Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 191 vision science PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


vision science PhD Projects, Programmes & Scholarships

We have 191 vision science PhD Projects, Programmes & Scholarships

Autonomous Robots for Gloveboxes

If you are interested in robotics, and have strong programming and software engineering skills, this could be a project for you. Successful completion of this project could lead to career prospects inside the UKAEA. Read more

Brain-inspired See-Think-Act Intelligent Machines

There is an ongoing revolution in developing autonomous intelligence machines to greatly improve the effectiveness and efficiency of sensory perception, decision-making, and active control. Read more

Event-based Visual Understanding in Complex Environment [Self Funded Students Only]

  Research Group: Visual Computing
Events record dynamic changes in environments. They are sparse, but an important information source that draw our attention and make us aware of the dynamic surroundings. Read more

AI-Driven Automotive Engineering Design

The intersection of Generative Artificial Intelligence (AI) and engineering design presents a promising avenue for innovation and efficiency in various industries. Read more

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

Understanding Deep Learning

Supervisory Team. Antonia Marcu, Jonathon Hare. Project description. Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. Read more

Wearable Thermoelectric Generators Using Advanced Materials

Supervisory Team: Dr Katrina Morgan, Dr Ioannis Zeimpekis . Project description. Wearable technologies are revolutionising our daily lives, integrating everyday objects into our clothes, accessories and even our bodies. Read more

Filtering Results