The Swiss Ornithological Institute in Sempach is a private foundation for the study and conservation of birds. Renowned in Switzerland and internationally, the institute unites basic research, applied research, and implementation of conservation measures under the same roof.
To strengthen our team, we are looking for a
Remote sensing specialist (80-100 %)
starting on 1 April 2022 or by arrangement.
You are passionate about remote sensing and its applications in ecology and conservation biology. You are an innovative and creative person interested in new ideas and methods in your field. You enjoy supporting and helping other researchers with remote sensing applications. Constructive and open communication is important for you.
You have a master or higher degree in biology or geography (or similar), as well as extensive experience in carrying out your own analyses using satellite and LiDAR data. For example, you know how to compute derived products such as NDVI or landcover maps based on satellite imagery, and how to obtain and interpret information about forest structure using LiDAR data. You have extensive experience in the use of Google Earth Engine and QGIS. You're familiar with the interpretation of imagery to study the dynamics of vegetation and landcover. Knowledge of Python and machine learning are an advantage. You have knowledge of one of Switzerland’s national languages and have an excellent oral and written command of English. Other requirements include team skills and a detail-oriented and independent working style.
We offer a varied position in an inspiring work environment, flexible working hours to facilitate the balance between family and work, and excellent social security benefits. The place of work is Sempach.
The Swiss Ornithological Institute is committed to increasing the representation of women in leadership roles and research and specifically encourages applications from qualified women.
For more details on the position, please contact Jérôme Guélat (firstname.lastname@example.org), head of the GIS team. We look forward to receiving your online application by 24 October 2021. Please send your application documents (cover letter with statement of motivation, CV, list of publications, copies of diplomas, contact details of three references) in a single PDF file using the following link (other forms of application will not be considered).