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  • Writer's pictureOmran Aburayya

Fully Funded PhD Scholarships at University of Strathclyde, United Kingdom

If you hold a master's degree and looking for a fully funded PhD scholarship in UK, you're in luck.

University of Strathclyde, UK invites online application for multiple Fully funded PhD positions in various research areas, particularly, Artificial intelligence, Chemistry, Physics, and materials science. Below we list the positions with a brief description and direct link to each position.


Project Details:

The PhD project aims to advance mechanochemical technology for hydrogen isotope separation. The goals include:

  • Proving mechanochemical reactions can separate isotopes from water and gas.

  • Assessing isotope ratio changes relative to particle size and new rock surface area.

  • Identifying the most effective rock type for isotope separation.

  • Evaluating temperature's impact on these reactions.

  • Investigating precise isotope release from rock powders.

Academic Qualifications:

Prior mechanochemistry knowledge isn't required. Graduates in materials science, chemistry, physics, chemical or environmental engineering are ideal candidates.

Application Deadline: 26 June 2024


Project Details:

This project will research and develop a novel lab-on-chip platform for the detection of analytes with potential uses in bio-medicine, defence and security, and environmental monitoring. The platform will combine two innovations: (i) microsize LEDs to interrogate the sensing assays and (ii) colloidal nanomaterials, and related structures, for enhancing the sensitivity of the assays. The PhD student will have access to state-of-the-art laboratory infrastructure and scientific expertise.

Academic Qualifications:

MPhys or MEng degree or an MSc with merit (over 60%) in a relevant area.

Application Deadline: 30 June 2024


Project Overview:

We are recruiting for a four-year PhD project on “Artificial Intelligence algorithms to predict aggregation and gel phenomena in peptide synthesis and isolation”. The position is funded by the UKRI iCASE scheme and a major international pharmaceutical company. You will benefit from the excellent training and research opportunities at the University of Strathclyde, while having the chance to network and learn about pharmaceutical development by working in close collaboration with the industrial partner including visiting for short periods in the collaborators laboratories in the USA.

Academic Qualifications:

Degree in chemistry, physics, computer science or math is required. Applicants should have experience in programming in python.

Application Deadline: 31 July 2024


Project Overview:

A fully funded PhD studentship (3 years) in computational chemistry (materials discovery) is open at the University of Strathclyde commencing October 2024.

This PhD will involve conducting cutting-edge research to utilize Artificial Intelligence (AI) in expediting the discovery of functional molecular materials crucial for a wide range of applications, spanning from renewable energy technologies to advanced electronics. Specifically, by employing advanced physical models and harnessing recent advancements in AI, tailored automated workflows will be developed for high-throughput screening of materials databases, effectively directing exploration towards materials possessing desired properties. Consequently, this research will accelerate the discovery and optimization of functional materials, thereby advancing the field of materials science.

Academic Qualifications:

Successful applicants should have a first or upper second undergraduate degree or Master’s degree in a relevant subject, including Chemistry, Physics, Computer Science, Maths and Stats, Physical Sciences, Materials Science.

Application Deadline: 31 May 2024


Project Overview:

This project will investigate the concept of such long baseline SST systems in multistatic (2 or more receivers) configurations. The advantage of such a system is that multiple observations of a target can be acquired from a single transmission point. Furthermore, by exploiting multiple remote receivers, the target can be observed from different aspect angles which can be extremely beneficial for detection and identification purposes.

The research aims to develop novel processing solutions to enhance the capability to detect and monitor space targets from this innovative sensing scenario. The main objectives will include the development of algorithms for advanced multistatic Inverse Synthetic Aperture Imaging for target attitude estimation, AI/ML based space target recognition and target manoeuvre detection/classification.

Academic Qualifications:

MSc or BSc in Electronic and Electrical Engineering or Physics.

Application Deadline: 30 September 2024


Project Overview:

The new interdisciplinary Leverhulme Doctoral School in Nature-Inspired Acoustics (NIA) is seeking excellent candidates for its first cohort of PhD students.

Biomimicry studies nature's scientific principles and uses them as inspiration for designs or processes with the goal of solving human problems. The interdisciplinary research of the new doctoral school aims to pioneer discoveries in basic materials science and measurement sciences to develop technologies for creating complex biomimetic acoustic structures and to develop biomimetic sensors such as miniaturised, low-energy, insect-inspired antennae.

Academic Qualifications:

MSc, in Engineering, Physics.

Application Deadline: 31 August 2024



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