Department of Forest Resource Management
Do You Want to Help Translate Research into Practical Solutions that Contribute to a Sustainable Future? Join Us as a System Developer. You Will Become a Key Person in Developing AI that Strengthens Environmental Monitoring of the Future.
About the Position
You will contribute to the development and implementation of AI methods for analyzing remote sensing data. The goal is to transform small-scale experimental models into robust, real-world applications that provide concrete value in environmental monitoring. This is a focused position for someone who enjoys working close to the research front line while keeping one foot firmly in the real world. You will be a key node in various project contexts, interacting with researchers, technical staff, and students.
Your Profile
PhD in computer science or a related field, with at least 5 years of professional experience as a systems developer. The applicant should have solid experience working in Python, geospatial data and databases, and have experience in putting AI products into real-world use. As we are an international research environment with a local focus, the applicant should have good communication skills in English.
Meritorious Candidates Will Have:
• Knowledge in remote sensing
• Practical experience working with neural networks and federated learning
• Experience in HPC environments
• Working with large data sets and time series
• Experience working with Django
About Us
The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics, and landscape studies. The department is also responsible for the implementation of ongoing environmental monitoring programs including the National Forest Inventory, The National Inventories of the Landscapes in Sweden, Terrestrial Habitat Monitoring, and the Butterfly and Bumblebee Inventory. In total, we are about 110 employees.
Location:
Umeå
Form of Employment:
Indefinite-term employment. SLU may use probationary employment.
Scope:
100%
Start Date:
As agreed.
Application Deadline:
04 December 2025
The Swedish University of Agricultural Sciences (SLU) is committed to sustainable life, based on science and education. Through our focus on the interaction between humans, animals, and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet.
SLU welcomes applications from people with diverse backgrounds and perspectives, striving to provide an inclusive and gender-equal work environment.