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- Aufgaben: Join us to advance AI-based weather forecasting and contribute to groundbreaking research.
- Arbeitgeber: Be part of KIT, a leading European institution in research and higher education.
- Mitarbeitervorteile: Enjoy flexible working hours, remote work options, and access to training and leisure facilities.
- Warum dieser Job: Make an impact in meteorology while collaborating with top researchers in an international environment.
- GewĂĽnschte Qualifikationen: PhD in relevant fields and experience with deep learning models are essential.
- Andere Informationen: Apply by April 26th, 2024, and be part of the innovative ASPIRE project!
Das voraussichtliche Gehalt liegt zwischen 48000 - 72000 € pro Jahr.
Postdoctoral Researcher in AI-based Forecasting: Join the Institute of Meteorology and Climate Research Troposphere Research (IMKTRO) at Karlsruhe Institute of Technology (KIT) as a Postdoc in the ASPIRE project. This project, funded by the European Research Council (ERC), aims to advance subseasonal predictions through AI-based weather forecasting models. You’ll contribute to cutting-edge research in meteorology and data science, exploring the feasibility of adapting AI models for subseasonal time scales.
Designation: Postdoc (f/m/d)
Research Area: Computer Science, Data Science, Meteorology, Physics
Location: Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Minimum Requirements:
- Scientific university degree and PhD in computer science, data science, meteorology, physics, or related disciplines
- Experience in implementing and interpreting outputs of deep learning models (e.g., Transformer, Graph Neural Networks)
- Knowledge of uncertainty quantification, sub-seasonal forecasting, and experience with HPC systems and workflow optimizations are advantageous
Job Description:
- Implement probabilistic AI-based weather forecasting systems in collaboration with the Junior Research Group “Robust and Efficient AI” at KIT-SCC
- Fine-tune AI-based weather forecasting models with a focus on the source region of forecast errors
- Work on locally higher resolution implementation using simulation data generated with ICON, the NWP model of German Weather Service
- Conduct outreach activities and public relations for ASPIRE, including website management and representation at conferences
- Develop a user infrastructure for model deployment available to the public
- Prepare and publish scientific papers
How to Apply: Submit your application by April 26th, 2024, via email to Mr. Dr. Julian Quinting at Include your CV and evidence of relevant qualifications.
Salary: Salary category 13, depending on fulfillment of professional and personal requirements
Benefits:
- Work under excellent conditions in an international environment
- Access to specific training and further qualification offers
- Flexible working time models, including flexitime and work from home options
- Sports and leisure facilities, child and holiday care services
- Variety of dining options at on-campus canteens
Don’t miss this opportunity to contribute to groundbreaking research in AI-based weather forecasting at KIT, a leading institution in research and higher education in Europe!
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Postdoctoral Researcher in AI-based Forecasting, Germany Arbeitgeber: Ai Cu
Kontaktperson:
Ai Cu HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoctoral Researcher in AI-based Forecasting, Germany
✨Tip Number 1
Familiarize yourself with the ASPIRE project and its goals. Understanding the specific challenges and objectives of the project will help you tailor your discussions during interviews and showcase your genuine interest in contributing to their research.
✨Tip Number 2
Network with current researchers at KIT or those involved in similar projects. Engaging with them can provide insights into the work culture and expectations, and may even lead to valuable recommendations when applying.
✨Tip Number 3
Stay updated on the latest advancements in AI-based forecasting and meteorology. Being knowledgeable about recent developments will not only enhance your application but also prepare you for technical discussions during the interview process.
✨Tip Number 4
Prepare to discuss your experience with deep learning models and HPC systems in detail. Be ready to share specific examples of your work and how it relates to the requirements of the position, as this will demonstrate your expertise and readiness for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoctoral Researcher in AI-based Forecasting, Germany
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the ASPIRE project and its goals. This will help you tailor your application to demonstrate how your skills and experiences align with the project's objectives in AI-based weather forecasting.
Highlight Relevant Experience: Make sure to emphasize your experience with deep learning models, uncertainty quantification, and any relevant HPC systems. Provide specific examples of your work that relate directly to the requirements listed in the job description.
Craft a Strong CV: Your CV should clearly outline your academic background, research experience, and any publications. Ensure it is well-structured and highlights your qualifications for the role of Postdoctoral Researcher in AI-based Forecasting.
Prepare a Tailored Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the position and the opportunity to contribute to the ASPIRE project. Mention specific aspects of the project that excite you.
Wie du dich auf ein Vorstellungsgespräch bei Ai Cu vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning models, particularly Transformers and Graph Neural Networks. Highlight specific projects where you've implemented these technologies and how they relate to AI-based forecasting.
✨Demonstrate Knowledge of Meteorology
Since the role is focused on weather forecasting, brush up on key meteorological concepts and how AI can enhance subseasonal predictions. Be ready to explain how your background in physics or data science applies to this field.
✨Prepare for Collaboration Questions
The position involves working with a Junior Research Group, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked in a team setting, especially in research environments.
✨Engage with Outreach Activities
The role includes public relations and outreach. Be prepared to discuss any previous experience you have in communicating complex scientific ideas to non-experts, as well as your thoughts on how to effectively engage the public with your research.
