hybrid Jobs

**Application deadline: **31/05/2026
**Research theme: **Metallic materials
How to apply: https://uom.link/pgr-apply-2425

UK only

This 3.5-year PhD project is fully funded and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026.

We recommend that you apply early as the advert may be removed before the de...

Jochen Blumberger at the Condensed Matter and Materials Physics Laboratory, University College London, UK.

Interested candidates may want to work on one of the following two projects.

Project 1: Machine Learning Molecular Dynamics.

The project involves the** development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first principles molecular dynamics simulations.** You will contribute to the development of novel work flow...

Large-scale wind turbines, specifically located offshore, present very specific technical challenges. Structural design and optimisation of performance in energy conversion are dependent on a correct estimation of the effects of flow, but scale and interaction between devices have a significant impact.

In this project you will work on and develop numerical modelling capabilities for arrays of turbines with non-homogeneous flows and wake effects. The modelling technology will be leveraged to devel...

Supervisor: Dr Ravindra Desai, University of Warwick

Space weather is driven by eruptions of plasma from the Sun’s surface called coronal mass ejections. Upon arrival at Earth, these not only extend the northern and southern lights to low latitudes but can knock out satellites, communications and entire power grids. Extreme events with low return periods are especially important for power plants where 1 in 10,000 year risk levels are required to be mitigated for. Through collaboration with EDF En...

University College London (UCL) is a globally recognised university with a strong reputation for academic excellence, innovation, and real-world impact. UCL Mechanical Engineering conducts high-quality research across healthcare technologies, sustainable fuels, green energy, and advanced manufacturing. In the Research Excellence Framework (REF 2014), over 90% of the department’s research was rated world-leading or internationally excellent. Doctoral researchers benefit from access to advanced la...

The rapid adoption of Industrial Internet of Things (IIoT) technologies has transformed manufacturing, offering greater efficiency, real-time monitoring, and data-driven decision-making. However, this interconnectivity introduces significant cybersecurity vulnerabilities, leaving systems exposed to cyber-attacks. Traditional intrusion detection systems (IDS) often fall short in handling the real-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficie...

The Frankfurt Institute for Advanced Studies (FIAS) and the newly funded Cluster of Excellence SCALE (SubCellular Architecture of LifE) are looking for several Independent Research Group Leaders (f/m/d) (for theoretical and computational research at FIAS).

The primary goal of the initiative is to create Digital Twins of sub-cellular architecture to map and simulate the internal structure of cells with unprecedented detail. By integrating diverse fields, we aim to gain a deeper understanding of ke...

The UK’s railway bridge asset stock represents over 80% well-aged (>50 years) infrastructure, often carrying loads beyond their original design capacity, hence in urgent need of a reliable real-time damage identification system. The current practice of visual inspection of bridges can be subjective and exposes the workforce to hazardous job sites. In recent years, there have been significant efforts in instrumenting bridges and assessing the condition of the bridge using direct measurements. The...

Layered double hydroxides (LDHs) are tuneable two-dimensional nanomaterials with demonstrated promise as platforms for the delivery of biological molecules via aerosol formulations. Their unique material properties—namely, adjustable particle size, plate-like morphology, and surface charge—enable enhanced penetration through biological barriers, optimised uptake by target cells, and control over release kinetics. In aerosol science, such material characteristics are critical for influencing depo...