EPSRC Vacation Scholars 2020

The University is currently recruiting 12 undergraduate students for the Schools of Chemistry, Computing Science, Engineering, Geographical & Earth Sciences, Mathematics & Statistics and Physics & Astronomy to work on a research project over the summer, under the EPSRC Vacation Scholars 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 £330 per week (assuming satisfactory engagement with their research) and carry out a project lasting eight-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).  

Applications should be submitted to scieng-college-ugpgoffice@glasgow.ac.uk by Friday 18th June 2021. Projects will commence in early July (to be confirmed on discussion with the supervisor).  

EPSRC Vacation Internship Application 2021

Projects are available across the Schools as follows:

School of Chemistry


Using Generative Machine Learning to Reconstruct 3D Objects

Dr Juan Manuel Parrilla Gutierrez
SmartDots: Luminescent Polymer-Lanthanide Nanoparticles for Deep Tissue Imaging


Dr William Peveler & Dr Joy Farnaby & Dr Bernhard Schmidt


School of Computing Science


T2FA: Tangible Two-Factor Authentication

Dr Karola Marky

Identifying Similar Coronavirus Research Papers for the CoronaCentral Portal

Dr Jake Lever


School of Engineering


Experimental characterisation of multiphase flow-induced vibration in horizonal and curved pipe flow

Mr Alexander Elliott & Mr Graeme Hunt

Towards Net Zero Carbon by 2050: An Intelligent Dashboard to Promote Pro-Environmental Behaviour

Dr Ahmad Taha

Ultrasound-based prediction of vascular disease development

Dr Ankush Aggarwal

Artificial Intelligence-driven Quantum Nano-engineering of Chip-integrated Millimetre-waves to Terahertz Light Sources

Dr Kaveh Delfanazari

Rapid Automatic Meshing within ICEM CFD for eVTOL applications

Dr Thomas Fitzgibbon


School of Mathematics & Statistics


 Visualising Output of Spatio-Temporal Statistical Models to Improve Communication in Epidemiology

 Dr Ben Swallow & Craig Wilkie


School of Physics & Astronomy


Deciphering In Vivo Interaction of Photons with Biological Tissue for Medical Diagnostics

Dr Akhil Kallepalli 

Mixed-Signal Application-Specific Integrated Circuit (ASIC) Design for the “Wee-g” MEMS Gravimeter

Dr Abhinav Prasd