Research Grant in Applied Artificial Intelligence (ARIES Project)

The University of Madeira is seeking a researcher to join the ARIES project, which focuses on applying artificial intelligence to aeronautical meteorology. The successful candidate will work on developing machine learning and deep learning models to forecast low visibility, fog, and low cloud ceilings in airport environments. The role involves systematic literature reviews, data processing, model development, and the implementation of explainable AI methodologies. This position is designed for a doctoral student or a researcher enrolled in a non-degree course, providing an opportunity to contribute to safety and operational efficiency in aviation. The work will be conducted at the Faculty of Exact Sciences and Engineering under the guidance of a multidisciplinary team.

• Conduct a systematic review of state-of-the-art AI applications in aeronautical meteorology.
• Collect, clean, and organize meteorological and aeronautical datasets for model training.
• Develop and validate machine learning and deep learning models for visibility and cloud ceiling forecasting.
• Implement explainability and interpretability techniques to analyze meteorological factors.
• Create nowcasting prototypes to assist in airport operational decision-making.
• Perform experimental validation and compare model performance against traditional forecasting methods.
• Draft scientific articles and contribute to the development of a doctoral thesis.