Local recruitment: Internship (Science and Policy Team)

Climate Analytics

Berlin, Germany 🇩🇪


Job description

We are currently offering internships for summer 2023 to
work with the Science and Policy Teams based in our Berlin office. We are looking for talented and organised team players with a keen interest in working in the climate change field. You will gain experience by working in project teams addressing a variety of climate issues, while honing your existing skills.

Internship topics

We have identified several topics and projects where support from multiple interns is desired for summer 2023 (roughly July – September although dates are flexible). While these are likely to be the main focus of a given internship, there are opportunities to support other projects as needed. In your application, please indicate which topic interests you the most from those listed.

Note: We will continue to add additional topics to this list over the coming months. Please check back again for further opportunities.

1. Python programming tasks (all require an intern with Python programming skills):

Warming attribution calculator (version update): Calculate GMT temperatures for all CMIP6 runs and update an existing online tool: https://wlcalc.climateanalytics.org/choices.

Tropical cyclone hindcasts for the Pacific or Indian Ocean: Based on an existing study done in the Atlantic Ocean, support reproduction of tropical cyclone hindcasts for the Pacific or Indian Ocean.

Economic cost of climate change: Contributing towards a larger project that aims at computing future economic costs under different emissions scenarios. Task mainly consists of data analysis and some pre-& post-processing. In addition to Python programming skills, some interest in economic subjects is desired.

Climate change metrics for the agricultural sector: Understanding the implications of different emission scenarios for the agricultural sector, i.e. the impact on crop yields and food security.

Extending TIMBER v0.1 to account for irrigation and represent relative humidity: Train the TIMBER v0.1 framework to represent local temperature responses to irrigation, as well as extend the existing Generalised Additive Model used in TIMBER to a Vectorised approach so as to represent both temperature and relative humidity responses to af/de/reforestation.

2. Renewable energy systems research

Techno-economic Renewable Energy Source (RES) potentials: Literature research of techno-economic RES potentials published by established organisations. This task requires an understanding of how RES work.

3. Land use and Carbon Dioxide Removal (CDR) options

Literature research and policy analysis for carbon-dioxide removal options in OECD countries and land use models. Can include data collection (historical land use emissions, forest data). This task requires an understanding of CDR options and modelling work. Python programming skills are not required but a plus.

4. Multivariate emulators

Evaluating model performance: Developing a standardized procedure to evaluate and compare the performance of emulators (= very simple models that mimick climate models). Mainly time-series analysis (in real and fourier space). Python programming skills are required

Rossby waves (or other teleconnections) in MESMER simulations: Support Science Team colleagues with developing new ways that MESMER, an Earth system model emulator, could be altered to reproduce teleconnections. Python programming skills are required

Developing a multivariate emulator: Extending methodology from this paper to joint temperature-precipitation projections. The task mainly consists of applying statistical/ machine learning techniques to climate model output in order to buid a smaller, more efficient models that may be employed for temperature and precipitation projections. Python programming is a plus, some affinity for statistics and eagerness to engage with new methodologies; NO prior knowledge of emulators is required.

Your profile

You will ideally have the following qualifications and skills:

  • At least a Bachelor degree in environmental or related studies
  • Relevant skills as identified in the task descriptions above
  • Ability to research and synthesise information from diverse sources
  • Good organisational skills, self-motivation and the willingness to take on additional tasks as needed
  • Our working language is English, therefore excellent English writing and verbal skills are necessary. Basic German skills are welcome, but not required. Other language skills are an asset.

We offer

  • A job with purpose. With us you will work in a team of engaged people and with your skills you can make a positive contribution to our work in the field of climate change.
  • A positive and inspiring working atmosphere in an international team. Our Berlin office is located near Moritzplatz in the heart of the lively Kreuzberg, surrounded by a dynamic startup scene.
  • Working from home or a mix of office and home office is possible and the preferred option is communicated in advance.
  • A certain level of flexibility in terms of working time if mentioned in advance and approved by the supervisor.


Application Deadline: Ongoing
Internship duration: Minimum 3 months, with ideal time frame identified above under internship task descriptions
Location: Berlin, Germany, with the option for remote / hybrid working in consultation with your internship supervisor
Terms: Contingent upon internship requirements and project funding, we are able to offer a stipend.
Requirements: For non-EU citizens: You must have the legal ability to work in Germany for the duration of your internship.

For further information send your questions via email to recruiting@climateanalytics.org.

Please apply with your CV and cover letter in English, explaining 1) which task you are most interested in and why and 2) if you have the skills identified as required for the task. Please apply exclusively using the application form. Applications by email or by post can unfortunately not be processed.





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