Qualification Type: | PhD |
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Location: | Edinburgh |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | Full time PhD tuition fees for a student with a Home fee status (£4,712 pa) or overseas fee status (£31,500 pa) tax free annual stipend of £19,237 for 3.5 years; additional programme costs of £1,000 pa |
Hours: | Full Time |
Placed On: | 12th April 2024 |
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Closes: | 15th April 2024 |
Deadline for applications: 15th of April 2024 (or until the position if filled)
One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled “Declarative Data Pipelines”.
The project aims to address the challenges faced by organizations in managing complex data pipelines for their ERP systems. By developing a domain-specific language (DSL) and a compilation framework, the project seeks to simplify pipeline development, improve efficiency, and ensure data correctness and timeliness.
Key Objectives:
Candidate’s profile
Studentship and eligibility
The studentship covers:
Application Information
For informal enquiries about the position, please contact Dr Milos Nikolic (milos.nikolic@ed.ac.uk) with a short summary of your background and research interests in the technical themes mentioned above.
Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: Informatics: LFCS: Theory and Foundations of Computer Science, Databases, Software and Systems Modelling with a start date of 01 September 2024.
Applicants should state “PhD in Declarative Data Pipelines” and the research supervisor (Dr Milos Nikolic) in their application and Research Proposal document.
Complete applications submitted by 15 April 2024 will receive full consideration; after that date applications will be considered until the position is filled.
The anticipated start date is 01 September 2024.
Applicants must submit:
Only complete applications (i.e. those that are not missing the above documentation) will progress forward to Academic Selectors for further consideration.
Type / Role:
Subject Area(s):
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