Postgraduate study for the degree of PhD is offered in the school’s main research areas and also in other fields such as computer performance, CASE tools, structured editors and natural language processing. The degree of MPhil (by thesis) is also available.
Postgraduates without sufficient training in computer science at first-degree level may be required to attend appropriate taught modules.
The school also offers New Route PhD and MRes qualifications for postgraduates who do not have the background for direct entry to an MPhil or PhD. Please see the following websites for more information:
Postgraduate Application Process
FAQs
Automated Scheduling, Optimisation and Planning Group
Research into models, heuristics and algorithms for automatically producing high-quality solutions to a variety of real-world scheduling and optimisation problems, including timetabling, bioinformatics, rostering, mobile collaborative environments, production scheduling, logistics, space allocation and stock cutting.
Contact:
Professor Graham Kendall (Deputy Head of ASAP)
t: +44 (0)115 846 6514
e: gxk@cs.nott.ac.uk
w: www.asap.cs.nott.ac.uk/
Foundations of Programming (FoP)
The aim is to make substantial gains in the effectiveness of mathematical reasoning and apply such gains to the construction of computer programmes.
The group’s research is currently structured around the following main themes: Algebra of Programming (the use of algebraic techniques for constructing, transforming and reasoning about programmes); Functional Programming (the theory and practice of functional programming languages such as Haskell); and Representation and Reasoning in Computer Science and AI (the development of fundamental logical techniques to represent and reason about computational processes.
Contact:
Professor Roland Backhouse (Head of FoP)
t: +44 (0)115 951 4212
e: rcb@cs.nott.ac.uk
w: www.cs.nott.ac.uk/Research/fop/
The Mixed-Reality Laboratory (MRL)
The MRL is an interdisciplinary studio facility where computer scientists, psychologists, sociologists, engineers, architects and artists collaborate to explore the potential of ubiquitous, mobile and mixed reality technologies to shape everyday life.
Contact:
Dr Hazel Glover
t: +44 (0)115 846 6780
e: hazel@cs.nott.ac.uk
w: www.mrl.nott.ac.uk
Intelligent Modelling and Analysis (IMA)
The IMA group undertakes research into intelligent modelling and data analysis techniques to enable deeper and clearer understanding of complex physical and physiological problems. A particular strength of the group lies in the biomedical and security fields where extremely large data volumes have to be analysed in (near) real-time to very high levels of accuracy.
Typical techniques used by the IMA group include: artificial intelligence based data mining, artificial immune systems, computational modelling, discrete and agent-based simulation, fuzzy methodologies, image analysis and multi-sensor data fusion.
IMA's main research objectives are to:
- conduct inter-disciplinary research to investigate novel and adventurous real-world problems
- focus on modelling, representation and transformation techniques to enable better decisions
- support the integration of emerging methodologies with more traditional approaches
- explore the applicability of complexity science to real-world challenges
Contact:
Professor Uwe Aickelin
t: +44 (0)115 95 14215
e: info@ima.ac.uk
w: www.ima.ac.uk
The Informatics Institute of Information Technology
This part of the school is responsible for full- and part-time taught masters courses in computing. It also supports research and development in areas of IT which are directly relevant to industry and commerce.
The school is also involved in two cross-disciplinary groups:
Interdisciplinary Computing and Complex Systems (ICOS)
The Learning Sciences Research Institute (LSRI)
A collaboration between the Schools of Computer Science, Education, and Psychology. The LSRI researches learning and new technologies.
www.lsri.nottingham.ac.uk/index.php