Careers

Climate Modeling Specialist. Espoo, Finland (deadline 13th November 2026)

Do you want to contribute to one of Europe's most ambitious climate modelling initiatives and help deliver actionable information for climate adaptation?

At CSC, we offer unparalleled growth opportunities, a supportive and inclusive work environment, and the chance to work on the future of research and learning. Join us today!

We are now looking for a Climate Modeling Specialist to join CSC’s Digital Twin Technologies Group in Espoo for a fixed-term contract until April 2028. Our team develops technologies for digital twins, with a particular focus on Earth system digital twins as part of the Destination Earth initiative (https://destination-earth.eu/).

In this position, you will contribute to the Destination Earth Climate Digital Twin project, which
delivers global high-resolution climate and impact sector information to support decision-making (https://destine.ecmwf.int/climate-digital-twin/). You will play a key role in running and monitoring high-resolution climate simulations, ensuring the reliable operation of the Climate Digital Twin. To achieve this, you will utilize EuroHPC systems, including the LUMI supercomputer (https://lumi-supercomputer.eu/). You will work as part of an international team of climate scientists, software engineers, and HPC experts. The working language is English.

Your key responsibilities will be to:

• Execute, monitor and document multi-decadal km-scale operational simulations using climate models (ICON, IFS-NEMO and IFS-FESOM)
• Perform test simulations to validate model configurations, workflow and software updates prior to operational runs
• Investigate and troubleshoot issues encountered during simulations in collaboration with workflow, software, and model development teams
• Improve automatization of routine operational tasks in collaboration with team members
• Collaborate closely with the international team of experts to support the successful operation of the Climate DT

What we expect

To be successful in the role, you need:

• Proven experience in working with HPC environments, including Linux-based systems and batch schedulers such as Slurm
• Experience in running and monitoring large-scale numerical simulations
• Programming and scripting skills in Python and/or Bash
• Strong problem-solving skills and the ability to manage complex workflows while maintaining attention to detail
• Ability to work effectively in an international and multidisciplinary team
• Fluent communication skills in English, both written and spoken

We also value:

• Experience with climate, weather, or Earth system modelling applications
• Experience with scientific software development
• A degree in a relevant field, e.g. meteorology, climate science, physics, computational science, or computer science. The position is suitable for a recent MSc graduate or for a PhD student nearing completion of their degree.

What we offer

At CSC, our employees enjoy a wide range of benefits designed to support both their professional and personal lives. We offer flexible working hours and the option for remote work, making it easier to balance work and daily life. Our comfortable workspaces in Keilaniemi, Espoo are designed to facilitate both teamwork and tasks that require quiet concentration. We provide comprehensive occupational healthcare services, comprehensive health insurance, and remote work insurance. Employees can take advantage of a lunch benefit during the workday, and we support recreational activities with sports and cultural benefits.

Please send your application by 13.11.2026.

https://cscfi.recruitee.com/o/climate-modeling-specialist-1

The recruitment process will include interviews and a work personality assessment. Interviews may begin already during the application period, so we encourage you to apply as soon as possible.

Diversity is part of who we are, and we continuously work to ensure the diversity and equality of our workplace. We encourage all skilled applicants regardless of background to apply for the position.

We only process applications submitted through our official recruitment system. Applications sent by email will not be considered for data protection reasons.

If you have any questions regarding the position, please contact Development Manager Jenni Kontkanen, jenni.kontkanen(at)csc.fi, +358504146406, available on 6.11 at 10-11.
 

Fully funded Alexander von Humboldt Postdoctoral Fellowship (deadline 30th November 2026) 

Join the Biosphere-Atmosphere Interaction Research Group at the Institute of Landscape Ecology, Department of
Geosciences, University of Münster, through Germany's most prestigious postdoctoral fellowship program.
The proposed project will focus on quantifying greenhouse gas fluxes in the city of Münster, contributing to a better understanding of greenhouse gas dynamics in urban environment. 

Requirements for the position

1) A PhD degree in environmental sciences, atmospheric or climate science, hydrology, or a closely related field.
2) Demonstrated experience with either of these fields:
• novel gas exchange measurement techniques (experience
with eddy covariance is an advantage)
• mechanistic ecosystem modelling.

Successful candidates will be nominated as international talents. Applicants should therefore demonstrate an outstanding academic profile. For your application to be successful, you may not have lived in Germany for longer than a total of 90 days within the 18- month period prior to submitting your application. The program aims to increase the representation of women in science, thus applications are invited exclusively from female candidates.

APPLICATION PROCESS
Send a cover letter, CV including list of publications, and contacts of 2 references, in a single PDF document to Prof. Mana Gharun mana.gharun@uni-muenster.de
APPLICATION DEADLINE: 30 November 2026
STARTING DATE: 1 April 2027 (CAN BE NEGOTIATED)

TVL E11 - Engineer/technician for Eddy Covariance System Installation and Maintenance. Germany (deadline 31st October)

Salary will be according to TVL-E11 with experience level determined by the before acquired experience (see TVL table for overview).