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AI directed materials discovery and atomistic modelling

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Southampton, United Kingdom

Academic Connect
5 Star Employer Ranking

AI directed materials discovery and atomistic modelling

About the Project

Supervisory Team: Dr Pier Sazio and Dr Ioannis Zeimpekis

This project develops chalcogenide glass materials for optical and electronic applications using cleanroom fabrication and AI-driven simulations. It aims to replace rare elements with earth-abundant alternatives, combining experimental and computational methods to create advanced materials with broad industrial potential and train researchers in cutting-edge, transferable skills.

This project focuses on developing chalcogenide glass materials using group VI elements such as sulfur (S), selenium (Se) and tellurium (Te), for advanced optical, photonic, and electronic applications. We create these using the unique processes developed at the Novel and compound glass facilities within the Zepler cleanrooms.

The properties of these amorphous semiconductor materials ensure a very wide transparency range, spanning from the visible to the far infrared, thus giving rise to numerous potential industrial applications. However, the synthesis of these materials is often complex and capital intensive, as they are typically combined with rare and expensive elements including Germanium (Ge) , Antimony (Sb) or Gallium (Ga).

Therefore, in parallel with experimental activities, modelling and simulations will form a significant aspect of your research by developing cutting edge knowledge and expertise with the burgeoning range of AI tools available for materials discovery at the atomistic level to use earth abundant elements and thus develop the next generation of advanced materials with extraordinary properties.

Research involves both experimental fabrication in Zepler cleanrooms and artificial intelligence (AI) and machine learning (ML) driven simulations to design materials using earth-abundant elements.

You will develop highly transferable skills in cleanroom sample fabrication and electronic and photonic device characterisation, materials processing, numerical simulations and machine learning with input from industry partners and working with leading academic experts.

The School of Optoelectronics (ORC) is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.

Entry Requirements:

You must have a UK 2:1 honours degree or its international equivalent, in one of the following:

  • physics
  • materials science
  • engineering

Fees and Funding:

We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.

Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.

Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

How to Apply:

You need to:

  • choose programme type (Research), 2026/27, Faculty of Engineering and Physical Sciences
  • select Full time or Part time
  • choose the relevant PhD ORC (7097)
  • add name of the supervisor in section 2

Applications should include:

  • your CV (resumé)
  • 2 academic references
  • degree transcripts to date
  • English language qualification (if applicable)

Programming is an essential skill.

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