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ENCODE: A platform for modelling users’ bEhaviour iN COnnected DEvices [Self-Funded Students Only]

   Cardiff School of Computer Science & Informatics

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  Dr P Eslambolchilar, Dr L Turner  Applications accepted all year round  Self-Funded PhD Students Only

About the Project


Smartphones are ubiquitous amongst daily life, where the user is connected to a number of apps and services on-the-go from communication to health monitoring to entertainment. The impact on users’ health, wellbeing, safety, and privacy are increasing at the same rate. To enable appropriate ubiquity in the use of next generation connected devices, e.g. mixed reality, it is crucial to establish appropriate methods and protocols for data collection beyond lab studies and over the long term. Elevating the capability of in-the-wild smartphone behaviour monitoring for the mutual benefit of users and researchers. Additionally, interest lies beyond Computer Science and crosses into other disciplines including psychology, social sciences, and law.


The project aims to

1-     Create a platform to log Android smartphone users’ behavious while interacting with their handset on day to day basis anonymously and in a privacy-preserving manner and make the data openly available for the research community.

2-     Utilise the platform to enable consent-driven data collection at scale.

3-     Investigate the hypotheses for social behaviour markers i.e., wellbeing, and individual behaviour modelling i.e., human operator modelling.


The project starts with a comprehensive review of the behavioral data collected from smartphones, processing such data in a privacy-preserving and anonymised manner, human behaviour modelling in interaction with smartphones, and evaluation techniques used by the most recent and representative research works in the literature. After that, the platform will be created, emphasizing smartphone characteristics and preserving individual’s privacy and anonymity. Then the platform will fulfil the aims (2-3) explained above.


This project provides researchers within and beyond Computer Science with a rich dataset of the most relevant human behaviour in interaction with smartphones. It also delivers hypotheses on social behaviour markers and support for human operator models for future generation connected devices.


Human-Computer Interaction, human-operator modelling, statistics, smartphone behaviour, ubiquitous computing, IoT

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

This project is accepting applications all year round, for self-funded candidates via 

In order to be considered candidates must submit the following information: 

  • Supporting statement 
  • CV 
  • In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
  • Qualification certificates and Transcripts
  • Proof of Funding. For example, a letter of intent from your sponsor or confirmation of self-funded status (In the funding field of your application, insert Self-Funded)
  • References x 2 
  • Proof of English language (if applicable)

For more information about this project, please contact and

If you have any questions or need more information, please contact 

Funding Notes

This project is offered for self-funded students only, or those with their own sponsorship or scholarship award.

How good is research at Cardiff University in Computer Science and Informatics?

Research output data provided by the Research Excellence Framework (REF)

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