Novel Phase Change Materials for integrated photonics

About the Project

The current increase in data generation is expected to reach unsustainable rates by the end of the decade. This has a strong impact on the environment and therefore new solutions are sought after. The project work is to build the most efficient components by developing the next generation of advanced materials to achieve sustainability in AI applications.

We will enable integrated and free space photonics with advanced reprogrammable materials.

In addition, specific applications such as image recognition and lidar are more efficiently processed in the light domain. Integrated photonics have the inherent ability to support a much larger data density than electronic solutions. Advanced reprogrammable photonic materials enable neuromorphic based computation a key component to efficient artificial intelligence.

We work to create a reprogrammable photonic platform for a variety of applications from telecommunications to neuromorphic biosensing.

If you enjoy developing new technologies and applying novel concepts, you will enjoy working with us. Our facilities are unique in the UK and will be available to develop your skills in the design, characterisation, optimization, and experimental application of novel materials and devices.

You will have the opportunity to optimise the processes and materials and thus be the first in the world to use them.

We are looking for a passionate candidate excited about the latest developments in technology.

You will work in a multidisciplinary, motivating, and supportive environment.

The University of Southampton is committed into sustaining an inclusive environment for all students and staff. The University holds an Athena SWAN Silver Award and works continuously to improve equality in the workplace and encourage a work-life balance. Our focus is on the development and progression of our students and researchers, and we achieve this through a friendly supportive environment.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: 31 August 2026. Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified.

Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

How To Apply

Apply online: Search for a Postgraduate Programme of Study (soton.ac.uk)

• choose programme type (Research), 2026/27, Faculty of Engineering and Physical Sciences
• next page choose “PhD Computer Science (Full time)“
• in section 2 of the application form you should insert the name of the supervisor Ioannis Zeimpekis

Applications should include:

• research proposal
• your CV (resumé)
• 2 reference letters
• degree transcripts and certificates to date

For further information please contact: feps-pgr-apply@soton.ac.uk

Computer Science (8)
Engineering (12)