PhD position in Radar Remote Sensing of Forest
2 weeks ago
Reference number
Department of Forest Resource ManagementThe 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 implementation of the ongoing environmental analysis programs National forest assessment, National targeted forest damage inventory, National inventories of the landscape in Sweden, terrestrial habitat follow-up and the butterfly and bumble bee inventory. In the business, research and environmental analysis are combined in interdisciplinary projects, which provides unique opportunities to develop overall concepts for sustainable use of the natural resources. In total, we have approx. 100 employees and during the summer half an additional approx. 80 seasonal employees in our field inventories. More information can be found at
Researching water exchange in forest using drone based radarDescription:The work will focus on developing methods for using radar sensors to measure and monitor forest. The methods will be assessed with reference data from laser scanners and field inventories. The radar measurements will be acquired with a drone, but also from the ground, a tower, aircrafts and satellites. The project is co-funded by several projects and is carried out in collaboration with different departments in SLU and other universities in Sweden. The doctoral student will work in the Division of Forest Remote Sensing at SLU in Umeå. The work will contribute to the large European project FORWARDS and therefore travels within Europe should be expected.
Qualifications:Required:
- Master degree or similar in a technical field, e.g., Engineering Physics, Electrical Engineering, Computer science.
Meriting:
- Experience in remote sensing data processing and analysis
- Knowledge of image analysis, signal processing etc.
- Knowledge of machine learning methods
- Knowledge in statistics
- Proficiency in scientific programming (Python, R, C, Matlab etc.)
- Experience of forests
We put a large importance to personal qualities, such as team work, problem-solving and the ability to work independently.
Place of work:Forms for funding or employment:Fixed term employment of 4 years.
According to agreement.
Application:Click the "Apply" button to submit your application. The deadline is
To qualify for third-cycle (Doctoral) courses and study programmes, you must have a second-cycle (Master's) qualification. Alternatively, you must have conducted a minimum of four years of full-time study, of which a minimum of one year at second-cycle level.
Please note that applicants invited to interview must submit attested copies of their degree certificate, or equivalent, a transcript of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport's information page containing their photograph and personal details.
The Swedish University of Agricultural Sciences (SLU) has a key role in the development for 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. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden.
SLU has around 3,000 employees, 5,000 students and doctoral students and a turnover of over SEK 3 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.
Contact person
Henrik Persson
Researcher in Forest Remote Sensing
Head of Forest Remote Sensing Division
Ritwika Mukhopadhyay
Phd student
URL to this page
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