PhD: Advanced inverse modeling of greenhouse gases and air pollutantsTechnische Universität München • Fakultät für Elektrotechnik und Informationstechnik • München

Germany Universities

Germany

June 30, 2022

Description

Open Positions 1

Time Span 01 Jun 2022 for 2 years Application Deadline 30 Jun 2022 Financing yes Type of Position

  • PhD - Individual Supervisor
  • 1-2 Year Research Stay
  • Research stay at German university while doing a PhD in your home country

    Field of Research

  • Mathematics / Natural Sciences
  • Subjects Environmental Sensing and Modeling Description 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 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 oth-er European partners, e.g. LSCE (France), EMPA (Switzerland)

    INTERESTED? We look forward to receiving your application documents (English or German); Please apply exclusively by E-Mail until 15 May to esm@ei.tum.de. Further info: https:// www. esm.ei.tum.de/.

    TUM is aiming to increase the number of women employees, and applications from women are expressly welcomed. People with disabilities, with essentially the same suitability and qualification, will be preferred.

    As 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 https:// go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM.

    Working Language

  • English
  • German
  • Language of Dissertation

  • English
  • German
  • Required Documents

  • CV
  • Reports, certificates
  • Letter of Motivation
  • Research Proposal
  • List of Publication
  • Others : Summary of master thesis (not more than one page)
  • More Information https: // www. ee.cit.tum.de/fileadmin/w00cfk/esm/pdf/StellenausschreibungESMModellierung20220422a.pdf

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