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Scheduling and Data Flow Problems in Special-purpose Networks

  • Full or part time
  • Application Deadline
    Sunday, March 15, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Application details:
Reference number: LN/CO/2020
Start date of studentship: 1 July 2020
Closing date of advert: 15 March 2020

Primary supervisor: Dr Lars Nagel
Secondary supervisor: Dr Amitabh Trehan

This fully funded PhD project deals with scheduling and data flow problems for future networks. The successful candidate will work within the Theoretical Computer Science research theme in the Department of Computer Science with renowned experts in the field. The position therefore provides an ideal start into an academia or research career.

Full Project Detail

This project seeks to investigate optimisation problems in the area of distributed computing and computer networks. With current developments like the Internet of Things, Big Data and network function virtualisation, new types of problems arise which require efficient and fault-tolerant algorithms and network topologies for routing, storing and processing large amounts of data. The aim of the project is to develop and analyse such algorithms and networks for problems like routing, load balancing and the placement of network functions.

We seek candidates with excellent programming skills and a strong passion for theoretical computer science who are have experience in one or more of the following topics: the design and analysis of algorithms; computational complexity; the modelling and simulation of networks; graph theory.

The successful candidate will join and work closely with the Theory group and the Network group in Loughborough which is well-connected with other universities in the UK and abroad.

Find out more:
Please contact Dr Lars Nagel () for further information about the project and see

Entry requirements

Applicants should have, or expect to achieve, at least a strong 2:1 Honours degree (or equivalent) in Computer Science, Mathematics or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Theoretical Computer Science (especially Algorithms and / or Complexity Theory), Discrete Mathematics.

The 3-year studentship provides a tax-free stipend of £15,009 (2019 rate) per annum (in line with the standard research council rates) for the duration of the studentship plus tuition fees at the UK/EU rate. International (non-EU) students may apply however the total value of the studentship will be used towards the cost of the International tuition fee.

Loughborough University

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more:
and see:

Contact details

Name: Dr Lars Nagel
Email address:
Telephone number: +44 (0)1509 222328

How to apply

All applications should be made online at Under programme name, select ‘Computer Science’.

Please quote reference number: LN/CO/2020.

Funding Notes

This studentship will be awarded on a competitive basis to applicants who have applied to this project and/or any of the advertised projects prioritised for funding by the School of Science.

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