Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
FĂĽr Unternehmen Auf einen Blick
- 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 options, and access to training and sports 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!
#J-18808-Ljbffr
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 demonstrate your genuine interest in contributing to their research.
✨Tip Number 2
Network with current researchers at KIT, especially those involved in the Junior Research Group 'Robust and Efficient AI'. Engaging with them can provide insights into the team dynamics and ongoing projects, which can be beneficial for your application.
✨Tip Number 3
Prepare to discuss your experience with deep learning models and uncertainty quantification in detail. Be ready to share specific examples of how you've implemented these techniques in past projects, as this will showcase your expertise and relevance to the role.
✨Tip Number 4
Highlight any outreach or public engagement activities you've been involved in. Since the role includes conducting outreach for ASPIRE, demonstrating your ability to communicate complex scientific concepts to a broader audience will set you apart from other candidates.
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.
Highlight Relevant Experience: Emphasize your experience with deep learning models, uncertainty quantification, and HPC systems in your CV and cover letter. Be specific about your contributions and outcomes in previous research projects.
Prepare a Strong CV: Ensure your CV is up-to-date and clearly outlines your academic qualifications, research experience, and any publications. Include specific details about your PhD and relevant coursework or projects.
Craft a Compelling 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 AI-based weather forecasting at KIT.
Wie du dich auf ein Vorstellungsgespräch bei Ai Cu vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI, meteorology, or data science. Highlight any specific contributions you made and how they relate to the ASPIRE project.
✨Demonstrate Technical Proficiency
Familiarize yourself with deep learning models like Transformers and Graph Neural Networks. Be ready to explain how you've implemented these models in past projects and discuss any challenges you faced.
✨Understand the Project Goals
Research the ASPIRE project and its objectives thoroughly. Be able to articulate how your skills and experiences align with the project's goals, particularly in subseasonal forecasting and uncertainty quantification.
✨Prepare for Outreach Discussion
Since the role involves public relations and outreach activities, think about how you would communicate complex scientific concepts to a non-expert audience. Prepare examples of past outreach efforts or ideas you have for engaging the public.
