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We have 306 Data Science PhD Projects, Programmes & Scholarships for Self-funded Students

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Data Science PhD Projects, Programmes & Scholarships for Self-funded Students

We have 306 Data Science PhD Projects, Programmes & Scholarships for Self-funded Students

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Developing digital twin and digital product passports for high-value electric machines to support their end-of-life decisions

In support of the research activities of the EPRSC-funded Future Electrical Machines Manufacturing Hub, the University of Sheffield is offering a funded PhD scholarship to undertake research in the development of digital twin and digital product passports for high-value electric machines to support their end-of-life decisions. Read more

High-dimensional computations with applications to uncertainty quantification for multiphysics engineering systems

The Strathclyde Centre for Doctoral Training (SCDT) in "Data-driven uncertainty-aware multiphysics simulations" (StrathDRUMS) is a new, multi-disciplinary centre of the University of Strathclyde, which will carry out cutting-edge research in data-driven modelling and uncertainty quantification for multiphysics engineering systems. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Developing a Systematic Food Texture Characterisation Methodology for Advanced Manufacturing

Food texture is related to the way our senses perceive and feel the rheological and mechanical properties of edible substances. For example, a potato chip is crispy; an apple is crunchy; butter is soft; bread is firm; candy is hard; yogurt is smooth; cream is thick; cake is moist, and honey is sticky. Read more

Responsible Decentralised AI and Big Data Analytics

  Research Group: Applied Computing
The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Advanced Maintenance Management of Offshore Renewable Energy Systems

  Research Group: Communication and Networks
Renewable energy plays an importance role in the road to net-zero greenhouse gas emissions, limiting the global temperature increase by up to 1.5°C by 2050. Read more

Data Quality and Cleaning in Big Data

The proliferation of Big Data analytics is developing ever more sophisticated models for intelligent data-driven insight and decision making in business and in other areas such as health and social care. Read more

Characterising Automatically Generated Text

Research is needed to understand the differences between human and machine generated text. Prior research has focused on identification of identification of deceptive text, such as phishing attempts or bot-generated tweets. Read more

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