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Engineering Science Department offers a range of projects as part of UNIQ+

UNIQ + gives students from under-represented and disadvantaged backgrounds the opportunity to experience postgraduate study

UNIQ + is a research internship programme at the University of Oxford for students from disadvantaged and underrepresented backgrounds

Applications are now open for the University’s 2024 UNIQ+ postgraduate research internships. UNIQ+ research internships are designed to provide students from under-represented and disadvantaged backgrounds who are ordinarily resident in the UK with the opportunity to experience postgraduate study.

UNIQ+ gives students the chance to experience life as a graduate research student at Oxford, gaining skills and experience that we hope will enhance both their CV and any future postgraduate applications. During the seven-week programme in July and August, students will undertake a research project, attend training and information sessions, and have the opportunity to take part in social events. 

Projects are available in a wide range of subjects - see the full list here. Engineering Science are offering the following projects:

Professor Orestis Adamidis: Quantifying permeability changes in water-saturated sands during an earthquake

Dr Luke Doherty: Experimental hypersonic aerodynamics

Dr Boyan Gao: Dataset condensation with neural regulariser learning for crossing architecture generalisation

Professor Jakob Foerster: Learning reward attribution for General-Sum games

Dr Tobias Hermann: Experiments in a hypersonic wind tunnel

Professor James Kwan: Partial water splitting towards green hydrogen

Professor Emilio Martínez-Pañeda: Understanding hydrogen-metal interactions to enable a green energy transition

Professor Emilio Martínez-Pañeda: A new generation of multi-physics models for material degradation and failure

Professor Malavika Nair: Dynamic tissue engineering scaffolds

Dr Yangchen Pan: Business simulation models for AI-powered decision making

Dr Amanda Smyth: CFD of tip vortex instability in wind turbine wakes

Professor Philip Torr: Efficient occupancy identification by deep learning from images

Professor Philip Torr: Alternative methods of self-supervised learning of tractable generative models

Professor Noa Zilberman: Green Your Code!

Professor Noa Zilberman: Adding networks to green applications


During the internship students will receive a stipend as well as free accommodation in Oxford. Working with Oxford researchers, they will have the opportunity to improve their research skills and enhance their ability to make a competitive application for postgraduate study, as well as receiving advice on opportunities for further study and research careers.

UNIQ+ website.

Applications close at 12:00 midday UK time on Wednesday 21 February 2024.