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Meteorologist, Physicist or similar (f/m/x) Jetzt bewerben
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Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Meteorologist, Physicist or similar (f/m/x)

Meteorologist, Physicist or similar (f/m/x)

Oberpfaffenhofen 45000 - 63000 € / Jahr (geschätzt)
Jetzt bewerben
Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Auf einen Blick

  • Aufgaben: Develop a cutting-edge forecasting method for extreme weather events using deep learning and physical modeling.
  • Arbeitgeber: Join a pioneering team at the forefront of climate science and technology.
  • Mitarbeitervorteile: Enjoy competitive pay, collaborative projects, and the chance to work with advanced satellite data.
  • Warum dieser Job: Make a real impact on climate change while gaining hands-on experience in a dynamic research environment.
  • Gewünschte Qualifikationen: Must have a Master's in physics or meteorology, programming skills, and a passion for atmospheric science.
  • Andere Informationen: Work closely with experts and contribute to aviation case studies while exploring innovative solutions.

Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.

Deep moist convection constitutes one of the most important atmospheric transport mechanisms and is associated with several extreme-weather events (hail, heavy precipitation, wind gusts, …). As a consequence of climate change, the severity of these events is expected to increase in the future. Spatiotemporally highly resolved short-term predictions of deep moist convection are an essential tool to limit significant social and economic damage. Applications range from automated transportation to optimal routing of air traffic.
The objective of this PhD thesis is the development of a more accurate, robust and physically consistent short-term forecasting method for deep moist convection. The starting point will be a prototypical prediction method currently under development, in which we combine physical model building with deep learning. In a first step, the existing model shall be extended to the use of data from the new Meteosat Third Generation (MTG) satellite mission, of which we are among the first users. In a second step and in close collaboration with the DLR Institute of Data Science in Jena, uncertainties and explainability of the model will be established. On the basis of these analyses, potentials for improvement shall be identified and implemented. This work may benefit from concepts investigated in an ongoing PhD thesis and shall explicitly exploit synergies. In addition to thorough validation of the model, case studies in aviation demonstrators are integral part of the project.

completed scientific university degree in physics or meteorology (diploma/Master) or a comparable subject good knowledge in atmospheric physics and/or statistical physics good knowledge in programming, ideally in Python ideally, initial experience with machine learning knowledge in (passive) remote sensing and statistical data analyses are a plus very good knowledge in English high level of independence and team spirit

Payment

Up to German 13 TVöD.

Meteorologist, Physicist or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Join a pioneering research environment that values innovation and collaboration, where your work as a Meteorologist or Physicist will directly contribute to advancing short-term forecasting methods for deep moist convection. Our commitment to employee growth is reflected in our supportive work culture, offering access to cutting-edge technology and the opportunity to collaborate with leading experts at the DLR Institute of Data Science. Located in a vibrant academic community, we provide a stimulating atmosphere that encourages creativity and professional development, making us an exceptional employer for those seeking meaningful and impactful careers.
Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Kontaktperson:

Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team

Deutsches Zentrum für Luft- und Raumfahrt (DLR) Profil ansehen

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Meteorologist, Physicist or similar (f/m/x)

✨Tip Number 1

Network with professionals in the meteorology and physics fields. Attend conferences, workshops, or webinars related to atmospheric science and deep learning. Engaging with experts can provide insights into the latest research and may lead to valuable connections.

✨Tip Number 2

Familiarize yourself with the Meteosat Third Generation (MTG) satellite mission and its data applications. Understanding how this new technology impacts weather forecasting will give you an edge in discussions during interviews.

✨Tip Number 3

Showcase any projects or research you've done that involve machine learning or programming in Python. Being able to discuss your hands-on experience with these tools will demonstrate your readiness for the role.

✨Tip Number 4

Prepare to discuss the importance of explainability and uncertainty in predictive models. Having a solid grasp of these concepts will highlight your understanding of current challenges in atmospheric modeling and forecasting.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Meteorologist, Physicist or similar (f/m/x)

Atmospheric Physics
Statistical Physics
Programming Skills in Python
Machine Learning
Remote Sensing
Statistical Data Analysis
Model Validation
Data Interpretation
Collaboration Skills
Independence
Problem-Solving Skills
Communication Skills in English
Research Methodology
Analytical Thinking

Tipps für deine Bewerbung 🫡

Tailor Your CV: Make sure your CV highlights your completed scientific degree in physics or meteorology, along with any relevant experience in atmospheric physics, programming (especially Python), and machine learning. Emphasize your independence and teamwork skills.

Craft a Strong Cover Letter: In your cover letter, express your passion for deep moist convection and its implications for extreme weather events. Discuss your interest in combining physical modeling with deep learning and how your background aligns with the objectives of the PhD thesis.

Showcase Relevant Projects: If you have worked on projects related to remote sensing, statistical data analysis, or machine learning, be sure to include these in your application. Highlight specific outcomes and what you learned from these experiences.

Proofread and Format: Before submitting your application, carefully proofread all documents for clarity and grammatical accuracy. Ensure that your formatting is professional and consistent throughout your CV and cover letter.

Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest

✨Show Your Passion for Atmospheric Science

Make sure to express your enthusiasm for atmospheric physics and deep moist convection. Share any relevant projects or research you've been involved in, especially those that relate to extreme weather events or climate change.

✨Demonstrate Your Technical Skills

Be prepared to discuss your programming experience, particularly in Python. Highlight any projects where you've applied machine learning techniques or worked with remote sensing data, as these are crucial for the role.

✨Discuss Collaboration and Independence

Since the position involves close collaboration with the DLR Institute of Data Science, emphasize your ability to work both independently and as part of a team. Share examples of how you've successfully collaborated on scientific projects.

✨Prepare for Case Studies

Expect to discuss case studies related to aviation demonstrators. Familiarize yourself with recent advancements in short-term forecasting methods and be ready to suggest potential improvements based on your knowledge and experience.

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

  • Meteorologist, Physicist or similar (f/m/x)

    Oberpfaffenhofen
    45000 - 63000 € / Jahr (geschätzt)
    Jetzt bewerben

    Bewerbungsfrist: 2026-12-21

  • Deutsches Zentrum für Luft- und Raumfahrt (DLR)

    Deutsches Zentrum für Luft- und Raumfahrt (DLR)

    Bonn +29
    1907

    Wir sind das Forschungszentrum der Bundesrepublik Deutschland für Luft- und Raumfahrt. Wir betreiben Forschung und Entwicklung in Luftfahrt, Raumfahrt, Energie und Verkehr, Sicherheit und Digitalisierung. Global wandeln sich Klima, Mobilität und Technologie. Wir nutzen das Know-how unserer 54 Institute und Einrichtungen, um Lösungen für diese Herausforderungen zu entwickeln. Unsere 11.000 Mitarbeitenden haben eine gemeinsame Mission: Wir erforschen Erde und Weltall und entwickeln Technologien für eine nachhaltige Zukunft. So tragen wir dazu bei, den Wissens- und Wirtschaftsstandort Deutschland zu stärken. Unsere umfangreichen Forschungs- und Entwicklungsarbeiten in Luftfahrt, Raumfahrt, Energie, Verkehr, Sicherheit und Digitalisierung sind in nationale und internationale Kooperationen eingebunden. Über die…

    Deutsches Zentrum für Luft- und Raumfahrt (DLR) Profil ansehen

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