Quantum-Enhanced Smart Data Governance

We are offering a self-funded PhD position with the Brunel Business School, focusing on quantum-enhanced smart data governance.

Applications are accepted on a rolling basis.

If you have any questions about the project or would like to arrange an informal discussion, please reach out to Dr Asieh Hosseini Tabaghdehi at asieh.hosseinitabaghdehi@brunel.ac.uk.

Research area

Immerse yourself in the specialised field of Quantum Computing and Smart Data Governance. This area focuses on leveraging quantum principles such as superposition, entanglement, and quantum parallelism to improve the scalability, processing speed, and complexity of data governance systems. You will have the opportunity to design quantum-enabled smart data models that efficiently process and secure vast and intricate datasets, facilitating better decision-making, enhanced data privacy, and improved predictive analytics.

Project description

You will play a key role in advancing research on how quantum computing can enhance data management, privacy, and security. This project aims to develop new methodologies for creating quantum-enabled smart data models that drive better decision-making and provide a platform for you to develop your skills and make impactful contributions.

Key focus areas

As a PhD candidate, you will focus on:

  • Quantum Data Encryption and Privacy: Develop quantum encryption techniques that enable secure data storage and transmission, making smart data governance systems more resilient against cyber threats.
  • Quantum-Optimized Data Processing: Investigate how quantum computing can accelerate data processing tasks in smart data systems, improving efficiency in handling large-scale, high-dimensional datasets in real-time.
  • Quantum-Enabled Data Governance Frameworks: Create governance frameworks that integrate quantum computing's capabilities for data auditing, access control, and compliance monitoring, ensuring the integrity and ethical use of data.
  • Quantum Machine Learning for Data Insights: Explore how quantum algorithms can be applied to machine learning models for enhanced data analysis, pattern recognition, and predictive capabilities, unlocking new insights from complex datasets.
  • Ethical Implications of Quantum-Driven Data Systems: Examine the ethical considerations and potential risks associated with merging quantum technologies with smart data governance, particularly regarding transparency, accountability, and fairness in automated decision-making.

This research area seeks to bridge the gap between quantum computing and modern data governance, aiming to create innovative solutions for data-driven industries while ensuring responsible and sustainable use of emerging technologies.

 

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.