Funding
Self-funded
Project code
SEM10390526
Start dates
October, February and April
Application deadline
Applications accepted all year round
Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project.
The PhD will be based in the School of Electrical and Mechanical Engineering and will be supervised by Dr Salem Aljareh.
The work on this project will involve:
- Research and development of cutting-edge 3D mapping technologies, including LiDAR and computer vision, to create detailed and dynamic indoor maps.
- Designing intuitive user interfaces and experiences for indoor navigation, catering to diverse use cases and accessibility needs.
- Implementing robust data privacy and security measures to protect user information while providing personalized navigation experiences.
- Collaborating with smart building technologies and IoT systems to enhance navigation with real-time information.
- Ensuring that the proposed 3D indoor mapping system seamlessly integrates with existing outdoor navigation systems, providing continuity and accuracy in complex environments.
- Emphasise how data collected can contribute to big data analysis exploring ways to optimise energy consumption, safety and mobility efficiency in indoor environments.
Navigating complex indoor environments is becoming increasingly vital, from shopping centres to airports, hospitals to huge museums. Indoor mapping presents unique challenges compared to outdoor mapping due to the complexity of indoor environments. These environments are widely variable in terms of size, structures, materials used, number of floors and layouts. Furthermore, they are often dynamic environments as objects, furniture and even walls can move around. Indoor mapping involves gathering information about interiors of different buildings which can raise security and privacy concerns.
The "3D Indoor Mapping for Navigation in Complex Environments" project at the University of Portsmouth takes on the challenge of creating a universal indoor mapping standards and techniques. We align with the University's commitment to cutting-edge research that solves real-world problems.
This project recognises the limitations of traditional two-dimensional maps when navigating complex indoor spaces. We envision a future where individuals and robots can effortlessly traverse complex environments with the aid of immersive, three-dimensional indoor maps. These maps will provide not only directions but also information about their surroundings, creating a more intuitive and efficient navigation experience.
The work explores state-of-the-art advances in 3D mapping both in academia and the industry and builds upon recent attempts to standardise indoor maps. It involves 3D mapping technologies and user-centric design, privacy considerations, and integration into existing navigation systems. Creating a seamless transition between outdoor and indoor navigation, ensuring that users can rely on accurate and immersive guidance wherever they go, is also vital.
Contributing to the field of indoor mapping not only enhances user experience and efficiency, but can also enable better space utilisation, reduce energy consumption, improve safety, and so much more.
Fees and funding
Visit the research subject area page for fees and funding information for this project.
Funding availability: Self-funded PhD students only.
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only).
Bench fees
Some PhD projects may include additional fees – known as bench fees – for equipment and other consumables, and these will be added to your standard tuition fee. Speak to the supervisory team during your interview about any additional fees you may have to pay. Please note, bench fees are not eligible for discounts and are non-refundable.
Entry requirements
You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in a related area. In exceptional cases, we may consider equivalent professional experience and/or Qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
Candidates should hold a relevant degree such as computer science, electrical engineering, electronic engineering or a related discipline. Knowledge in mapping technology, machine learning, data analytics, radio signals, GIS and software development. The candidate should also demonstrate strong programming in MATLAB/python/java and mathematical analysis skills. Experience in C/C++ programming is desirable. This PhD study is part of a collaboration between the university and an industrial partner (leading company in technology and engineering) and the candidate will benefit from the collaboration during and after the study.
How to apply
We’d encourage you to contact Dr Salem Aljareh (salem.aljareh@port.ac.uk) to discuss your interest before you apply, quoting the project code.
When you are ready to apply, please follow the 'Apply now' link on the Electronic Engineering PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.
If you want to be considered for this self-funded PhD opportunity you must quote project code SEM10390526 when applying.