Undergraduate Summer Research Internships 2020
School of Electronics, Electrical Engineering and Computer Science
The School of EEECS will be supporting a number of Undergraduate Summer Research Internships over the Summer 2020 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.
The scheme is open to all EEECS Undergraduates (apart from students on the BIT degree pathway, students who are due to graduate this summer and PGT students).
Each internship will last between 6-8 weeks and will pay a weekly stipend of £300 (for each week worked). Accommodation and travel costs are not provided under this scheme. No payments will be made for university closure days.
Students will be expected to complete this application form and return it to Angela Anderson (email: firstname.lastname@example.org) no later than 13th March 2020.
Further details on projects can be obtained by following the links below.
Please Note: It is preferred that the internship takes place during May-July 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 (the Ashby Building, ECIT and the Computer Science Building).
Proposed Project Titles
- Sampling Graph Analytics Workloads for Computer Architecture Simulation
- Transprecise Computing
- Identifying Human Papillomavirus (HPV) status in cancer patients using deep learning
- Intelligent identification of facial weakness for Stroke prediction
- Applying Deep Learning for Early Childhood Intervention
- Dealing with imbalanced data in AI and Deep Learning: A sampling-based approach
- Machine Learning for Efficient Chemical Reaction Prediction
- Encrypted Computations: deploying and advancing homomorphic encryption
- Fast and Efficient Malware Classification using Random Encoders
- Internet of Things based Calibrated Low Cost Pollution Monitoring Sensor Network
- ViSER – Visualisation of Software Evolution in Repositories
- Further development and application of a Python-based data analysis tool
- Algorithms, data structures and human values
- Software innovation: software requirements and design thinking
- Security in/for Approximate Computing
- OpenPMU – Open Source Phasor Measurement Unit
- Vision-Based Model Predictive Control for Autonomous Mobile Robot (I)
- Vision-Based Model Predictive Control for Autonomous Mobile Robot (II)
- Running HPC applications using machine learning on Edge Devices
- Rapid safety analysis and control of cyber-physical systems
- Efficient DC Combiner circuits for Microwave Wireless Power Transfer
- Fast embedded predictive control for proactive robots
- Collaborative Food Recommendation via Multimedia Analytics
- Mm-wave radar for vision impaired people
- Developing a rich mobile interface to academic research literature
- Ultrathin absorbing metasurfaces for electromagnetic interference suppression in mobile base stations
- Virtual Reality and Perspective Taking
- Evaluating interaction modalities for Virtual and Augmented Reality gaming applications
- Developing an Intelligent Agent to aid in the control of military assets in a computer game
- Investigating the use of Augmented Reality as an alternative to traditional physical touchscreen displays
- Robotic vision for wire-terminal insertion tasks