Fully-Funded KIMEME PhD Studentship: Computer Science 1027 views

The School of Computer Science at University of Nottingham in partnership with Cyber Dyne invites applications for a fully-funded PhD studentship. Cyber Dyne is a software company focused on Intelligent Optimisation and Prescriptive AI. Its main product is KIMEME, an advanced multidisciplinary optimisation platform based on state-of-the-art bio-inspired metaheuristics and Machine Learning techniques.

About the position:

• The topic of the studentship is “Problem Analysis based Algorithmic Design for Industry 4.0”.
• This exciting project is expected to lay the theoretical foundation and provide practical solutions for a novel technology aimed at addressing large-scale industrial optimisation problems, with reference to the case study of a leading international company in the automotive sector.
• The developed algorithms and software prototype will be tested on real-world cases and later integrated in KIMEME.
• For this studentship, a strong command of Object-Oriented programming in Java and Python and a solid background in mathematics are required.
• Previous experience in machine learning and agile software development is a plus.

Duration:  minimum three years

Remuneration: stipend of (minimum) £14,777 per year and tuition fees.

Requirements:

• Position is available to students of UK and EU nationality.
• Applicants are normally expected to have a first-class Master’s degree in Computer Science or a related discipline, and must obtain the support of a potential supervisor in the School prior to submitting their application.

Applications:

Submit the following materials by email to: marc.williams@nottingham.ac.uk

• a brief covering letter that describes the reasons for wishing to pursue a PhD, proposed contribution within the research area of this project, an agreement in principle with Dr Ferrante Neri that he is ready to supervise.
• Copy of CV, including actual or expected degree class(es), and results of all University examinations;
• an example of technical writing, such as a project report or dissertation;
• contact details for two academic referees.