[DMANET] Funded PhD Position - Optimising machine learning algorithms for industrial applications

Applications are invited for a 4 year fully funded PhD project within the Operational Research Group, School of Mathematical Sciences, University of Southampton

Project title: Optimising machine learning algorithms for industrial applications

Project description: The aim of this project is to take a very practical approach to machine learning, designing learning algorithms tailored to practical applications using real world data. The plan is to consider various tasks, mostly focused on supervised learning, including classification and regression tasks, developing support vector machines and decision trees-based algorithms, as well as taking advantage of the infrastructure of deep learning methods where necessary. Each of these techniques involves the calculation of one or several hyperparameters, which are crucial for their performance. Hence, the development of the machine learning algorithms expected in this project will take a broad approach, going from the basic training step to the design of powerful hyperparameter algorithms, possibly taking advantage of the hierarchical nature of the hyperparameter optimization problem. The methods to be developed will be driven by applications, as the industrial funding of the project is provided by Decision Analysis Services Ltd (DAS), which has a wide range of clients, from management to highly technical engineering companies. Therefore, algorithms are expected to be tested on a varied base of data sets, from small to very large-scale time series or cross-sectional datatypes.

More details available here: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1616821PJ

Funding: The project is fully funded, jointly by DAS and the School of Mathematical Sciences, University of Southampton, and covers full tuition fees at UK rates, and a stipend of £15,285 tax-free per annum for up to 4 years.

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Dr Alain Zemkoho
Associate Professor
School of Mathematical Sciences
University of Southampton
Email: a.b.zemkoho@soton.ac.uk
https://www.southampton.ac.uk/~abz1e14/


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