The Institute of Climate and Energy Systems – Stratosphere (ICE-4) develops instruments, conducts global observations, and runs chemistry-climate models to study the stratosphere’s role in the climate system. Our mission is to enhance climate and weather predictability by examining atmospheric processes driving circulation, composition variability and trends, and stratosphere-troposphere coupling. We offer a 2-year Postdoc position in the Helmholtz InnoPool SOLVE project (SOLar and Volcanic Fingerprints in past and future Climates). SOLVE explores how human-induced climate change modulates the effects of natural drivers like volcanic eruptions and solar activity. This position will use machine learning, causal inference, and climate simulations to study human impacts on solar/volcanic climate signatures, including events like the Little Ice Age.
Your Job:
- Work on a range of machine learning and/or causal inference methods to study the impact of volcanic and solar forcings on stratosphere-troposphere coupling, where explainability, interpretability, and reliability are as important as high accuracy.
- Analyse strategically designed chemistry-climate model simulations and paleo-climate data records to advance our understanding of the underlying theory of solar and volcanic impacts on surface climate.
- Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large, distributed computer systems.
- Write reports and journal publications, regularly participate in SOLVE project meetings together with our Helmholtz partners (GEOMAR, AWI, GFZ and KIT), and attend international conferences to present your work.
Your Profile:
- PhD in atmospheric sciences, meteorology, or computer sciences (or a related field).
- Ideally bring experience in devising machine learning models, causal inference methods, and other AI tools.
- Scientific track record with publications at internationally renowned venues.
- Solid mathematical background, distinct analytical and numerical skills.
- Solid programming skills (e.g. Python).
- Excellent ability to cooperate at the boundary of natural sciences and data science, and to work as part of a team, interdisciplinary and cross-topical thinking.
- Very good communication skills.
- Very good English, both spoken and written. German language skills are not necessary but a plus.
- High motivation and work ethics.
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:
- A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work.
- A world-leading, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher.
- Comprehensive training offers and individual opportunities for personal and professional development.
- Very good conditions for work-life balance and a family-friendly corporate policy.
- Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office.
- Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors.
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer. We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 2 years. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group EG 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.