Scientific Researcher (m/f/d): Advanced inverse modeling of greenhouse gases and air pollutants

Phd/doctoral Munich, Germany Apply
Job
Technical University of Munich
Faculty of Electrical Engineering and Information Technology
Theresienstraße 90
80333 Munich
Germany
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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 expand our team from June 2022 onwards:

Scientific Researcher (m/f/d) E13 TV-L, 100% with the possibility of doctorate/postdoctoral researcher:

Advanced inverse modeling of greenhouse gases and air pollutants

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: https://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

 

REQUIREMENTS:

·     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 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 to improve and protect the environment and climate

·     Sound knowledge of written and spoken English. Basic German knowledge desired.

 

WE OFFER:

·     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) 

Attached documents

ESM Modeling

Keywords:
postdoc
Inverse problems
mathematical modelling
mathematics
computer science
Data analysis
linear algebra
doctorate
numerical optimization
statistical modeling
Application Instructions

INTERESTED?

We look forward to receiving your application documents (English or German); applications should include:

·     Detailed CV, including previous publications if applicable

·     1 page research statement describing research interests and goals

·     A list of previously taken courses and grades

·     Summary of master thesis (not more than one page)

·     Names and email addresses of 2-3 academic references

 

Please send the application as a single PDF document via e-mail to  [email protected] , with “Application GHG Modeling” as the subject line. Applications will be reviewed starting from May 23rd and continue until the position is filled. 

Further info about the research group: http://www.esm.ei.tum.de/ . 

If you have any questions about the position, please contact us:  [email protected] .

 

As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. Preference will be given to candi-dates with disabilities who have essentially the same qualifications.

When you apply for a position at the Technical University of Munich (TUM), you provide personal data. Please note our data protection information according to Art. 13 Data Protection Basic Regulation (DSGVO) on the collection and processing of personal data in connection with your application http://go.tum.de/554159 . By submitting your application, you confirm that you have taken note of the data protection information of the TUM.

Deadline: Jun 30, 2022 (Add to Calendar)
This employer is not accepting applications through MathHire.org. Please follow the instructions above and refer to MathHire.org in your application.
Contact Person
Prof. Jia Chen
E-mail: log in to view e‑mail address
Posted: May 09, 2022
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