Software Engineer Machine Learning 60-100% (f/m/d)
WSL Institute for Snow and Avalanche Research SLF
The WSL Institute for Snow and Avalanche Research SLF is part of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL and thus of the ETH Domain. WSL focuses on the sustainable use and protection of the environment and on the handling of natural hazards. WSL employs approximately 600 people, of whom 140 work at SLF in Davos.
The Research Unit Snow Avalanches and Prevention investigates the formation and dynamics of avalanches, develops warning systems for Alpine natural hazards, and issues the Swiss avalanche bulletin. Its research group Avalanche Formation and Dynamics is looking for a
Software Engineer Machine Learning 60-100% (f/m/d)
Are you interested in combining software development and machine learning for real-world applications? Join our team to support us in developing new software to test and enhance avalanche detection systems and to further develop the White Risk platform. Your primary tasks will include establishing a robust data processing workflow on an SLF server to monitor system health and data quality, and implementing existing machine learning models for near real-time avalanche detection. In addition, you will explore how machine learning methods can be used to improve the White Risk platform. Finally, you will plan and implement innovative solutions to streamline workflows and enhance system efficiency.
You have a background in software engineering and machine learning and practical experience. Ideally, you have strong problem-solving skills, can identify issues, develop comprehensive plans, and efficiently implement effective solutions. Proficiency in programming, machine learning, and data processing is essential. Good communication skills are required to collaborate effectively with team members from diverse backgrounds and to tailor information to varying levels of expertise. You are well organized, motivated to work in an interdisciplinary and international team and are keen to find solutions to practical problems.
Please send your complete application to Jasmine Zollinger, Human Resources SLF, by uploading the requested documents through our webpage. Applications via email will not be considered. Alec van Herwijnen, e-mail Write an email, will be happy to answer any questions or offer further information. The WSL strives to increase the proportion of women in its employment, which is why qualified women are particularly called upon to apply for this position.
Lieu de travail
Flüelastrasse 11
7260 Davos Dorf
Site web
À propos de l'entreprise
Birmensdorf ZH / Davos / Birmensdorf / Alptal (Kanton Schwyz) / Cadenazzo
