Stellendetails zu: Postdoctoral researcher (f_m_x) Remote Sensing and AI in Artic Permafrost

Overview

GFZ is Germany's national centre for solid Earth research. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz Association, the largest German scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”.

For section 4.7 Earth Surface Process Modelling (department “Geosystems”), we invite applications for the position:

Postdoctoral researcher (f_m_x) Remote Sensing and AI in Arctic Permafrost

Reference Number 11078

Global climate change disproportionately affects the Arctic region, carrying the potential to accelerate multiple positive climate feedbacks. Land-surface processes link the feedback between global climate and Arctic conditions. These processes sculpt landscapes and ecosystems underlain by permafrost, impacting areas as far as the Arctic Ocean. High-resolution remote sensing data is essential for studying surface processes in the Arctic region. We are seeking a candidate to build and maintain our data pipeline and apply it to several of our existing machine learning models, especially those dealing with super-resolution problems. The position will be supervised by Dr. Hui Tang from the Earth Surface Process Modelling section at the GFZ. The successful applicant will also collaborate with partners from the Helmholtz Centre for Polar and Marine Research (AWI).

Responsibilities

• Develop and use coupled deep learning models to interpret in situ and remote sensing data from Arctic regions
• Test and verify the diffusion model to study given areas
• Further develop the models as needed to test and validate concepts and scenarios
• Collaborate with other project members from AWI
• Interact with other members of the Earth Surface Process Modelling Section at weekly group meetings and informally
• Present results at scientific meetings and in peer-reviewed journal publications
• Supervise PhD and Master's students

Qualifications

• A Master`s degree (or equivalent) and a PhD in Earth Sciences, Physics, or Mathematics, demonstrating excellence in guided research
• Research experience in machine learning, computer vision, and diffusion models
• Experience of working with PyTorch, TensorFlow, Keras, Pandas, and Xarray
• Ability to use programming languages such as Python, MATLAB, C, C++, or Fortran
• Experience in developing scientific data pipelines
• Proven ability to work in a collaborative and multidisciplinary environment
• Creativity and critical thinking skills, as well as the ability to publish original and innovative work (preprints will be considered)
• Capacity for international teamwork and excellent communication skills
• Proficiency in spoken and written English

Contract details

Start date: As soon as possible

Fixed-term: 6 months

Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.

Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work.

Place of work: Potsdam

What we offer

• Ambitious and varied tasks in a dynamic and international research environment
• State-of-the-art equipment
• Public service benefits
• Extensive training opportunities
• Professional career advice offered by our in-house Career-Centre
• Flexible working hours and conditions
• Support with finding a good work-life balance offered by
• Institute day-care centre on site
• Working at the Albert Einstein Science Park on the Telegrafenberg in Potsdam
• Workplace within walking distance of Potsdam main train station, or just a short ride on the shuttle bus

Application and inclusion

Have we piqued your interest?

We look forward to receiving your application by 17th February 2026.

Required documents: CV and letter of motivation, as well as contact details of two referees

Please use our online application form only.

The GFZ actively promotes diversity and explicitly welcomes applications from all qualified individuals, regardless of ethnic and social origin, nationality, gender, sexual orientation and identity, religion/belief, age and physical characteristics. We also promote an inclusive working environment in which everyone can fully develop their own talents. Anyone who has been recognised as severely disabled will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer.

“Diversity in perspectives” is one of GFZ's core values. We actively promote women in science and in leadership positions. We encourage applications from all qualified individuals, including women.

Your personal data will be processed for the purpose of conducting the selection procedure on the basis of Art. 6 para. 1 b, Art. 88 GDPR in conjunction with Art. 26 of the Data Protection Act for the State of Brandenburg. After completion of the procedure, application documents will be deleted in compliance with data protection regulations.

In case of any further queries relating to the field of activity, please contact Dr. Hui Tang via email. If you have any general questions about the application process, please contact our recruiting team at our phone number +49 (0) .