11 image-processing scholarships at Swansea University

Civil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive Evaluation

and provide a second opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning

Biomedical Engineering Fully Funded Swansea and Boston Scientific Ltd PhD Scholarship: Bioprosthetic Design Evaluation Through Experimental-Computational Techniques

cycles per year!), whilst ensuring optimal cardiovascular function for the patient. This project proposes to integrate state-of-the-art image-based measurement techniques with computational models for a

Biomedical Engineering: Fully Funded EPSRC iCASE and Airbus Operations Ltd PhD Scholarship: Digital Image Correlation for Mechanical Testing at Cryogenic Temperature

, Digital Image Correlation (DIC), Mechanical Engineering, Aerospace Engineering, Materials, Cryogenics, Hydrogen Project start date: 1 October 2024 (Enrolment open from mid-September) Supervisors: Dr Hari

Science and Engineering: Fully Funded EPSRC PhD Scholarship: Advanced Semiconductors Photodetectors

photodetection. They have certain attractive features such as highly tunable bandgaps (which defines the spectral responsivity) and can be processed over large areas, with low embodied energy and in flexible form

Computer Science: Fully Funded EPSRC and RCNDE PhD Scholarship: Real Time Tracking of Cognitive Load to Assess Human Factors During Inspections

execution. However, currently, measuring CL involves bulky, expensive techniques such as functional magnetic resonance imaging and magnetoencephalography, limiting their practicality. Recent progress in

Computer Science Fully Funded Swansea University PhD Scholarship: Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning (Ecidna-ML)

for information extraction, pattern recognition and uncertainty estimation concerning the available clinical data. ML algorithms will enable new predictions and signal extrapolation from image datasets of cellular

Nanotechnology Fully Funded EPSRC and Grove Materials Ltd PhD Scholarship: Designer Nanoparticles for Biomedicine and Energy: Physics Meets Biology and Chemistry

. The production methods will combine atomistic and molecular (including protein molecule) deposition in vacuum with wafer and roll-to-roll technology and post-processing to harvest nanoparticles on a scale

Materials Engineering Fully Funded UK Shared Prosperity Fund MSc by Research Scholarship: Designer Nanoparticles for Biomedicine and Energy

will combine atomistic and molecular (including protein molecule) deposition in vacuum with wafer and roll-to-roll technology, and post-processing to harvest nanoparticles on a scale beginning with grams

Chemical Engineering Fully Funded EPSRC ICase and DSTL PhD Scholarship: Development of Protein-Based Adhesives for Defence- Focussed Materials Engineering Applications

aim to eliminate the need for intricate cleaning and priming processes, overcoming challenges related to durability and variations in wetting and thermal expansion rates among bonded materials

Materials Engineering: Fully Funded Swansea University and the Coated 3 Industry Fund PhD Scholarship: Zinc Coating Innovations for Superior Corrosion Performance

electrochemical corrosion assessment to design, prototype, screen, upscale, assess and demo the next generation of corrosion resistant zinc-based coatings. The goal is to produce new alloys and coatings that can be