Master Thesis »Multi-Sensor Data Integration for Enhanced Indoor Farming Systems«
Oberhausen, DE, 46047
Fraunhofer-Gesellschaft
Die Fraunhofer-Gesellschaft mit Sitz in Deutschland ist eine der führenden Organisationen für anwendungsorientierte Forschung. Im Innovationsprozess spielt sie eine zentrale Rolle – mit Forschungsschwerpunkten in zukunftsrelevanten...As one of 76 institutes of the Fraunhofer-Gesellschaft we show how to not only master crises, but grow from them. Pushing boundaries. Always trying something new. Not just thinking, but thinking ahead. We turn research into the future.
We want an earth that is worth living on. With our research in the divisions of climate-neutral energy systems, resource-efficient processes and circular products, we make concrete contributions to achieving the 17 Sustainable Development Goals (SDGs) of the United Nations. Our employees conduct research in the fields of energy, environment, safety, health, communication and mobility.
Our department focuses on integrating multi-sensor data to enhance indoor farming systems. We collect data from various sensors and aim to develop a unified system that combines and analyzes these diverse data sources. By leveraging optical technologies such as Raman and fluorescence, we assess plant quality in response to cultivation conditions, ultimately improving farming efficiency.
What you will do
- Literature research
- Integrate and analyze data from multiple sensors to build a unified system
- Develop methods to combine and interpret diverse sensor outputs for meaningful insights
- Utilize data tools (R/Python) for data processing, modeling, and visualization
What you bring to the table
- Studies in the field of biology, agriculture, or environmental engineering
- Experience in statistical data analysis (using R or Python)
- Interest in indoor farming and vertical farming
- Basic knowledge of optical data is an advantage
- Very good English skills
What you can expect
- As part of a dynamic team, you actively drive sustainable solutions for a resource-efficient future
- Opportunity to combine your knowledge from your studies with practical experience at the interface between business and science and to integrate your own ideas
- New Work, diversity and cooperative interaction are important components of our strategic orientation
- Flexible working hours - we know that your studies come first
- Flexible work locations that fit your studies - mobile work and on-site work are combined as needed
- Intense support for the preparation of your final thesis
- Health and mindfulness programs for good balance
- You can find even more attractive benefits here: Fraunhofer UMSICHT as employer
The weekly working time is 39 hours. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
We would like to point out that applications are only accepted via our career portal. For data protection reasons, we cannot accept applications by e-mail. Please submit at least the following documents:
- Curriculum vitae
- Current certificate of enrollment
- Current transcript of records
- Bachelor's certificate
Please do not hesitate to contact us if you have any questions regarding this position:
Miri Park
+49 0173 4032681
bewerbung@umsicht.fraunhofer.de
Fraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT
Requisition Number: 78472
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Data analysis Engineering Python R Research Statistics
Perks/benefits: Career development Flex hours Health care
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