Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%)
22.04.2022, Wissenschaftliches Personal
The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics of metrology for environmental applications, and monitoring greenhouse gas and pollutant emissions using atmospheric measurements and dispersion models. We are looking to grow our team from June 2022 onwards for a Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%)
The position is initially limited to 2 years; an extension of an additional 2 years is possible.
TASKS:
- Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements (MUCCnet: atmosphere.ei.tum.de)
- Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments
- Analysis of ground-based and satellite-based remote sensing data using High-Performance Computing at LRZ
- Publication of the results in scientific journals
- Assistance in teaching
- An above-average degree in mathematics, computer science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification
- Sound knowledge of mathematics and physics, especially in the fields of linear algebra and numerical optimization
- Understanding of statistical modeling and inverse problems is desirable
- Experience with programming languages like Python, MATLAB, or C++
- Joy in dealing with challenging and interdisciplinary questions
- Interest in atmospheric research and in contributing with your technical skills to improve and protect the environment and climate
- Sound knowledge of written and spoken English
- A young and dynamic team and an exciting work environment
- A diversity of exciting research questions and possibilities to develop and pursue novel solution approaches
- Access to an excellent international network and up-to-date research topics
- Opportunities to work with the top peers from Harvard University, NASA JPL, Caltech, UC Berkeley, and other European partners, e.g. LSCE (France), EMPA (Switzerland)
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
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Kontakt: esm@ei.tum.de
More Information
ESM_Announcement_Modelling.pdf |
ESM Announcement Advanced Modeling,
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