Postdoctoral Researcher (m/f/d)

The Max Planck Institute for Biogeochemistry (MPI-BGC) in Jena is dedicated to interdisciplinary fundamental research in the field of Earth system sciences with a focus on climate and ecosystems. The internationally renowned institute, which currently employs around 250 people, celebrated its 25th anniversary in 2022. Jena is known for high-tech industry, internationally renowned research institutions and a modern university, but it also has a beautiful natural setting in the green Saale valley with steep limestone slopes. The city of Jena has an active student scene and a diverse cultural life. We are looking for a Postdoctoral Researcher (m/f/d) in full time/part time possible; fix term position, 3 years.

Background and position description

The Atmosphere-Biosphere Coupling, Climate and Causality group (ABC3) and the Model Data Integration group (MDI), of the Department of Biogeochemical Integration (BGI), at the Max Planck Institute for Biogeochemistry in Jena offers a project related position open for a Postdoctoral Researcher in the context of a Horizon Europe project coordinated at the MDI: AI4PEX — Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models.

AI4PEX aims to improve the representation of processes in land, ocean and the atmosphere underpinning the largest uncertainties in feedbacks simulated in Earth system models (ESM), thereby reducing uncertainty in climate change projections. AI4PEX is based on a multidisciplinary approach, focused on “learning” from observations to accurately describe processes through a fusion of observations with advanced machine learning (ML) and artificial intelligence (AI). Such data and approaches, constrained by the laws of physics, aims to deliver a step change in the accuracy of ESMs. AI4PEX includes close to 20 partners from different European institutions focused on different aspects of Earth system research: Earth system modeling, Earth observation, AI and ML.

The current position focuses on exploring different ML and AI approaches to develop new ESM representations for key processes on land using Earth observation data. In particular, we are looking to improve biosphere-atmosphere interactions in terms of land carbon uptake and ecosystems’ response to climate extremes in the ICON land surface model from short to long time scales, looking at improving the simulation of ecosystem response to water and heat stress, phenological regimes and shifts in response to climatic changes, up to the dynamics of vegetation mortality and carbon turnover. Conceptually, we aim inducing observation-based ecosystem functioning through hybrid modelling approaches that combine different observational products. Downstream steps include the quantification of model uncertainty via simulation approaches and the coupling of model developments in the ICON Earth system model. In this endeavor, we are anticipating collaborations with CNRS-IPSL (LSCE, Paris), Lund University (Lund), Met Office (UK) and University of Leipzig (Germany).

This is an appointment within the ABC3 and the MDI groups at the BGI. We are involved in development of advanced methods and datasets towards a better understanding of Earth system dynamics. In particular, we are actively involved in researching the use and development of machine and deep learning (ML/DL) approaches to model, parameterize and analyze large datasets on Earth system dynamics, with an emphasis on modeling terrestrial ecosystems and biogeochemical processes. The position relates to the research needs in the context of the AI4PEX project where we bring ML/DL approaches to the core of modeling and analyzing land surface dynamics at the core of the ICON Earth system model.

Your tasks

• Development of a hybrid modeling approach (HM) bridging machine learning and Earth system modeling (ESM)
• Design and perform simulations for uncertainty quantification (perturbed parameter experiments) and in support of project internal requirements and outputs
• Contrast HM to traditional ESM approaches
• Dissemination of scientific results via conference communications and publications in scientific journals
• Assume responsibilities on project reporting and deliverables

Your profile

• Successfully completed PhD in climate science, meteorology, computer science, environmental science, geoecology, biology, geography or comparable fields
• Experience in Earth system modeling and/or land surface process modeling is highly valuable
• Practical experience in scientific programming and data processing (data analysis and processing with e.g. Python, Julia, R; experience in the use of HPC clusters)
• Expertise in statistical analysis, machine learning and/or data assimilation
• Ability to work both independently and as part of a team
• Very good command of written and spoken English

Our offer

The abovementioned project starts on April 1st, 2024 and we hope for the position to be filled as soon as possible. The current position duration of 3 years could be extended given upcoming projects and other opportunities.

Part-time work is generally possible. The position will be evaluated and graded following the collective agreement according to TVöD Bund; in addition, we will provide a pension plan based on the public service (VBL).

The Max Planck Society (MPS) strives for gender equality and diversity. The MPS aims to increase the proportion of women in areas where they are underrepresented. Women are therefore explicitly encouraged to apply. We welcome applications from all fields. The Max Planck Society has set itself the goal of employing more severely disabled people. Applications from severely disabled persons are expressly encouraged.

Your application

Any further inquiries about the position and/or expectations are very welcome and can be directed to Dr. Alexander Winkler (ABC3) and Dr. Nuno Carvalhais (BGI-MDI). Are you interested? Please send us your application with cover letter, curriculum vitae as well a s names and contact information of two references summarised in a PDF file (max. 10 MB) by May 10, 2024, quoting the reference number 05/2024 by e-mail to bewerbung@bgc-jena.mpg.de or to the

Max-Planck-Institut für Biogeochemie
Personalbüro: Kennwort “PostDoc”
Hans-Knöll-Straße 10
07745 Jena

We ask that you do not use application folders, but only submit copies, as your documents will be destroyed in accordance with data protection regulations after the application process has been completed. We look forward to receiving your application!