Postdoctoral Fellow – Machine Learning for Metamaterials

About the role

The College of Information Technology at United Arab Emirates University invites applications for a Postdoctoral Fellow to join a strategic research project on machine‑learning‑assisted metamaterials for terahertz photonics. The role combines advanced computational modelling with experimental validation in a multidisciplinary environment.

Key responsibilities

• Develop machine‑learning and deep‑learning models to predict and optimise terahertz metamaterial parameters.
• Validate model outputs through electromagnetic simulations and support experimental verification.
• Apply generative AI and inverse‑design techniques to accelerate metamaterial design cycles.
• Collaborate with fabrication and characterisation teams to integrate computational results.
• Document findings and contribute to peer‑reviewed publications.

Required profile

• Ph.D. in Computer Science, Information Technology, Artificial Intelligence or a closely related field.
• Research experience applying machine learning or deep learning to physical systems.
• Strong publication record in peer‑reviewed journals or conferences.
• Ability to work effectively in interdisciplinary and international research teams.

Required skills

• Proficiency in Python.
• Experience with ML libraries such as Scikit‑learn, PyTorch, TensorFlow.
• Knowledge of metamaterials, photonics, and electromagnetic simulations.
• Familiarity with inverse design, generative AI, and multi‑output regression models.
• Experience handling simulation‑driven datasets.