Postdoctoral Fellow

United Arab Emirates University, Department of Family Medicine; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

United Arab Emirates University, Department of Family Medicine, invites applications for a Postdoctoral Fellow to work on a UAEU Strategic Research funded project focused on developing machine learning assisted metamaterials for terahertz photonics. The role emphasizes design, optimization, fabrication, and characterization of THz metamaterials using ML, deep learning, and inverse design approaches.

The ideal candidate will develop ML models, validate through EM simulations, and contribute to

Qualifications

• PhD required in a closely related field (see minimum qualification).
• Strong track record in ML/DL applied to physical systems is preferred.
• Experience with Python ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow) and simulation-driven datasets desired.

Responsibilities

• Develop ML models to predict and optimize metamaterial parameters.
• Validate results with electromagnetic simulations and simulations-driven datasets.
• Support experimental verification and dissemination of findings.

Skills

Machine learning

Deep learning

Metamaterials

Photonic simulations

Python

Scikit-learn

PyTorch

TensorFlow

Inverse design

Generative AI

Multi-output regression

Publications

Interdisciplinary teams

Education

PhD in Computer Science/Information Technology/Artificial Intelligence

Job description

Job Description

The College of Information Technology (CIT), United Arab Emirates University (UAEU), invites applications for a Postdoctoral Fellow to work on a UAEU Strategic Research funded project titled: “Development of Machine Learning Assisted Metamaterials for Terahertz Photonics Applications.” The project focuses on the design, optimization, fabrication, and characterization of terahertz (THz) metamaterials using machine learning, deep learning, generative AI, and inverse design approaches. The postdoctoral fellow will play a key role in developing ML models for predicting and optimizing metamaterial parameters, validating results through electromagnetic simulations, and supporting experimental verification.

Job Description

The College of Information Technology (CIT), United Arab Emirates University (UAEU), invites applications for a Postdoctoral Fellow to work on a UAEU Strategic Research funded project titled: “Development of Machine Learning Assisted Metamaterials for Terahertz Photonics Applications.” The project focuses on the design, optimization, fabrication, and characterization of terahertz (THz) metamaterials using machine learning, deep learning, generative AI, and inverse design approaches. The postdoctoral fellow will play a key role in developing ML models for predicting and optimizing metamaterial parameters, validating results through electromagnetic simulations, and supporting experimental verification.

Minimum Qualification

Ph.D. in Computer Science, Information Technology, Artificial Intelligence, or a closely related field

Preferred Qualification

Expected Skills

• Research experience in machine learning / deep learning applied to physical systems
• Knowledge of metamaterials, photonics, or electromagnetic simulations
• Experience with Python and ML libraries (e.g., Scikit-learn, PyTorch, TensorFlow)
• Familiarity with inverse design, generative AI, or multi-output regression models
• Experience working with simulation-driven datasets
• Strong publication record in peer-reviewed journals or conferences
• Ability to work in interdisciplinary and international research teams

Close Date

31/12/2026