Research Engineer Position at the Division of Forest Remote Sensing
Research Engineer Position at the Division of Forest Remote Sensing
SLU - Swedish University of Agricultural Sciences
Umeå, Sweden
About the position
The tasks will be to develop and maintain a system to store and process georeferenced data (vector data, raster, point clouds). The system will have defined APIs and handle user interactivity on the data. We will set up the infrastructure and develop an operational prototype of The ForestWard Observatory of Climate Change Impacts on Forests in Europe, under the Horizon Europe project FORWARDS, for the collection and delivery of data and information from different networks of long-term monitoring and management. The system is to become a knowledge platform where datasets, resources, tools and other knowledge developed in FORWARDS will be integrated and made publicly available. The position will also involve participation in other projects, assisting researchers in tasks related to research, with very direct involvement in research and participation in research publications.
Your profile
We are looking for a Research Engineer or similar to develop the infrastructures sustaining The ForestWard Observatory. To be qualified for this position you have a BSc/MSc/PhD degree (or equivalent professional experience) in Computer Science, Data Science, Geography, or a related subject relevant for the position (or have documented experience that can be considered equivalent). The applicant must be fluent in English. While not essential, the following qualifications/experience will be advantageous:
- Additional academic degree(s) or documented experience in any discipline in computational science;
- Technical skills in setting up and maintaining SQL databases and Geographical Information Systems (GIS);
- Documented experience in virtualisation and container environments in Linux, especially with experience in using computer clusters, cloud computing, or HPC systems, such as Google Earth Engine;
- Documented experience in system and/or user administration of software systems and/or computational and storage resources, metadata management, computational science, or visualisation;
- Experience in modelling or applying machine learning or artificial intelligence, especially involving the remote sensing data, whether imagery or point cloud data;
- Documented proficiency in scripting and data analysis, with an interest to aid researchers. At the Division of Forest Remote Sensing we employ several programming languages such as R, Python, Julia, and C++. For that reason a command of either of those languages, or willingness to learn them, can be an advantage.
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