Open Position for Doctoral Researchers (m/w/d) Machine Learning and Climate Modelling
The Chair of Data Science at JMU Würzburg invites applications for a PhD position in the field of Data Science and Deep Learning particularly on the intersection of Machine Learning and Climate Modelling.
Project & Research Focus
The position is part of the SMART-TWIN project, which aims to develop a digital planning tool for climate-resilient urban development, using the city of Würzburg as a case study. A central goal is to integrate a high-resolution urban climate model (PALM-4U) into the city's digital twin to evaluate the effects of urban planning measures under various climate and weather scenarios.
A key aspect of the project involves applying state-of-the-art machine learning techniques to improve data integration, model calibration, and to accelerate the complex simulations performed with the PALM-4U model. The position thus offers a rich environment for applying data-driven modeling approaches to highly relevant real-world problems.
Current research fields relevant to the project include:
- Physics-Informed Machine Learning
- Data-Driven Surrogate Modeling
- Neural PDE Solvers
- Hybrid Modeling
New methods from these areas are expected to be adapted and further developed within the project.
About Us
The Chair of Data Science is a diverse and dynamic research group and part of the Center for Artificial Intelligence and Data Science (CAIDAS) at the University of Würzburg. We conduct research in a wide range of domains within Data Science and Deep Learning, including language models, climate modeling, security research, and knowledge integration in large language models (LLMs).
What We Offer
- A collaborative, experienced, and supportive team environment
- Access to high-performance computing infrastructure, including both university-level (e.g., Julia2) and national resources (e.g., NHR@FAU)
- Opportunities to attend leading international conferences
- Freedom to explore and develop your own research ideas
- Full-time position (100%, TV-L E13 salary scale)
- A varied work environment that includes research, teaching assistance, project involvement, active collaboration within the group
- Flexible working hours and the option for remote work (part-time arrangements possible)
Your Profile
- Master’s degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, or a related field
- Strong programming skills in Python; experience with deep learning frameworks (preferably PyTorch)
- Solid understanding of machine learning, deep learning, knowledge representation or dynamical systems
- Motivation for independent and innovative research, strong analytical thinking, and a collaborative mindset
- Proficiency in English (spoken and written); basic German language skills
Application
Please send your complete application (CV, cover letter, relevant certificates, publications or thesis if available, etc.) as a single PDF via email to:
Prof. Dr. Andreas Hotho
Chair of Data Science, Department of Computer Science
University of Würzburg
dmir-jobs@uni-wuerzburg.de
