Filtered Engineering and Technology Jobs

Fully Funded PhD Studentship (Home Fees)

Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data

Supervisor: Professor Angela Wood (Professor of Biostatistics and Health Data Science)

Start date: January 2027 (or earlier)

We are offering an exciting fully funded PhD studentship at the University of Cambridge, embedded within Cancer Data Driven Detection (CD3) - a major £10 million national research programme bringing together leading experts in cancer epidemiolog...

Supervisors: Dr Xin Dong and colleagues from the Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology

Overview

Applications are invited for a fully funded PhD studentship at the University of Nottingham in partnership with Rolls-Royce. The successful candidate will join the Rolls-Royce UTC in Manufacturing and On-Wing Technology and contribute to the development of next-generation robotic systems for aero-engine repair and maintenance.

The project addresses a major...

This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. The start can be September 2026, January 2027, April 2027 or July 2027.

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

High-power diode laser stacks are widely used...

About the role:

The role will engage in translational research developing AI tools for rapid assessment of fetal heart anatomy and function from echocardiography images. It utilizes such tools to assess a type of advanced fetal heart intervention, fetal aortic valvuloplasty, where catheters are used to relieve flow obstruction in the fetal heart to avoid a progression to congenital heart malformation at birth. It will further develop a computational model for better patient selection.

What you wou...

Project supervisor – Dr Temitope Alade

Are you ready to redefine the foundations of wireless connectivity? As we approach the sixth generation (6G) mobile communication era, traditional communication systems are hitting the Shannon Limit. Simply increasing bandwidth is no longer sustainable due to increasing energy and complexity constraints. This project offers a bold alternative by bridging the gap between cutting-edge Generative AI and Wireless Communications: Semantic Communication powered by...

**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...

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 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...