Whenever there are any new positions available at the ICOS or related communities we will announce it on this page.
If you have information about related open vacancies, please send an email to ICOS Communications at icos-comms (at) icos-ri.eu
Open positions in the ICOS field
PhD Opportunity: Developing Self-Supervised Models for High-Resolution Reconstruction of Biomass Carbon Storage Change in Equatorial African Forests, LSCE & INRAE
Tropical forests play a vital role in climate mitigation and biodiversity preservation. However, they are increasingly threatened by human activities and climate-related disturbances. Accurately quantifying the impact of these disturbances on the carbon dynamics and demography of tropical forests is crucial for understanding their future response to global change.
This PhD project will leverage recent advancements in remote sensing and artificial intelligence to generate 30 m resolution estimates of above-ground biomass dynamics in tropical moist and dry forests from 1990 to 2025. The project will integrate high-resolution biomass maps from the One Forest Vision Initiative (OFVI) with long-term forest disturbance records from Landsat satellites to construct spatially explicit biomass recovery curves. These curves will track biomass changes at different forest ages following disturbances such as fire, degradation, deforestation, and regrowth.
A data-driven carbon accounting model will be developed to estimate dynamic annual carbon losses and gains, providing new insights into regional and national carbon budgets of forest ecosystems. Additionally, forward-looking scenarios will be developed to assess how reductions in human-induced disturbances could enhance carbon storage.
The study will focus on humid forests in Central Africa, particularly in Gabon (in collaboration with AGEOS, the Gabonese Space Agency), the Republic of Congo, and the Democratic Republic of Congo. If successful, the approach will be extended to other regions.
Additionally, this research could be linked to an AMAP Masters project on habitat and biodiversity mapping using foundation models.
Please apply as soon as possible. Read more and apply here: https://drive.google.com/file/d/1hQ_XzjfQ8L2ZOv8EfpuZ_Ok8bvJ7gkmN/view
Research Engineer position. Laboratoire de l’Atmosphère et des Cyclones (LACy), University of La Reunion, Saint-Denis, France
We invite you to apply for a 2-year Research Engineer position on developing visualization tools for the various and numerous datasets generated by the Observatory of Atmospheric Physics of La Réunion (OPAR) and satellite data.
The Observatory of Atmospheric Physics of La Réunion (OPAR) is a unique observation site through the quality of its infrastructure and instruments, and through its location in an area sparsely documented where physico-chemical processes take place that are essential for the understanding of the climate and improvement in its modelling. OPAR hosts 51 instruments (in situ, passive and active remote sensing) operated routinely and feeding national and international databases linked to national and international networks (WMO/GAW, AERONET, TCCON, WWLLN) and European Research Infrastructures (ACTRIS and ICOS). OPAR is operated by the Observatoire des Sciences de l’Univers de la Réunion (OSU-R).
The objective of this Research Engineer position is to design and develop data visualizations and dashboards for researchers using data sets from various sources. This includes:
- Develop following OSU-R and AERIS development standards and best-in-class solutions
- Build high-performance, scalable and maintainable user interfaces using the latest web data visualization tools
- Play both sides of the house and act as an analyst and as engineer when defining solutions to user problems and prioritize for optimal outcomes
- Need to be able to speak to the researchers in their jargon and translate to Data Services solutions/providers such as AERIS
- Early-stage troubleshooting
- Application access
Please apply as soon as possible. Read more and apply here (advertisement is in French, then in English): http://wp1.aeris-data.fr/wp-content-aeris/uploads/sites/78/2025/02/REALISTIC-IR_offer_merged-freng.pdf