College of Science & Engineering

EPSRC Vacation Internship 2025/26

The University is currently recruiting undergraduate students for the Schools of Chemistry, Computing Science, Engineering, Mathematics and Statistics, Geographical and Earth Sciences, and Physics and Astronomy to work on a research project over the summer, under the EPSRC Vacation Internship scheme. 

The scheme supports undergraduate students to gain practical first-hand experience of research and encourages them to consider a research career. Students receive a salary of ca £470 per week (assuming satisfactory engagement with their research) and carry out a project lasting eight to ten weeks during the summer holiday. All students will be invited to a reception in September at which they will be required to present their research. 

Students should be in the middle years of a first degree within EPSRC's remit, and able to fulfil EPSRC doctoral training grant eligibility requirements by the end of their undergraduate degree (i.e be classified as home/EU for fee purposes).  

To apply, please complete the EPSRC Vacation Internships May 2026 and send it to scieng-gradschool@glasgow.ac.uk by Friday 29th May 2026. Projects will commence in early July (to be confirmed on discussion with the supervisor).  

Projects are available across the Schools as follows:

School of Chemistry

ProjectSupervisor(s)
Life Cycle Assessment of Consumables Used in Automated Flash Chromatography Dr Alex Loch
Spectroscopic characterisation of hybrid peptide-organic lanthanide complexes

Dr Drew Thomson

Inducing Chirality in 2D Materials Using Orbital Angular Momentum Light Beams   Dr Paula Laborda Lalaguna
Experimental Actinide Nano-chemistry for the Future of the Civil UK Plutonium In Dr Emma Gibson

School of Computing Science

ProjectSupervisor(s)

Formal verification for physical layer security in ISAC scenarios

Dr Michele Sevegnani

Embodied Affect Regulation focusing on Heart Rate with Electrotactile Feedback

Dr Patrizia Di Campli San Vito

Extracting complex and nested biomedical relations from published literature

Dr Jake Lever

Characterising LLM Inference on a Low-Cost RISC-V Matrix-Accelerated Platform

Dr Nikela Papadopoulou
Deep Learning for Climate Downscaling

Dr Linus Ericsson

School of Engineering

ProjectSupervisor(s)

Development of a Semi-Automatic Tool for Coronary Artery Plaque Segmentation and and Classification from OCT Images 

 Dr Sathish Kumar Marimuthu

Mode-Adaptive Multimodal Architecture for Assistive Social Intelligence

 Hira Hameed

Atomistic Design of 2D InSe Semiconductor Transistors for Post-Silicon Technolog

 Prof Vihar Georgiev

High Frequency Optoelectronics for smarter semiconductor Quantum Hardware

 Dr Giorgos Georgiou

Software prototyping of neuromorphic ICs enabling brain inspired, ultra efficient parallel computation  Dr Mohammed Waqas Mughal
Developing Hardware for Chip-scale Coherent Terahertz Lasers

Dr Kaveh Delfanazari

Evaluation of Embedded Radar Electronics for Cryogenic Quantum Instrumentation Dr Julien Le Kernec
Fighting Wildfires from the Air: Exploring Safe and Effective Fire Suppression Strategies with Real-time Multi-physics Simulations Oyedoyin Dada
Numerical Modelling of Flood Induced Riverbed Erosion

Dr Maggie Creed

Investigating the role of aortic mechanics in Marfan patients

Dr Ankush Aggarwal

Hydrogel-based delivery of predatory bacteria for biofilm control in water treat

Dr Ayo Ogundero

Simulation Enabled Design of Propulsion Machine for Hydrogen-Powered Electric Aircraft towards Net-Zero

Dr Wenjuan Song

School of Physics & Astronomy

ProjectSupervisor(s)

Ultrafast 3D fluorescence imaging via 2D-3D volume reconstruction

Dr Daniel Olesker

 

School of Mathematics and Statistics

ProjectSupervisor(s)

Developing an open-source, rapid ray tracer for aspherical lenses

Dr Valentin Aslanyan

Physics-Informed Neural Networks for Modelling Extreme Temperature Dynamics

Dr Vinny Davies

Deep Learning for Wildlife Monitoring

Dr Tiffany Vlaar

 

School of Geographical and Earth Sciences

ProjectSupervisor(s)

Generative AI in research software: Comparing AI-generated and human-written geospatial research software

Mr Joseph Shingleton