PhD and postdoctoral positions will be announced here, so stay tuned for upcoming opportunities!
We also welcome inquiries from prospective postgraduate and postdoctoral researchers interested in applying for fellowships to join our group. We have a very successful record of supporting researchers by helping develop research ideas in the field of 2D materials and assisting them in their applications for PhD and postdoctoral fellowships. If you are considering applying, please feel free to contact Dr Farzan Gity directly and include a copy of your CV.Β
The 2D-MADE group at Tyndall National Institute / University College Cork (UCC) is recruiting a Postdoctoral Researcher to develop an experimentally validated, physics-based, multi-scale modelling framework for large-area transition metal dichalcogenides (TMDs).
The role focuses on:
Density Functional Theory (DFT) simulations of pristine and defective TMDs
Modelling grain boundaries, point defects, and metal/dielectric interfaces
Development and validation of machine-learned (ML) interatomic potentials
Integration of atomistic simulations into higher-level device models and digital twin concepts
A defining feature of this project is the strong coupling between theory and experiment. The successful candidate will work closely with experimental researchers in the group and industry partners to incorporate realistic material parameters into simulations.
This work builds on our recent research on 2D materials:
https://ieeexplore.ieee.org/abstract/document/10873322
Funded by Research Ireland in collaboration with Synopsys and Intel.Β
Contract: 12 months (possible extension)Β
Application deadline: 27 February 2026
Full details and application:
https://www.tyndall.ie/job/postdoctoral-researcher-in-2d-materials-dft-and-machine-learning-driven-atomistic-modelling/
The 2D-MADE research group at the Tyndall National Institute, hosted at University College Cork (UCC), is seeking to recruit a highly motivated Postdoctoral Researcher to work on two-dimensional (2D) transition metal dichalcogenide (TMD) materials, with a strong focus on materials characterisation and device fabrication.
This position is part of the CALIBRATE-TMD project, funded by Research Ireland, and carried out in close collaboration with Intel and Synopsys. The project aims to establish an experimentally calibrated modelling framework for TMD-based nanoelectronic devices, enabling predictive and industry-relevant device simulation.
The successful candidate will be responsible for:
Experimental characterisation of 2D TMD materials, including defects, interfaces, and variability
Fabrication and electrical characterisation of TMD-based devices
Generating high-quality experimental data to calibrate and validate compact and physics-based models
Working closely with modelling and simulation researchers to ensure realistic experimental inputs are captured in device models
A defining feature of this project is the tight and continuous coupling between experiment and modelling, enabling direct feedback between measured data and simulation frameworks.
The researcher will work within a highly interdisciplinary environment involving:
The 2D-MADE group at Tyndall National Institute
Academic collaborators at University College Cork
Industry partners Intel and Synopsys, ensuring strong industrial relevance and impact
Contract duration: 12 months, with the possibility of extension for a further 12 months
Start date: As soon as possible
Location: Tyndall National Institute, Cork, Ireland
18 February
Full job description & application details:
https://www.tyndall.ie/job/postdoctoral-researcher-in-2d-materials-tmd-materials-characterisation-and-device-fabrication/
Informal enquiries are welcome. Prospective candidates with a strong background in 2D materials, device physics, nanofabrication, or materials characterisation are encouraged to apply.
Fully Funded PhD Opportunities in 2D Materials (4 Years)
We are offering two fully funded PhD positions (4-year duration). These PhD projects are funded by Research Ireland and carried out in close collaboration with industry partners Intel and Synopsys.
A defining feature of both projects is the strong, continuous coupling between modelling and experimental characterisation. The PhD researchers will work closely with experimental team members, using experimentally measured material, interface, and device data to calibrate, validate, and refine models, ensuring realistic treatment of defects, interfaces, and variability.
PhD 1. DFT & machine-learning-driven atomistic modelling of 2D materials
This project focuses on atomistic simulations of pristine and defective 2D materials, including grain boundaries, point defects, and interfaces. Machine-learning-based interatomic potentials will be developed and calibrated using both DFT calculations and experimentally measured data.
PhD 2. Physics-based, multi-scale device modelling for 2D-material-based devices
This project focuses on developing and validating physics-based device and compact models, linking atomistic-scale material descriptions with device- and circuit-level simulations, and calibrating models against experimental device measurements.
Key features
Fully funded 4-year PhD (stipend + tuition fees covered)
Strong integration of modelling and experiments
Direct engagement with industrial partners
Access to state-of-the-art experimental and computational facilities
Training, conference travel, and professional development support
π Application links:
PhD 1: Atomistic / DFT / ML position:
https://www.tyndall.ie/job/phd-position-in-the-field-of-2d-materials-dft-machine-learning-driven-atomistic-modelling-of-2d-materials/
PhD 2: Multi-scale device modelling position:
https://www.tyndall.ie/job/phd-position-in-the-field-of-2d-materials-physics-based-multi-scale-device-modelling-for-2d-material-based-devices/