Kai Yun Li

尊敬的人力資源經理，

I am writing to express my keen interest in exploring opportunities related to natural sciences, leveraging my extensive background in environmental science, research, and academia. I hold a doctorate in environmental science, specializing in sustainable agriculture design and ecosystem services, which has provided me with a solid foundation in the field.

Throughout my career, I have developed expertise in various areas, including machine learning, environmental telemetry, digital image analysis, program management, research, and product development. My diverse skill set has allowed me to contribute significantly to numerous projects, demonstrating my adaptability and commitment to excellence.

In addition to my technical competencies, I possess strong administrative and management skills, with over 5 years of experience in various leadership roles. This experience has honed my ability to effectively manage teams, coordinate cross-functional projects, and drive successful outcomes.

Furthermore, I have spent 6 years working in research and product development, collaborating with interdisciplinary teams to develop innovative solutions for pressing environmental challenges. My experience in these roles has strengthened my problem-solving, analytical, and critical-thinking skills.

As a university lecturer for 2 years, I have gained invaluable experience in teaching and mentoring students, fostering their growth and understanding in the field of environmental science. My passion for education and sharing knowledge has been a key driver of my success in this role.

Given my background and experience, I am confident in my ability to excel in any position related to the natural sciences. I am eager to contribute my skills, knowledge, and passion for the field to a forward-thinking organization like yours.

Thank you for considering my application. I look forward to the opportunity to discuss my suitability for any relevant positions within your organization.

Sincerely,

Kai-Yun
 

Focusing on UAV sensing platforms with imagery technology combined with machine learning algorithms for environmental, field-based and high-throughput crop phenotyping.

 The Estonian University of Life Sciences 02/2021 - Present, Estonia 

Current Project: Innovative Drone-Based Remote Sensing Tools for Agricultural Management and Nature Conservation. (EAG204) Crop phenotyping, Crop disease detection, UAVs, Auto-learning, Spatial analysis