Home Postdoc Abroad Postdoctoral Researcher (f/m/d) in Computer Science or Statistics at KIT, Germany

Postdoctoral Researcher (f/m/d) in Computer Science or Statistics at KIT, Germany

Postdoc in Germany

Summary

The Institute of Theoretical Informatics (ITI) at the Karlsruhe Institute of Technology (KIT) is seeking a motivated Postdoctoral Researcher to join the interdisciplinary World Model of Our World (WOW) project. This project aims to develop a novel AI world model to simulate climate change impacts. The successful candidate will focus on the statistical calibration of machine learning models for weather and climate prediction.

Postdoctoral Researcher (f/m/d) in Computer Science or Statistics at KIT, Germany


Job Details

FeatureDetails
DesignationPostdoctoral Researcher (f/m/d)
Contract Duration2 years
Salary59,300.00 to 73,200.00 EUR gross per year (Salary category 13 TV-L)
Working HoursFull-time
Start DateAs soon as possible

Research Area

  • Statistical calibration of machine learning models for weather forecasting and climate science.
  • Development of novel statistical calibration techniques based on proper scoring rules.
  • Investigation of the statistical calibration of generative machine learning models.

Location

  • Primary Workplace: Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany.

Eligibility & Qualifications

  • Education: PhD in machine learning, statistics, computer science, mathematics, physics, or a related field.
  • Knowledge: Strong theoretical background in statistical calibration and machine learning.
  • Experience: Practical experience building prototypes using frameworks like PyTorch or TensorFlow.
  • Publications: Track record of publishing at major conferences such as NeurIPS, ICML, ICLR, or AISTATS (or relevant journals).
  • Preferred: Experience with large-scale machine learning models for weather prediction is considered a plus but is not mandatory.

Job Description

As a Postdoctoral Researcher, you will:

  • Conduct cutting-edge research on the statistical calibration of machine learning-based predictions.
  • Publish research findings in high-impact journals and at major machine learning conferences.
  • Collaborate within a highly motivated interdisciplinary team and with international research partners (e.g., Cambridge, MIT, ETH Zurich, Google Deepmind).
  • Supervise research interns, as well as bachelor and master students.

How to Apply

Applications should be submitted in English or German and must include:

  • Cover letter (including motivation).
  • Curriculum vitae with a full publication list.
  • Relevant academic certificates.
  • A summary of research accomplishments.
  • Names and contact information for two references.

Apply now via the official portal

Last Date to Apply

  • July 30, 2026

For questions regarding the application process, please contact Kimberley Bender (Personalservice) at kimberley.bender@kit.edu or +49 721 608-45411.

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