The School of Computer Science at the University of Nottingham, in partnership with Cyber Dyne award a Fully-funded KIMEME PhD Studentship for the 2019/20 academic year.
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.
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.
The University of Nottingham is a public research university in Nottingham, United Kingdom
Deadline: August 30, 2019
Degree Level: PhD
Field: Computer Science
Number of Scholarships: Not known
Nationality: UK and EU students
Value: The studentship is for a minimum of three years and include a stipend of (minimum) £14,777 per year and tuition fees
Eligible Countries: UK/EU nationality
Eligibility Criteria: Applicants must meet the following criteria:
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.
Applicants are normally expected to have a first-class Masters 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.
The following items are to be submitted via email to: firstname.lastname@example.org
(1) a brief covering letter that describes your reasons for wishing to pursue a PhD, your proposed contribution within the research area of this project, an agreement in principle with Dr Ferrante Neri that he is ready to supervise you;
(2) a copy of your CV, including your actual or expected degree class(es), and results of all University examinations;
(3) an example of your technical writing, such as a project report or dissertation;
(4) contact details for two academic referees.