Responsibilities
- Help develop a scalable data-analysis framework that can be applied to new clients and evolving datasets.
- Lead the continued development and management of the central database, ensuring all processed data and insights are structured for long-term accessibility and scalable analysis.
- Analyze large, multi-source greenhouse datasets to uncover thermal, energy, and climate insights.
- Generate comparative insights across multiple client sites, both before and after demo installations.
- Evaluate performance of the Heat Battery across different configurations, compartments, and environmental conditions.
- Investigate vertical and spatial climate patterns that contribute to understanding how climate behaves in real greenhouse environments.
- Validate and correlate sensor systems to ensure data reliability and enable deeper interpretation of greenhouse climate dynamics.
Requirements
- HBO or university student in a technical field (e.g. Physics, Computer Science, Engineering).
- Proficiency in Python for scientific data analysis and working with time-series datasets.
- Willingness and interest to learn how to build dashboards and work with databases to effectively structure and visualize data.
- Strong communicator who can translate complex analyses into clear, understandable insights for the team and clients.
- Works accurately and takes ownership of data quality.
Benefits
- Make an impact: Your analyses directly contribute to our mission of achieving climate-neutral greenhouse horticulture.
- Professional growth: Learn all about data architecture, real-world sensor data, and the practical application of Data Science in a hardware environment.
- Innovative environment: Work in the iconic Van Nelle Factory as part of an ambitious, multidisciplinary team.
- Network: Get the opportunity to exchange ideas with industry partners, from growers to sensor suppliers.
- Flexibility: A part-time job that fits perfectly alongside your studies, with room for initiative and strategic thinking.
Additional Information
- Part-time job designed to fit alongside studies.
- Opportunity to participate in weekly 'Learning Session' every Friday to share knowledge and wrap up the week together.
- The role is open to candidates who may not meet every requirement but are eager to grow with the company.
