In this PhD studentship, the candidate will contribute to the development of a facile, low cost system exploiting direct laser printing of 2D semiconductor based nanodevices.

Two-dimensional (2D) materials have attracted global interest for atomically thin next-generation electronic and optoelectronic devices, opening up exciting opportunities for technological applications at the monolayer limit. Their extraordinary properties could revolutionise areas ranging from printed electronics to life sciences, imaging and quantum technologies to name just a few.

However, the synthesis of these materials is often complex and capital intensive, relying mainly on vacuum based processing tools.

In this PhD studentship, the candidate will contribute to the development of a facile, low cost system exploiting direct laser printing of 2D semiconductor based nanodevices. This new technology allows film patterning on various substrates, including flexible and curved, all processed under room temperature ambient conditions with instant spectroscopic feedback, making it highly suitable for neural network driven, scalable rapid prototyping and additive manufacture.

This AI driven project would thus be suitable for a highly motivated candidate with a strong physics (or materials, or engineering) related background and programming abilities to develop highly transferable skills in cleanroom sample fabrication and electronic/photonic device characterisation, laser materials processing, numerical simulations and machine learning with input from industry partners and working with leading academic experts.

If you wish to discuss any details of the project informally, please contact Dr Pier Sazio, S2LF Research Group, Email: [email protected]

Co-supervisor: Dr Ioannis Zeimpekis

Entry requirements

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

• physics
• materials
• engineering

or a related background.

You will have strong programming abilities for this AI driven project.

Potential supervisors Entry requirements Fees and funding How to apply Contact us

How to apply AI directed laser synthesis, patterning and manufacture of 2D materials | University of Southampton

You need to:

• choose programme type (Research), Faculty of Engineering and Physical Sciences
• choose “PhD ORC (Full time)”
• add the name of the supervisor Dr Pier Sazio in section 2 of the application form

Applications should include:

• your CV (resumé)
• 2 reference letters
• degree transcripts or certificates to date