Scientific Assistant in Tree-Ring Ecology; f​/m​/d

Overview

As part of the EU project Opt FORESTS – Harnessing forest genetic resources for increasing options in the face of environmental and societal challenges, you will contribute to advancing research aimed at addressing climate change and natural hazards while maintaining and enhancing forest biodiversity and ecosystem services. Your work will support multiple components of the project, with a particular focus on the analysis of tree-ring width and density data derived from common garden experiments across Europe.

You may also contribute to additional quantitative wood-related analyses depending on project needs. In addition, you will support field campaigns, including sampling activities and the maintenance of common garden trials, and will play an important role in the preparation, quality control, and organization of project-related datasets and related activities. You will also support exploratory data analysis and visualization in close collaboration with other project scientists.

You will join an enthusiastic and collaborative international team working at the interface of dendrochronology, forest genetics, and climate change research. The position is based at WSL within the Dendrosciences group, a globally recognised centre for tree-ring science. Close collaboration with international partners is an integral part of the project.

We are looking for a motivated and reliable person with strong organizational skills and a keen interest in applied forest and climate research. The ideal candidate has recently completed a Bachelor’s or Master’s degree in Environmental Sciences, Forest Ecology, or a related field. Experience or a strong interest in tree-ring analysis, dendrochronology, or wood anatomy is expected, and familiarity with data analysis tools such as R or Python would be an advantage.

Knowledge in forest genetics could be an asset. You should have a careful, structured, and independent working style, combined with strong team spirit and a willingness to engage in both field and laboratory work as well as data processing. Good command of English, both written and spoken, is an advantage.

WSL is committed to diversity and inclusion as core values. We actively promote gender equality and foster an open, inclusive work environment.