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University of Augsburg
5 days ago
Postdoctoral Research Associate or Academic Councillor in Urban-Scale Environmental Exposure Modelling and Air Pollution University of Augsburg in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time position initially fixed for three years, with the option of extending the fixed-term employment contract by a further three years. Civil-service appointment is classified at grade A13, subject to relevant requirements; employee remuneration of up to pay grade E13 under the German public-sector collective agreement (TV-L) is possible. The position includes an annual bonus payment and occupational pension scheme.
Deadline
Dec 6, 2026
Country
Germany
University
University of Augsburg
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About this position
The Chair of Model-based Environmental Exposure Science (MBEES) in the Faculty of Medicine at the University of Augsburg is recruiting a Research Associate or Academic Councillor to strengthen its urban-scale modelling activities.
The research investigates relationships between environmental factors and health parameters, using modelling to connect medical and environmental research. A central focus is the modelling of population exposure to environmental stressors at urban scale, including trace gases, particulate matter, meteorological factors, and noise in indoor and outdoor environments.
The successful researcher will develop and apply innovative numerical models, using platforms such as WRF-Chem, PALM, or similar systems, and integrate machine learning methods. The role will also contribute to the further development of the agent-based MAMS population model, which supports integrated modelling of environmental stressors, individual exposures, and health impacts.
The position involves scientific coordination with internal and external partners, including the German Aerospace Center, Heidelberg University, and the National Center for Atmospheric Research. The researcher will support doctoral researchers, communicate findings to national and international audiences, publish in peer-reviewed journals, develop research concepts, prepare grant proposals, and conduct externally funded projects.
Teaching will take place at undergraduate and postgraduate levels, particularly within the Faculty of Medicine and the Faculty of Applied Informatics. The interdisciplinary team brings together medical doctors, computer scientists, and environmental scientists, with opportunities for independent research, international collaboration, academic development, and habilitation.
Funding details
Full-time position initially fixed for three years, with the option of extending the fixed-term employment contract by a further three years. Civil-service appointment is classified at grade A13, subject to relevant requirements; employee remuneration of up to pay grade E13 under the German public-sector collective agreement (TV-L) is possible. The position includes an annual bonus payment and occupational pension scheme.
What's required
Applicants must hold a completed university degree and a doctoral degree in physics, chemistry, geography, environmental sciences, or a related natural science discipline. Strong knowledge and practical experience in mathematical modelling, numerical simulation, or computational analysis of complex systems are required, together with excellent programming skills, preferably in Python, and experience developing and applying scientific software. Applicants should be interested in interdisciplinary research at the interface of medicine, environmental sciences, and computer science, and demonstrate creativity, scientific curiosity, independent and systematic problem-solving, teamwork, communication skills, and the ability to meet deadlines. Excellent written and spoken English and willingness to travel internationally are required. Several years of postdoctoral research experience are advantageous. Documentary evidence of the required qualifications must be submitted.
How to apply
Submit the application by email to Professor Christoph Knote at [email protected] by 6 December 2026. Combine the CV, academic transcripts, degree certificates, and other supporting documents into a single PDF file.
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