The Leibniz Institute of Atmospheric Physics (IAP) is offering a part-time (75%) PhD student position in the Department of Modelling of Atmospheric Processes, focusing on generative diffusion models for atmospheric data assimilation. This three-year position, starting as soon as possible, is designed for candidates interested in advancing scientific knowledge of the mesosphere and lower thermosphere through innovative machine learning and modelling approaches. The successful candidate will develop and train generative diffusion models to reverse diffusion processes, enabling efficient data assimilation for atmospheric fields. The research involves generating atmospheric fields for specific time instances that closely match pointwise observations, training models on circulation fields from numerical simulations, and exploring strategies for generating full 3D fields or decomposing tasks into 2D layers to optimize GPU memory usage. Applicants should hold a completed MSc degree in mathematics, informatics, physics, or a related field, with strong expertise in machine learning and high performance computing on CPUs and GPUs. Proficiency in Fortran, Python, shell scripting, and Linux command-line environments (including remote systems via SSH) as well as Windows is required. Interest in modern software engineering practices and fluency in English are essential. The institute offers an attractive working environment near the Baltic Sea, modern equipment, engagement in an international research community, participation in the company pension scheme (VBL), flexible working hours, and mobile working options. The employment relationship follows the Collective Agreement for the Public Service of the Federal States (TV-L). IAP is committed to advancing atmospheric physics, instrumentation, analysis, and modelling to address societal needs such as climate change. The institute collaborates closely with the University of Rostock and is part of the teaching program of the Institute of Physics. As a member of the Leibniz Association, IAP values family friendliness, equality of opportunity, and flexibility. Qualified women and people with disabilities are encouraged to apply. To apply, submit a motivational letter, CV, diploma with final grade, certificates, testimonies, and references, indicating the keyword 2026-03, to [email protected]. Applications received before April 14, 2026, will be fully considered. For further information, contact Prof. Dr. Claudia Stephan ([email protected]) or visit the institute website. Please note that application and travel costs cannot be covered by the state of Mecklenburg-Vorpommern.

The Leibniz Institute of Atmospheric Physics (IAP) is offering a part-time (75%) PhD student position in the Department of Modelling of Atmospheric Processes, focusing on generative diffusion models for atmospheric data assimilation. This three-year position, starting as soon as possible, is designed for candidates interested in advancing scientific knowledge of the mesosphere and lower thermosphere through innovative modelling and machine learning techniques. The research will center on generative diffusion models, which are powerful tools for solving inverse problems in atmospheric science. The successful candidate will train diffusion models on circulation fields from numerical models, aiming to generate atmospheric fields that closely match pointwise observations while preserving the dynamical and statistical characteristics of the model data. The project will explore whether data assimilation can be performed in one step for full 3D fields or if generating individual 2D horizontal layers separately is more efficient for GPU memory usage. Applicants should hold a completed MSc degree in mathematics, informatics, physics, or a related field. Essential qualifications include strong expertise in machine learning, high performance computing on CPUs and GPUs, proficiency in Fortran, Python, shell scripting, and experience with Linux command-line environments (including remote systems via SSH) and Windows. Interest in modern software engineering practices such as testing, code review, and modular design, as well as fluency in English, are required. The IAP offers an attractive workplace near the Baltic Sea, modern equipment, engagement in an international work environment, participation in the company pension scheme (VBL), flexible working hours, and mobile working options. The employment relationship follows the Collective Agreement for the Public Service of the Federal States (TV-L), with salary according to class EG 13 TV-L. The institute is committed to family friendliness, equality of opportunity, and flexibility, and encourages applications from qualified women and people with disabilities. Applications should include a motivational letter, CV, diploma with final grade, certificates, testimonies, and references, and be sent to [email protected] with the keyword 2026-03. Applications received before April 14, 2026, will be given full consideration. For further information, contact Prof. Dr. Claudia Stephan ([email protected]) or visit the institute website at www.iap-kborn.de. This position provides an excellent opportunity to contribute to cutting-edge research in atmospheric physics, data-driven modelling, and climate change, within a collaborative and supportive environment.