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Doctoral Landscape Awards (DLA-EPSRC) at University of Huddersfield 2026

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University of Huddersfield offer fully funded Doctoral Landscape Awards (studentships) from the Engineering and Physical Sciences Research Council (EPSRC) in the following areas:

  • Digital Economy
  • Information and communication technologies (ICT)
  • Physical Sciences
  • Energy
  • Engineering
  • Mathematical Sciences

Table of Content

Summary

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Benefits

The studentships are funded for 3 years, subject to satisfactory annual performance and progression review and will provide for tuition fees and a tax-free stipend paid monthly.

Requirements

  • The scholarship is open to UK applicants only
  • Applicants should be of outstanding quality and exceptionally motivated.

  • Degree requirements includes
    • First Class or Upper Second-Class Honours degree or equivalent in a relevant subject area, please refer to the entry requirements on the specific projects being advertised below.

Ref ID

PI

Project Title

DLA_DTP_2026_01

Simon Allison

Bioengineered tumours and targeted nanoparticles for toxic payload delivery selectively to cancers

DLA_DTP_2026_02 Grant Campbell Salt Pinch Analysis – a new process integration technique for biorefineries
DLA_DTP_2026_03 Chenyu Du The synthesis of novel Deep Eutectic Solvent (DES) and its application in plastic recycling
DLA_DTP_2026_04 Michael Ginger From ‘Waste-to-Remediation-and-Biofertilization’ via Euglenids
DLA_DTP_2026_05 Marco Molinari Predicting Nanozyme Activity: How Protein Coronas Reshape Catalysis
DLA_DTP_2026_06 Craig Rice Self-assembled Metal Complexes as Antimicrobial Agents
DLA_DTP_2026_07 Ahmed Hamood Development of Next-Generation Heat Exchangers for Oscillatory Flow Systems
DLA_DTP_2026_08 Khoa Dang Hoang Physics-Informed Digital Twin for Degradation-Aware Control of Hybrid Electric Powertrains
DLA_DTP_2026_09 George Bargiannis Explainable Hybrid AI and Multi-Criteria Decision Support for Complex Decision-Making
DLA_DTP_2026_10 Mohamed Kentour Redefining Deep Neural Networks (DNNs) through Controlled Approximations
DLA_DTP_2026_11 Nicola Chieffo CATA-TWIN - Catastrophe Risk and Emergency Response with Digital Twin Technologies
DLA_DTP_2026_12 Paul Bills Investigating the effects of anodic oxidation on strut topography and feature morphologies on additive manufactured Titanium lattice structures
DLA_DTP_2026_13 Paul Scott (Shan Lou submitted Proposal) Development of Multiscale Reference Artefacts for Traceable X-ray Computed Tomography Metrology of Lithium-Ion Battery
DLA_DTP_2026_14 Qiang Hua AI-empowered Antenna Design and Optimisation for Future Wireless Communication
DLA_DTP_2026_15 Shan Lou Hybrid Metrology for Automated Inspection of Large-scale Workpiece Surfaces
DLA_DTP_2026_16 Tianhua Chen Predicting Near-Future Student Mental Wellbeing from Wearable Sensor Data
DLA_DTP_2026_17 Wenxian Yang Knowledge-Enhanced Interpretable Condition Monitoring and Prognostics for Wind Turbines Using Deep Learning and Large Language Models
DLA_DTP_2026_18 Haiyan (Helen) Miao Physics-Informed Multimodal AI Diagnostics for Reliable Electric Motor Systems
DLA_DTP_2026_19 Haiyan (Helen) Miao Adaptive Ammonia–Biodiesel Dual-Fuel Compression-Ignition Engines for Net-Zero Heavy-Duty Transport
DLA_DTP_2026_20 Quratul-ain Mahesar Argument-Aware Fact Checking for Explainable Medical Decision Support
DLA_DTP_2026_21 Quratul-ain Mahesar Argument Mining in Phishing and Social Engineering
DLA_DTP_2026_22 Shamaila Iram Constraint-Aware Vision–Language–Action Architectures for Structured Built-Environment Reasoning
DLA_DTP_2026_23 Yiheng Hu AI-driven power train and prediction-assisted control for TALOS wave energy grid integration
DLA_DTP_2026_24 Yongjia Xu Intelligent cognition technology for adaptive structure-light metrology
DLA_DTP_2026_25 Yongjia Xu Digital interactive robotic structure-light metrology system

Application Deadline

April 28, 2026

How To Apply

You must submit your application in full by Tuesday 28th April 2026, including the following documents;

  • Complete the EPSRC expression of interest form 2026
  • Provide copies of transcripts and certificates of all relevant academic and/or any professional qualifications.
  • Provide references from two individuals – please contact your referees and ask them to send your reference directly to [email protected] from their email address. (references can be submitted late but must be submitted by 28th April 2026) 
  • Proof of eligibility – e.g. scan of passport photo page

Application enquiries are welcome. Please email your enquiry/ or request an application support meeting to [email protected] and a representative will respond as soon as possible. Informal enquiries about individual projects should be directed to the lead supervisor listed for each project.

For more details, visit University of Huddersfield Scholarship webpage

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