_{Updated 2026-03-10}

The School of EEECS will be supporting several Summer Research Internships over the Summer 2026 holiday period.  The aim of the Scheme is to identify and develop researchers of the future.  It is hoped that the internship will improve employability by developing experience and key skills such as problem solving, team working and self-discipline

Each internship will last between 6-8 weeks (Monday-Friday 7.5 hours per day) and will pay weekly stipend of £504.37

Accommodation and travel costs are not provided under this scheme.

Duration (maximum 8 weeks – between June and July/early August): 

Please note: It is preferred that the internship takes place during June – July/ early August and successful applicants will be encouraged to negotiate start and finish dates with their supervisor. It is possible to split the internship to allow for summer holidays. Please note that the internships will be offered across three sites (location may be the Ashby Building, Queen’s Titanic Quarter or the Computer Science Building).

We are only able to accept one application per applicant.

Deadline to apply Friday 27th March.

Potential projects are listed below:

1. Mastering Network Security: Hands-On Lab Experience – Dr Arnab Kumar Biswas
2. SideChannelSleuth: Breaking the ASCON with the Rainbow simulation tool – Dr Ayesha Khalid
3. A Unified Data Model for Adaptive Query Optimization Across Heterogeneous Access Primitives - Chao Tian
4. Agentic Software Development with Remote Local Models – Dr David Cutting
5. Security Evaluation of In-Memory Computing Chips - Dr Chongyan Gu & Mr Yikang Shen
6. The LLM-Enabled Malware Blueprint: Adversarial Behavioral Dynamics and Attack Patterns - Dr Oluwafemi Olukoya
7. Machine Learning for Integrated Sensing and Communications - Hien Quoc Ngo
8. Agentic Red-teaming: A Framework for Testing the Security of AI Agents - Ihsen Alouani
9. High-Fidelity Emulation Framework for Cloud-Native Applications Across the Compute Continuum - Prof. Javid Taheri
10. Multimodal Gesture Recognition via Wi-Fi and Vision Fusion - Jie Zhang
11. Performance Evaluation of Deep Learning Methods for LiDAR-Based 3D Object Detection in Motorway Merging Scenarios - Konstantinos Koufos
12. Mapping Harmful Algal Blooms in Lough Neagh Using Satellite Image Segmentation - Dr Lu Bai
13. Accessibility Simulation in Augmented/Virtual Reality - Dr Matthew Collins
14. Efficient DC power combining circuit for wireless power transfer - Dr Neil Buchanan
15. Tactile Intelligence for Robotics: Metamaterial Sensing Interfaces for Robotic Grippers and Arms - Dr Oleksandr Malyuskin
16. Ludicrously fast language identification of web content - Pinzhen Chen
17. Deep Learning on Imbalanced Data - Mai Thai Son
18. Asset traceability using agentic AI and smart contracts - Dr Vishal Sharma
19. Defensive Approximate Federated Learning in Edge AI - Dr. Yun Wu
20. All-in-one Box: Managing and integrating multiple (free-of-charge) cloud storage services - Dr Zheng Li
21. Real-Time Broadcast Subtitle Capture and AI-Driven Analysis System - Dr David Laverty
22. Exploring Topology Inference Attacks in Federated Learning - Jesus Martinez del Rincon