Are you holding Master’s degree and looking for fully funded PhD positions? Cranfield University, Wharley End, England invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Ubiquitous Cognitive Navigation with AI Based Systems
Summary of PhD Program:
The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent system will manage and adjust the way information is used in real time.
Application Deadline: 01 Oct 2025
2. Fully Funded PhD Position in Defence and Security: Leadership, Management and Governance
Summary of PhD Program:
The Centre has delivered short training and long degree-bearing courses in over 100 countries. Students are typically employed in central government, defence industry and the Armed Forces, and their doctoral studies resonate with their professional activities, including, for example, defence engagement, conflict resolution, gender studies, humanitarian and relief operations, international conflict and security law, defence budgeting and public finance.
Application Deadline: Open until filled
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3. Fully Funded PhD Position in Performance of supercritical CO2 power generation systems
Summary of PhD Program:
The student will be based within the Centre of Propulsion and Thermal Power Engineering, Faculty of Engineering and Applied Sciences at Cranfield University. Cranfield is a wholly postgraduate university and there are a wide range of MSc and Professional Development Short Courses throughout the year. The student may have opportunities to access some of the MSc courses and CPD short courses relevant to the research and attend and publish papers in international conferences.
Application Deadline: 26 Nov 2025
4. Fully Funded PhD Position in Extreme learning to handle ‘Big Data’
Summary of PhD Program:
As aerospace platforms go through their service life, gradual performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning mechanism.
Application Deadline: Open until filled
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5. Fully Funded PhD Position in Experimental and Numerical Study of Parameters Affecting the Wake Dynamics of a Simplified Car: Effects of Roughness – Turbulence – Yaw Angle
Summary of PhD Program:
Air quality has become a major concern for public health as it causes respiratory and cardiovascular diseases, cancer, diabetes, and premature deaths. Air pollutants can be gaseous or solid particles (also referred as particulate matter). The impact of pollutants not only depend on the emitted quantity but also on other factors such as the proximity to sources and the dispersion conditions. The automotive sector makes a significant contribution to local air pollution and exposes the population to dangerous levels of pollutants.
Application Deadline: 03 Sep 2025
6. Fully Funded PhD Position in Enhancing Water Treatment using Robotic Tools for Filter Maintenance
Summary of PhD Program:
Drinking water production is under mounting pressure to reduce both energy demand and chemical consumption. Project SandSCAPE, an Ofwat-funded programme, tackles this challenge by integrating purpose-built robots that skim slow sand filter beds while they remain flooded. Because slow sand filtration already supplies most of London’s tap water with minimal chemical input, refining it through robotics offers a practical route to low-carbon, nature-based treatment that safeguards microbiological quality and boosts resilience to climate uncertainty.
Application Deadline: 03 Sep 2025
7. Fully Funded PhD Position in Chemical recycling of plastics: digital testing for product optimisation
Summary of PhD Program:
This project seeks to develop an in-depth understanding of the pathways of each individual polymer and polymer mixtures through a pilot-scale facility, with a specific focus on hydrogen production and utilization. Through developing an in-depth understanding of the chemical pathways, the PhD researcher will make a significant contribution to knowledge to the mechanistic understanding of thermal decomposition of polymers under varying process conditions. Furthermore, this research will focus on the development of a model, allowing for virtual testing and optimisation of the chemical recycling process.
Application Deadline: 20 Aug 2025
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8. Fully Funded PhD Position in Adaptive AI for Wind Control and Predictive Maintenance
Summary of PhD Program:
This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model integrating Machine Learning (ML) with physics-based degradation modelling will enhance early fault detection, reducing unplanned downtime.
Application Deadline: 01 Oct 2025
9. Fully Funded PhD Position in Acoustic velocimetry in gas turbine inlets with a view to non-intrusive mass-flow
Summary of PhD Program:
The overall aim of this PhD is to explore novel measurement methods that can improve the assessment of aero-engine performance. The research will focus on the measurement of massflow and velocity profiles using non-intrusive acoustic velocimetry. The project will include the development of a test rig and instrumentation for acoustic flow measurements, sensitivity to intake operating conditions and the exploration of data analysis methods to improve the overall measurement system accuracy.