Working student (m/w/d) Data Science and Machine Learning for Indoor Farming

at  Harvest AI GmbH

YOUR MISSION

• Assist in collecting and preprocessing environmental data from greenhouse sensors and cameras.
• Conduct exploratory data analysis using Python, R, or Excel to identify trends and create visualization.
• Support the development, testing, and validation of machine learning models for crop growth predictions.
• Process and analyze image data from greenhouse cameras to track plant growth using computer vision techniques.
• Document analysis processes and prepare reports to share insights with the team.
• Continuously learn and apply new data analysis and machine learning techniques.

ABOUT US

HarvestAi is a young and international startup based in Potsdam. We are leveraging our networking with the Massachusetts Institute of Technology (MIT) to develop a greenhouse prediction model that uses machine learning and computer vision to predict harvest dates and yields, significantly improving the procedural processes in indoor farms. In this way, we are making a positive contribution to combating the world hunger crisis in times of climate change. With the support of the European Union and Brandenburg Kapital, we raised almost EUR 3 million euros in our first round of financing. Visit harvest-ai.com.

Please refer the Job description for details