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We have 58 Engineering (statistical) PhD Projects, Programmes & Scholarships

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Engineering (statistical) PhD Projects, Programmes & Scholarships

We have 58 Engineering (statistical) PhD Projects, Programmes & Scholarships

Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.

  Research Group: Healthcare Engineering
How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

  Research Group: Intelligent Systems and Robotics
Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

Robust Computational Methods for High-Dimensional Imaging

This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches.   The project is funded for 3.5 years for international students and a ~£17K annual stipend. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Model-based Approach for Prognostics Health Management (PHM) for Fusion Reactors

  Research Group: Plasma and fusion science and technologies
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI, bringing about a revolution in the design and operation of systems. Read more

Programming Colloidal Self-Assembly for Advanced Materials

A PhD place is available with Dr Dwaipayan Chakrabarti in the School of Chemistry at the University of Birmingham on a project themed on designing and developing colloidal advanced materials, using high-performance computing, underpinned by theories of statistical mechanics and wave propagation in periodic structures. Read more

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