Scientific Programmer (m/f/d): Climate Modelling, Data Infrastructure and Online Tools

Tasks

• Develop, deploy and maintain the real-time online tool that detects and visualizes global record-breaking and compounding extreme weather events as they occur.
• Set up, operate and maintain numerical and AI/ML-based climate models and aid in the setup of modeling experiments on MPI-GEA’s HPC systems
• Build and maintain a climate database, including reanalysis, observational, model and impact data, with reproducible workflows
• Develop and maintain analytical tools and shared code libraries for the research group
• (Co-)author scientific publications and present research at workshops and conferences
• Support group members in efficient data handling, machine learning workflows and good software practice (version control, testing, documentation)
• Ensure that data, code and tools are documented, and available for use by the wider community

Profile

• PhD in climate, physics, math, data science, or related fields
• Experience with climate model data and gridded climate data tools and libraries (e.g. xarray, Dask, CDO)
• Experience with machine-learning frameworks (e.g. PyTorch, TensorFlow, JAX)
• Experience with setting up climate or weather model simulations and with HPC environments
• Experience in web development and deploying interactive data platforms (e.g. web mapping and dashboards, containers, APIs)
• Good command of written and spoken English

Our offer

This full-time or part-time position with at least 34 hours/week will begin on the 1st of January, 2027, though some flexibility in start date is possible. The term is three years, with the option of an extension. Renumeration will follow the public service pay scale (TVöD Bund ) up to paygroup 13, according to the candidate’s qualifications and experience. You are entitled to an annual bonus, 31 days' holiday and time off on 24th and 31st December. We also offer attractive, family-friendly flexi-time and remote-working arrangements. A company pension scheme (VBL), an employer subsidy for public transport, the opportunity for further training, and language and health courses complete our offer.

The Max Planck Society is committed to employing more individuals with disabilities and especially encourages them to apply. We are also committed to encouraging diversity and actively challenging biases based on gender, nationality, ethnicity, sexual orientation, religion and other components of identity. We were honored with the TOTAL E-QUALITY award for the first time in 2023 for our commitment.

The Max Planck Society supports the compatibility of family and career and is certified according to the "berufundfamilie" (“job and family”) audit.

Your application should include:

• A cover letter

• A CV of no more than 3 pages

• A summary of research interests with max. 2 pages

• A list of scientific, peer-reviewed publications or examples of successful coding projects related to the position

• Contacts of two referees

• Any relevant certificates

Position remains open until filled.

About us

The Max Planck Institute of Geoanthropology (MPI-GEA) was founded in summer 2022 and is a dynamically growing, highly-interdisciplinary and international research institution. The research focuses on modeling and analyzing the interrelationships between biophysical and human-made systems, looking from the deep past to the future. The institute examines how humanity has driven the emergence of the Anthropocene – the period in which human activities began significantly impacting our planet’s climate and ecosystems – and identifying potential intervention points towards a more sustainable future.

The Carl Zeiss Stiftung Independent Research Group on High-End Climate Risks (CZS-HECR) at MPI-GEA works towards an end-to-end understanding of worst-case climate outcomes, from unprecedented and compounding extremes to their societal impacts. The group combines fundamental physical process understanding rooted in climate physics and Earth System analyses, targeted climate model experiments, advanced statistics, including machine-learning- and explainable AI to deliver usable climate risk estimates under current and future climates for core societal sectors such as health, food, energy and finance.

Contact

Dr. Kai Kornhuber

Email: [email protected]

Max-Planck-Institute for the Science of Human

Kahlaische Straße 10

07745 Jena

gea.mpg.de

Twitter: @MPI_GEA