such as support vector machines. Secondly, the real-time aspect of data collection will necessitate the need for efficient updating techniques in the linear algebra routines underlying the training and assignment phases.
Academic supervisors and industrial partners. The academic supervisors for this project are Dr Martin Lotz and Dr Stefan Güttel. The project is supported by Sabisu, with industrial supervisor Dr Tim Butters and advisor Tim Sharpe. The PhD student will be based at the University of Manchester and work in close collaboration with both the academic and the industrial partners, spending at least three months at Sabisu. A second PhD student will work on a related project in computer science.
Candidate requirements. The ideal candidate will have experience in at least two of the following topics: numerical linear algebra, numerical optimization, Bayesian statistics, and machine learning. Programming experience with at least one of the following mathematical software packages is desired: MATLAB, Python, Julia. The candidate must be a UK resident.
How to apply. Please read the information on here and complete your application using the linked Postgraduate Application Page. Among the documents listed on the above website, the application should also include a piece of technical writing (or a reference to it). For example, this could be a thesis, paper, or undergraduate project you have worked on. Alternatively you can email this work directly to firstname.lastname@example.org. Please make sure to mention Dr Stefan Güttel and Dr Martin Lotz as your potential supervisors. The application deadline is Sunday, May 15th, 2016.