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We have 34 Artificial Intelligence (chemical) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (chemical) PhD Projects, Programmes & Scholarships

We have 34 Artificial Intelligence (chemical) PhD Projects, Programmes & Scholarships

Evaluation of properties of wood pellets for Bioenergy and Carbon Capture and Storage Application

The current state of the art for utilisation of wood pellets is co-firing and the co-generation of biomass combustion products. The safe and effective storage, transportation and processing of wood pellets is then highly important for bioenergy applications. Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

The Universities for Nottingham and the Centre for Sustainable Chemistry - PhD Scholarships available

We invite suitably qualified and highly motivated applicants from STEM disciplines to apply for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University. Read more

The Universities for Nottingham and the Centre for Sustainable Chemistry - PhD Scholarships available

We invite suitably qualified and highly motivated applicants from STEM disciplines to apply for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University. Read more
Last chance to apply

Towards reliable detection of uterine contraction: Development of a nanostructured biocompatible electrohysterography electrode array system

This is a four year collaborative studentship which requires the candidate to spend two full years based at Coventry University (UK) and two years based at A*STAR Research Institute (Singapore). Read more

Accelerated Discovery of Next Generation Polymers Using Artificially Intelligent Reactor Platforms

  Research Group: School of Chemical and Process Engineering
The application of digital technologies is transforming the discovery and manufacturing process within materials science. This therefore represents perhaps the only opportunity to address the urgent need for new sustainable, high performing materials to facilitate more efficient processes (e.g. Read more
Last chance to apply

Machine learning algorithms for ab initio-based paramagnetic NMR analysis

The University of Bath is inviting applications for the following PhD project under the supervision of Dr Elizaveta Suturina in the Department of Chemistry. Read more

Particle properties by design

  Research Group: School of Chemical and Process Engineering
This interdisciplinary project presents an exciting opportunity for an ambitious scientist or engineer to work across the boundaries of chemistry, physics and engineering, with opportunities to develop a broad portfolio of skills. Read more
Last chance to apply

Generative AI for Non-invasive MRI Enhancement in Brain Tumour Diagnosis

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Deploying safer robot chemists in real laboratory environments

Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more

Laser-based fabrication of medical diagnostic devices in paper

The focus of our group’s research is the development of user-friendly sensors or devices for affordable and rapid clinical diagnostic testing at the point-of-care (POC) of a patient, i.e., at their hospital bedside or in a care/nursing home, or in ambulance or at home. Read more

High-power Fibre Lasers for Visible Wavelengths

Supervisory Team: Prof Jayanta Sahu and Prof Johan Nilsson. Project description. Visible lasers are indispensable for applications such as display, underwater communication, microscopy, bio-photonics, optical storage, and materials processing. Read more

Human-AI Collaboration for Resilient Emergency Care

About the Project. Autonomous and AI systems are an increasing part of daily life. As the range and impact of such systems increase due to fast advances in their underlying technology, UKRI has funded a number of investigatory research “nodes” to address the trustworthiness of autonomous systems. Read more

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