Theoretical study of AI-enhanced electronics in 2D materials

Ph.D position: Theoretical study of AI-enhanced electronics in 2D materials

A fully-funded 4-year theoretical/computational PhD studentship is available to study charge
and valley transport phenomena in 2D systems. The aim of the project is to investigate the
interplay of charge and topological currents using a combination of quantum-transport
methodology and algorithmic approaches to optimize the design of large-scale heterostructures.

The project is supervised by Dr. Stephen Power at the School of Physical Sciences, Dublin City
University, and is suitable for students with an interest in 2D materials, nanoelectronics and
computational physics. This position is funded as part of the project “AI-enhanced architectures
for programmable two-dimensional electronics”, and will focus on the electronic and quantum
transport properties of two-dimensional heterostructures.

The project will involve significant work with computational methods, and familiarity with
scientific simulation using Python, C or similar is essential. Previous experience with electronic
structure theory and/or quantum transport techniques is desirable, but not essential.
Experience with data-driven approaches, e.g. machine learning, is a bonus.

A tax-free stipend of €25,000/year will support the student, and additional funds are available
for conference attendance, research trips and computer equipment. Eligible candidates should
be Irish or EU residents, and hold a 4 year Bachelors or 3 year Bachelors + Masters degree in
physics, nanotechnology or a related field – preferably with a significant theoretical or
computational component.

The selected candidate will be expected to begin in Dublin in September 2025.

Closing date: 30th June 2025

Informal Enquiries in relation to this role should be directed to: 

Asst. Prof. Stephen Power, School of Physical Sciences, Dublin City University. Email: stephen.r.power@dcu.ie
 

Application Procedure:

Please submit your application by email to stephen.r.power@dcu.ie with the subject
“AIPROG2D PhD Position”. In order to be considered for the role, you must attach:
1) Curriculum Vitae
2) Cover / Motivation Letter, outlining your research interests and suitability for the role.
3) Contact details for two references.
Please note, if all items are not included, the application will be deemed incomplete, and will
not be processed.

Dublin City University is an equal opportunities employer. In line with the Employment Equality Acts 1998 – 2015, the University is committed to equality of treatment for all those who engage with its recruitment, selection and appointment processes. The University’s Athena SWAN Silver Award signifies the University’s commitment to promoting gender equality and addressing any gender pay gaps. Information on a range of university policies aimed at creating a supportive and flexible work environment are available in the DCU Policy Starter Packs.