Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus.
A track record of publishing papers in decent scientific journals and excellent writing & presentation skills.
Able to collaborate with experimentalist and work with other team members.
Develop and implement machine learning models (regression, classification, clustering) to predict maintenance needs and optimize operations.
Leverage Large Language Models (LLMs) to enhance data products through automated feature extraction, data enrichment, and intelligent information retrieval and decision making.
Create scalable data solutions that can handle real-time aircraft sensor data and maintenance logs.
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