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Loughborough University London

PhD opportunities with the Institute for Digital Technologies at Loughborough University London

PhD: 3 years full-time; 6 years part-time

Start dates: January, April, July, October.

Entry Requirements: An honours degree [2:1 or above] or equivalent overseas qualification.

The Institute for Digital Technologies offers research expertise and experience in a wide range of subject areas. Our academics are leading research in their field and are extremely well-networked with professionals in a range of industries and sectors.

By pursuing one of our postgraduate research programmes, you will have the opportunity to work with top researchers and industry leaders, and gain first-hand experience of real life problem-solving. Our aim is to create a vibrant, enthusiastic and forward-thinking community, where world-leading academics and talented students work closely together to research world-leading inventions.

Loughborough University London

Current research within the Institute focuses on several research themes, including:

Human behaviour analysis

  • Affective computing and emotion recognition, human-computer interaction, activity recognition and monitoring
  • biometric data processing, person re-identification and personality analysis.

Sports Analytics

  • Multimodal data processing and analysis for insight generation into physical athlete performance, tactical performance and risk factors
  • understanding of team-level tactics and decision-making patterns.

Intelligent and Autonomous Mobility

  • Multimodal data fusion for robust decision making in autonomous vehicles for free space detection, self-localisation, pedestrian activity recognition and anticipation
  • cooperative vehicle control, traffic analysis and optimisation in future cities.

Market Intelligence and Personalised E-Commerce

  • Consumer’s decision, engagement, and trust triggered by virtual presentation and information disclosure
  • consumer profiling and digital psychological metrics (affect, personality, preference, coercive inclination etc) revealed by clickstream data
  • social network analysis and insight generation
  • experiment of how recommendation algorithms influence consumer choices.

Advanced 5G applications

  • Processing and transmission of high-bandwidth, low-latency and interactive VR and AR media, UltraHD, Multi-View Video, High Dynamic Range content, volumetric and point-cloud media
  • intuitive data visualisation
  • immersive audio systems and applications
  • intelligent network resource allocation, multi-access edge computing, mmWave 5G systems.

Trust, Identity, Privacy and Security

  • Privacy-preserving data processing techniques, adversarial machine learning, advanced cryptographic techniques
  • user activity analysis and modelling
  • identification, evaluation and mitigation of emerging cyber-threats using advanced signal processing and machine learning methods.

Visit our website for further details.

How to apply

We strongly advise you to contact possible supervisors within the Institute ahead of submitting your application. Applications are to be made via the University’s online application portal.

Your application should include:

  1. two academic references
  2. an academic transcript of your undergraduate degree showing the modules studied and marks attained
  3. a copy of your degree certificate, if you have already graduated
  4. a personal statement
  5. a research proposal. You can find advice on writing a proposal online.

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