⛔ This position is no longer available.
University: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Country: Germany
Deadline: 2026-04-23
Fields: Remote Sensing, Computer Science, Artificial Intelligence, Geosciences, Environmental Science
Topic: Europe – PhD Position in Deep Learning at Alfred Wegener Institute
Fields: Remote Sensing, Computer Science, Artificial Intelligence, Geosciences, Environmental Science
Position: PhD
Country: europe
Deadline: 2026-04-23
University: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Real Country: Germany
Main Category: computer & data sciences
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Are you passionate about harnessing the power of artificial intelligence to unlock critical insights into our planet’s changing climate? If you are eager to contribute to cutting-edge research on Arctic permafrost and remote sensing, this fully funded PhD position at the Alfred Wegener Institute in Germany may be the transformative opportunity you are seeking.
About the University or Research Institute
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) stands as one of Europe’s premier research institutions in the fields of polar and marine sciences. Located in Potsdam, Germany, AWI is renowned for its interdisciplinary approach, integrating geosciences, environmental research, and advanced computational methods. The institute boasts a vibrant international community, fostering collaboration across continents and disciplines. With state-of-the-art computational resources, including high-performance computing (HPC) facilities, and a strong commitment to diversity and inclusion, AWI offers a stimulating environment for early-career researchers. Doctoral candidates benefit from comprehensive training programs, extensive support services, and membership in the prestigious POLMAR postgraduate program or equivalent graduate schools.
Germany itself is a hub of scientific innovation and academic excellence. As a PhD student in Germany, you will experience a high quality of life, robust social benefits, and a culture that values research, international exchange, and work-life balance. The country’s central location in Europe provides easy access to other leading research centers and fosters a truly global academic network.
Research Topic and Significance
The focus of this PhD position is on “Deep Learning for Multi-Decadal Remote Sensing of Arctic Lake Changes.” Arctic permafrost soils represent the largest terrestrial pool of organic carbon, and their rapid thaw due to climate change poses significant global risks. The release of greenhouse gases from thawing permafrost is a major uncertainty in climate projections, making this research both timely and impactful.
This project is part of the PeTCaT initiative, a five-year international research endeavor funded by Schmidt Sciences within the Virtual Institute of Carbon Cycle (VICC) program. The project unites experts from Germany, Canada, the USA, Sweden, and The Netherlands, aiming to advance our understanding of permafrost thaw dynamics, soil carbon stocks, and the resulting climate feedbacks. By leveraging advanced remote sensing and AI-driven analysis, the research will provide crucial data to refine Earth System Models and inform policy decisions on climate mitigation.
Project Details
The successful candidate will join the Permafrost Remote Sensing group led by Prof Dr Guido Grosse and co-supervised by Dr Ingmar Nitze at AWI. The project involves:
– Conducting a comprehensive, observation-based analysis of permafrost thaw dynamics in Arctic regions, focusing on lake-rich landscapes over multi-decadal timescales.
– Acquiring, preprocessing, and analyzing historical Earth Observation (EO) imagery, including sources like CORONA and HEXAGON, to build robust preprocessing pipelines.
– Applying artificial intelligence and machine learning models to automatically detect and extract key permafrost landscape features, with an emphasis on lakes and thaw slumps.
– Developing workflows to extend the analysis to recent imagery, quantifying the long-term dynamics of permafrost disturbances across the circumarctic region.
– Collaborating with an international team, utilizing high-performance computing resources, and contributing to scientific publications and conferences.
– The position is embedded in a dynamic, interdisciplinary team and offers opportunities for international travel, participation in expeditions, and extensive professional development.
Candidate Profile
Ideal applicants will have:
– A Master’s degree in remote sensing, computer science, or closely related disciplines.
– Solid experience in handling and analyzing large-scale remote sensing datasets.
– Demonstrated proficiency in programming, automation of data processing, and AI/ML methods.
– Ability to publish research in peer-reviewed journals and present at national and international conferences.
– Strong teamwork, communication, and independent research skills.
– Willingness to participate in international collaborations, travel, and virtual meetings across time zones.
– Excellent English proficiency (CEFR level C1 or equivalent).
Preferred qualifications include experience with high-performance computing environments, automated image co-registration and rectification, knowledge of permafrost processes or landscape disturbances, and advanced software engineering skills.
AWI values diversity and inclusion, encouraging applications from all backgrounds, including those with disabilities, and provides support for international and family-related needs.
Application Process
Applications must be submitted online by 2026-04-23. Please apply in English. No photo is required. For more information and to access the application portal, visit:
https://recruitingapp-5442.de.umantis.com/Vacancies/2164/Description/2
Conclusion
This PhD position at the Alfred Wegener Institute offers an exceptional opportunity to work at the intersection of AI, remote sensing, and climate science, contributing to vital research with global implications. If you are motivated to advance your academic career and make a meaningful impact on our understanding of climate change, consider applying. Stay connected for similar opportunities in the future.
Questions & Answers
Question: What makes Germany an attractive destination for PhD students?
Germany is known for its outstanding research infrastructure, generous funding for doctoral candidates, and a high standard of living. International students benefit from a multicultural environment, strong social support, and access to leading academic networks.
Question: What is the significance of studying Arctic permafrost thaw?
Arctic permafrost stores vast amounts of organic carbon. Its thawing can accelerate climate change by releasing greenhouse gases, making it crucial to monitor and model these changes accurately.
Question: What programming skills are required for this position?
Applicants should have strong programming and automation skills, with experience in processing remote sensing data and applying AI/ML methods.
Question: Will I have opportunities to collaborate internationally?
Yes, the project is part of an international consortium, offering extensive opportunities to collaborate with researchers from multiple countries.
Question: What kind of support does AWI provide for international students?
AWI offers support through its International Office and Family Office, helping new international team members settle in and adjust to life in Germany.
Question: What are the main benefits for PhD students at AWI?
Benefits include comprehensive training programs, access to high-performance computing, flexible working hours, 30 days of vacation, health promotion, company fitness, and occupational pension provision.
Question: Is experience with high-performance computing (HPC) necessary?
While not mandatory, experience with HPC environments is preferred and will enhance your ability to process and analyze large datasets efficiently.
Question: How do I apply for the position?
Applications should be submitted online via the official AWI application portal by the specified deadline.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/2026/03/12/phd-admission-chance-calculator/
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