University College London Featured PhD Programmes
University College London Featured PhD Programmes
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University College London Featured PhD Programmes
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Information Science (self) PhD Projects, Programs & Scholarships

We have 82 Information Science (self) PhD Projects, Programs & Scholarships

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  Robotic Molecules: Self-repairing and Self-assembling Machine
  Dr S Miyashita
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to develop a totally new approach for the realization of self-repairable and self-assemble machines. We literally aim at making "living LEGO".
  Self-organisation as a theory of brain development
  Dr SP Wilson, Dr JV Stone
Applications accepted all year round

Funding Type

PhD Type

Self-organisation is a general theory of how function is assigned to cortical microcircuits. The theory predicts that a balance between cooperative and competitive interactions in local cortical circuits, consolidated by Hebbian learning, results in similar inputs being represented by nearby neurons.
  Internet of Things Infrastructure for Sustainable Wildlife Conservation (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project will investigate the design and development of an end-to-end, distributed, Internet of Things (IoT) infrastructure to support sustainable wildlife conservation.
  Data analysis for digital-entrepreneurship/self-employment (Application Ref: SF19/EE/CIS/ANWAR)
  Dr MN Anwar, Dr A Ali
Applications accepted all year round

Funding Type

PhD Type

This age of big data gives a great opportunity to turn large-size datasets with high-velocity and diverse structures into real advantage in many fields, such as health, economics, education and disaster prevention.
  Edge Computing for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project has two different research themes. (1) Edge Computing; (2) Data Science. (1) Edge Computing is the notion of performing computation close to the data generation source, by significantly reducing data communication latency and ensuring that private data is maintained closer to the data generation source.
  Privacy and Security by Design for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The design process for Internet of Things (IoT) applications is more complicated than for desktop, mobile, or web-based platforms.
  Semantic Web Technologies and Linked Data for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The ultimate goal of Semantic Web is to make the machine to understand the Internet data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) and OWL(Web Ontology Language).
  Adaptive Service Composition Techniques and Algorithms for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

Service composition is a collection of services where, many smaller services are combined together to a larger service. Service composition is the problem of aggregating services in such a way that given (functional and not functional) requirements are satisfied.
  Personal Data Store, Smart Cities Data Marketplaces, and Sensing as a Service for Internet of Things (Self-Funded Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things envisions the creation of an environment where everyday objects (e.g., microwaves, fridges, cars, coffee machines) are connected to the Internet and make users’ lives more productive, efficient, and convenient.
  Precision Medicine DTP – A novel data integration method for cellular social networks within self-organising multicellular systems
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher, Dr A Tsanas
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The quantification and interrogation of how the cells organise and interact with their environment is fundamental for advancing developmental biology, cancer research, pharmaceutics and medical diagnostics.
  The synthetic littermate project: How do natural experiences shape the functional organisation of the developing brain?
  Dr SP Wilson, Prof AJ Prescott
Applications accepted all year round

Funding Type

PhD Type

How do natural experiences shape the functional organisation of the developing brain? To address this question directly, we have been developing a novel robotic technology - the synthetic littermate (or ’surrogate’).
  Autonomous learning with Artificial Intelligence
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial.
  Multi-agent AI for coordinating a hardware gig economy
  Prof T Drysdale
Application Deadline: 25 March 2020

Funding Type

PhD Type

Gig economies have turned many traditional business models on their heads, and are poised to do the same yet again, but for one of the most traditional economies.
  Manufacturing 4.0: Design of Smart Manufacturing Systems
  Dr J Milisavljevic-Syed
Application Deadline: 1 November 2020

Funding Type

PhD Type

BACKGROUND. Conventional manufacturing processes are designed for mass production at a low cost. In recent years, globalization of markets has imposed demands on enterprises to respond rapidly to technological advances and changing preferences of a large customer base.
  Bioinformatics for Personalized and Precision Neoantigen Therapeutics in Cancer
  Prof T Hupp, Dr JA Alfaro
Applications accepted all year round

Funding Type

PhD Type

Despite the success of immune checkpoint inhibitors in the clinic, most cancer patients do not respond, and even among responders therapeutic resistance is a problem.
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