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We have 707 machine PhD Projects, Programmes & Scholarships

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machine PhD Projects, Programmes & Scholarships

We have 707 machine PhD Projects, Programmes & Scholarships

Exploitation of Artificial Intelligence and Machine Learning for Quantity Surveying Practice: Using AI as an opportunity to improve Cost Certainty

Artificial Intelligence (AI) and Machine Learning (ML) often tends to go hand in hand for its propensity to mimic human cognitive functions such as problem solving, pattern recognition and respond to certain actions accordingly. Read more

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more

Audio/acoustics Machine Learning

One fully-funded PhD studentship including fees and stipend is available for an outstanding candidate to join the Centre for Vision, Speech and Signal Processing (CVSSP), part of the University of Surrey’s Institute for People-centred Artificial Intelligence (PAI), in partnership with Fraunhofer Institute for Integrated Circuits IIS. Read more

PhD Machine Learning for Medical Imaging

  Research Group: Applied Optics
We are offering a fully funded PhD studentship in the application of machine learning to medical imaging, especially imaging of cancer. Read more

CDT-QTE: Efficient end-to-end quantum machine learning strategies for imaging

Supervisory Team: Prof Thomas Blumensath. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

Machine Learning for 4D Egocentric Video Understanding

The project. Applications are invited for a fully funded PhD studentships in Computer Vision and Machine Learning on the topic of 4D Video Understanding for footage from Egocentric Cameras of unscripted daily activities. Read more

Argumentative Machine Learning

Project description. AI has made significant progress in recent years and has become a part of our daily lives, for instance in the form of virtual assistants, smart homes, and advanced driver assistant systems in cars. Read more

Machine unlearning for large language models

ChatGPT has popularized Large Language Models (LLMs), which are now at the forefront of today's AI boom. The LLMs are remarkable tools that can understand, generate, and interact with human language in a natural way. Read more

Novel Machine Learning for Forecasting PV output

The rapid proliferation of wind and solar installations, coupled with the growing impact of climate change on the volatile UK weather, creates formidable operable challenges for the UK electricity Grid. Read more

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Phased array fibre lasers with machine learning

Supervisory Team: Prof Johan Nilsson, Dr William Kerridge-Johns. Project description. This project combines state of the art optical fibre laser amplifiers with machine learning control to produce next-generation lasers. Read more

Optimisation of additive manufacturing process using data-driven machine-learning approach (Fully Funded PhD)

Lead supervisor: Dr Chu Lun Alex Leung. Eligibility: Open to UK students and international students. Fully Funded. 3 years of Home tuition fees (currently £5,860/year) and a tax-free maintenance stipend of £24,000 per year. Read more

Improving the efficiency of adult auditory rehabilitation through automation and machine learning

Supervisory Team.   Steven Bell, Thomas Blumensath, Stefan Bleeck. Project description. There is a large cost in terms of staff time and devices in supplying hearing aid provision to adults in the UK and a shortage of audiology staff able to deliver services. Read more

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