{"id":4855,"date":"2019-05-05T00:30:51","date_gmt":"2019-05-04T22:30:51","guid":{"rendered":"http:\/\/www.cyberdyne.it\/?p=4855"},"modified":"2021-10-13T17:40:58","modified_gmt":"2021-10-13T15:40:58","slug":"work-with-us-phd-studentship","status":"publish","type":"post","link":"https:\/\/www.cyberdyne.it\/en\/work-with-us-phd-studentship\/","title":{"rendered":"Fully-Funded KIMEME PhD Studentship"},"content":{"rendered":"
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School of Computer Science, University of Nottingham, UK in partnership with Cyber Dyne.
\n<\/strong>Applications are invited for a fully-funded PhD studentship, starting on 1st December 2019 or soon after, in the School of Computer Science at the University of Nottingham, in partnership with Cyber Dyne.<\/p>\n

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Cyber Dyne is a software company focused on Intelligent Optimisation<\/strong> and Prescriptive AI<\/strong>. Its main product is KIMEME, an advanced multidisciplinary optimisation platform based on state-of-the-art bio-inspired metaheuristics and Machine Learning techniques.<\/p>\n

The topic of the studentship is \u201cProblem Analysis based Algorithmic Design for Industry 4.0\u201d. This exciting project is expected to lay the theoretical foundation and provide<\/p>\n

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. During the PhD programme, the perspective student will have the opportunity to work with a highly qualified team of computer scientists and skilled software engineers, and interact with a major industrial customer on hard-to-solve real-world problems. A secondment at the Cyber Dyne R&D department in Italy, as well as short visiting periods at the industrial customer\u2019s factories, will be possible.<\/p>\n

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<\/p>\n

machine learning and agile software development is a plus.<\/p>\n

The studentship is for a minimum of three years and include a stipend of (minimum) \u00a314,777 per year and tuition fees. It is available to students of UK and EU nationality. 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. Initial contact with supervisors should be made at least two weeks prior to the closing date for applications.<\/p>\n

Informal enquiries may be addressed to sciencessupport@nottingham.ac.uk<\/a><\/p>\n

Informal enquires about the project may be addressed to ferrante.neri@nottingham.ac.uk<\/a><\/p>\n

To apply, please submit the following items by email to: marc.williams@nottingham.ac.uk<\/a><\/p>\n

(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;<\/p>\n

(2) a copy of your CV, including your actual or expected degree class(es), and results of all University examinations;<\/p>\n

(3) an example of your technical writing, such as a project report or dissertation;<\/p>\n

(4) contact details for two academic referees.<\/p>\n

Closing date for applications: <\/strong>Friday 30th August 2019<\/p>\n

Info & Contact Here<\/a><\/strong><\/p>\n<\/div>\n

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    School of Computer Science, University of Nottingham, UK in partnership with Cyber Dyne. Applications are invited for a fully-funded PhD studentship, starting on 1st December 2019 or soon after, in the School of Computer Science at the University of Nottingham, in partnership with Cyber Dyne.<\/p>\n","protected":false},"author":3,"featured_media":4857,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[41],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/posts\/4855\/"}],"collection":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/posts\/"}],"about":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/types\/post\/"}],"author":[{"embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/users\/3\/"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/comments\/?post=4855"}],"version-history":[{"count":0,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/posts\/4855\/revisions\/"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/media\/4857\/"}],"wp:attachment":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/media\/?parent=4855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/categories\/?post=4855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/tags\/?post=4855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}