The Computer Science department is extremely active in knowledge exchange and enterprise activities, and is emerging for its fast-growing research environment and reputation. Since the last REF 2014 the department has doubled its research capacity and current members have demonstrable evidence of international world leading research.
The research centre for Data and Complex Systems has been formed to support the development of an environment of international excellence in the areas of computer and data science with a particular emphasis on data analytics, data representation and visualisation; interoperable and interconnected distributed technologies and infrastructures; future internet, cloud computing, IoTs and disruptive technologies, and information and cybersecurity.
The Creative Virtual Reality Lab conducts visual computing research with a particular emphasis on impact-driven research in virtual and augmented reality, games and serious games, image processing and computer vision, 3D graphics and perception, human computer interaction, complex systems simulation, robotics and smart systems. The lab uses the Tech Hub facilities including the Computer Augmented Virtual Environment (CAVE) and a range of technologies for full immersive experiences.
The Department has a number of full/part time PhD students pursuing work in different areas of computing and offers MRes in Computing programme for those with exciting and innovative research ideas and interests.
Research proposals are invited on the topics related to the thematic areas of the research centre as well as to the following:
- Big data analytics, network theory, machine and deep learning, fog/edge computing, intelligent video analytics, human re-identification in surveillance videos;
- Architectures, resource scheduling and provisioning, cloud computing, Future Internet, Internet of Things, embedded computing, ubiquitous, agents, software engineering, smart cities and systems, wireless communications;
- Augmented and virtual reality, computer vision, visual computing, visual and sense mining, wearable computing, 3D computer graphics;
- Data visualisation, visual data analytics, machine vision, scientific visualisation, image segmentation, pattern recognition, object tracking, facial expression, gesture or emotions recognition, smart surveillance system, crowd modelling and simulation;
- Data/web science, decentralised data analytics, data graphs, data-intensive virtual sensing, self-regulating/self-managed and autonomous systems;
- Social mining and analytics, social sensing, semantics, social and network graphs, reduced topologies, cognitive science, neural network modelling, smart sensors, virtual sensor analytics;
- Text and data mining, machine learning, noSQL analytics, natural language processing, pattern recognition, sentiment analysis, opinion mining, text summarisation, relation/fact/event extraction form text, big textual data.
The Department is currently advertising for Graduate Teaching Assistantship/PhD Studentships. For more information or to apply go to: https://jobs.edgehill.ac.uk/vacancy.aspx?ref=EHGT155-0118
For more details on PhD research opportunities and MRes Programme contact:
Professor Ella Pereira