PhD studentship: Scheduling and Data Flow Problems in Special-Purpose Networks

Loughborough University

Start date of studentship: 1st October 2018


Primary supervisor: Dr Lars Nagel

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 a career in academia/research.

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:

Full Project Detail:

This project seeks to investigate scheduling and data flow problems in present-day and future networks. With current developments like the Internet of Things, Industry 4.0 and Big Data processing new types of special-purpose networks arise which must cope with huge amounts of data, especially sensor data that need to be routed, stored and processed. These networks can be heterogeneous with respect to their layout and hardware, prone to component failures and/or limited by their structural and temporal restrictions.

The main challenge of the project is to model such networks and network problems and analyse them theoretically applying mathematical methods or practically using, e.g., simulations. Besides scheduling and flow problems, another aim is to develop criteria and standards for the design of special-purpose networks under above limitations.

We seek candidates with a strong passion for theoretical computer science who like to do research in the following areas: (i) algorithms / protocols including randomized and approximation algorithms, (ii) computational complexity, (iii) modelling and network design, (iv) scheduling and load balancing, (v) flow and data gathering problems, (vi) discrete mathematics, especially 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:

Project information: please contact Dr Lars Nagel (

Computer Science Department:

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.

Funding information:

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.

The 3-year studentship provides a tax-free stipend of £14,553 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 in the first instance.

Contact details:

Name: Dr Lars Nagel


Tel: 01509-222328

How to apply:

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

Please quote reference: LN/CO/2018

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