Summary
United Arab Emirates University is seeking a Postdoctoral Fellow for an interdisciplinary project on improving the thermal stability and performance of perovskite solar cells. The fellow will fabricate and test solar cells, synthesize and characterize phase change materials, and develop machine-learning models to predict performance and optimize designs. The role also includes analyzing experimental data, preparing publications and project reports, collaborating with the research team, and assisting with student mentoring. Applicants need a PhD in a relevant field, experience in thermal systems, solar energy or phase change materials, and proficiency with AI tools such as Python, MATLAB or TensorFlow.
The posting
As published on uaeu.ac.ae. Pulled from the employer's site and shown as they wrote it.
Job description
The Postdoctoral Research Fellow will contribute to an interdisciplinary research project focused on enhancing the thermal stability and performance of perovskite solar cells (PSCs) using nano-enhanced phase change materials (Ne-PCMs) and AI-driven predictive modeling. The role involves designing and fabricating PSC devices, synthesizing and characterizing advanced PCM/Ne-PCM materials, and integrating these systems for thermal management under harsh environmental conditions. The fellow will conduct experimental testing (thermal, electrical, and durability), analyze thermophysical properties, and generate high-quality datasets. In parallel, they will develop and apply machine learning models (e.g., neural networks, random forest, optimization algorithms) to predict system performance and optimize material and design parameters. The position also includes preparing publications, supporting project reporting, collaborating with the research team, and assisting in mentoring students, thereby contributing to the successful execution and dissemination of the project outcomes
Minimum qualification
- PhD in Mechanical Engineering, Materials Science, Energy Engineering, Nanotechnology, or related fields.
- Strong background in thermal systems, solar energy, or phase change materials.
- Experience with nanomaterials synthesis and characterization techniques.
- Knowledge of perovskite solar cells or photovoltaic systems is highly desirable.
- Proficiency in machine learning / AI tools (Python, MATLAB, TensorFlow, etc.).
- Demonstrated record of peer-reviewed publications.
Preferred qualification
- Experience in integrating experimental and computational research.
- Familiarity with thermal modeling, heat transfer, and energy systems.
- Ability to work in multidisciplinary teams (materials + AI + energy).
- Strong scientific writing and communication skills.
Special instructions to applicants
Submit a detailed CV, a statement of research experience, and a list of publications.
Department
Mechanical & Aerospace Eng.-(COE)
College or division
College of Engineering - (COE)