Doctoral Landscape Awards (DLA-EPSRC)

We 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

This call is open to UK Applicants only. 

Applicants should be of outstanding quality and exceptionally motivated.

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.

Please note that there are more projects than funded studentships available and therefore this is a competitive application process which will include an interview.  Shortlisted candidates will be contacted for an interview in person or via Teams. After interview the most outstanding applicants will be offered a studentship.

Application details

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 pgrscholarships@hud.ac.uk 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 pgrscholarships@hud.ac.uk and we will respond as soon as possible. Informal enquiries about individual projects should be directed to the lead supervisor listed for each project.

Summary of award

Type of Award:	Doctor of Philosophy (PhD)
Eligibility:	UK applicants only 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.
Location:	Huddersfield
Funding:	3 years full-time research covering tuition fees and a tax-free bursary (stipend) starting at £21,805 for 2026/27 and increasing in line with the DLA _EPSRC guidelines for the subsequent years. Funded via the Engineering and Physical Sciences Research Council Doctoral Training Programme
Duration:	3 years full-time

DLA_EPSRC Studentships

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