Five fully-funded PhD projects available for immediate start

13 Oct 2020

Do you know of good students still looking for PGR positions?

Colleagues across FSE have five fully funded PGR projects with immediate starts. Please share these opportunities with students who would make great applicants. 

Engineering synthetic ribosomal RNAs (rRNAs) in yeast - Project to explore the engineering of synthetic rDNAs. Open to good students with understanding of molecular biology, biotechnology and microbiology and ideally will be familiar with research in synthetic biology, biological materials and biosynthesis.

Lead supervisor: Prof P Cai

Industrial PhD Studentship in Unmanned Aerial Vehicles for Mine Detection Defence Science and Technology Laboratory (Dstl) – Project to advance state-of-the-art tech in the deployment of mine detection systems. Incredible opp to have global impact while working with a fantastic team. Open to students with a relevant Engineering subject, Physics or Mathematics.

Lead supervisor: Prof A Peyton

A numerical approach to evaluating uncertainty associated with microbial activity in near-field systems – Project to explore the impact of microbial metabolism on the safe disposal of radioactive waste. This project includes both experimental and modelling approaches, and the successful candidates should have a strong background in Microbial, Chemical, Geological or Environmental Sciences (BSc / Masters in Chemistry, Environmental Chemistry, Geochemistry or similar) or Environmental Engineering

Lead supervisor: Prof J Lloyd

Bayesian inference for bubbly flows (CFD and inverse UQ for investigation of drop/bubble dynamics) - The focus of this project is the investigation of specific two-phase flow problems such as the ones encountered in 3D printing, water treatment or chemical mixing. This PhD studentship offers an opportunity to apply the scientific method on real-life problems combining CFD physical modelling, mathematical and statistical modelling, and AI. The successful candidate must have sufficient maths/stats skillset.

Lead supervisor: Prof K Law

Control-Based Exploration of Disordered Systems – Project to focus on experiments in nonlinear dynamics. Successful candidate should have experience (or strong interest) in experiments, and a good undergraduate/masters degree in applied mathematics, physics or engineering.

Lead supervisor: Dr A Thompson