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- Aufgaben: Develop a forecasting tool for wind gust events from deep convective clouds.
- Arbeitgeber: Join a cutting-edge research team at a state-of-the-art wind park in Germany.
- Mitarbeitervorteile: Enjoy competitive pay and the chance to work on impactful energy solutions.
- Warum dieser Job: Contribute to innovative wind energy applications while enhancing your skills in meteorology and programming.
- Gewünschte Qualifikationen: Must have a degree in physics or meteorology; programming skills in Python are essential.
- Andere Informationen: Experience with machine learning and remote sensing is a plus; strong teamwork and independence required.
Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.
• completed university degree in physics or meteorology (diploma/Master) or comparable subject • good knowledge in atmospheric physics and/or statistical physics • good knowledge in programming, ideally in Python • initial experience with machine learning and numerical modelling is a bonus • knowledge in (passive) remote sensing and statistical data analyses are a plus • very good spoken and written English • high level of independence and team spirit
Payment
up to German TVöD 13
Deep-convective wind gust forecasting and implications for wind energy applications Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Deep-convective wind gust forecasting and implications for wind energy applications
✨Tip Number 1
Familiarize yourself with the latest research and developments in deep convective wind gust forecasting. This will not only enhance your understanding of the field but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Connect with professionals in the wind energy sector, especially those involved in meteorology and atmospheric physics. Networking can provide insights into the industry and may lead to valuable recommendations or referrals.
✨Tip Number 3
Showcase any relevant projects or experiences related to programming in Python, machine learning, or numerical modeling. Being able to discuss practical applications of your skills can set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your ability to work both independently and as part of a team. Highlight experiences where you've successfully collaborated on projects, as this is crucial for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Deep-convective wind gust forecasting and implications for wind energy applications
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the objectives of the PhD thesis. Understand the significance of deep convective clouds and gust fronts in wind energy applications, as well as the importance of accurate forecasting tools.
Highlight Relevant Experience: In your application, emphasize your completed degree in physics or meteorology, and any relevant experience you have in atmospheric physics, programming (especially Python), and machine learning. Make sure to mention any projects or coursework that align with the job description.
Showcase Your Skills: Demonstrate your knowledge in remote sensing and statistical data analyses. If you have experience with numerical modeling, be sure to include that as well. Tailor your CV and cover letter to reflect these skills clearly.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the project and the opportunity to contribute to the research at the wind park in Krummendeich. Highlight your independence and team spirit.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest
✨Show Your Passion for Meteorology
Make sure to express your enthusiasm for atmospheric physics and meteorology during the interview. Share any relevant projects or experiences that highlight your interest in deep convective clouds and their implications for wind energy.
✨Demonstrate Your Programming Skills
Since good knowledge in programming, especially Python, is crucial for this role, be prepared to discuss your programming experience. You might even want to bring examples of your code or projects that showcase your skills in numerical modeling or data analysis.
✨Discuss Your Experience with Machine Learning
If you have any initial experience with machine learning, make sure to mention it. Discuss how you've applied these techniques in past projects, especially in relation to forecasting or data analysis, as this could set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to gust fronts, boundary-layer processes, and nowcasting. Brush up on your knowledge in these areas and be ready to explain complex concepts clearly, demonstrating both your expertise and your ability to communicate effectively.
