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Data Science Chair

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About Us

The Data Science Chair (formerly DMIR Research Group) is a highly interdisciplinary group of researchers led by Prof. Andreas Hotho. We are active in machine learning research with applications in multiple domains, namely environmental sensing, natural language processing, recommendation, semantic web and fraud detection.

News

Digital Summit Bavaria: Human-Centered AI and XR HUB Würzburg as guests of State Minister Judith Gerlach

Carolin Wienrich, Marc Latoschik, and Andreas Hotho visited the Bavarian Digital Summit. In the evening, they were invited to the reception of State Minister Judith Gerlach.

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The MAGNET4Cardiac7T project will be funded.

The final decision is out! The MAGNET4Cardiac7T project will be funded. The official start is on the 01.12.2022. Within the project a method for modelling the distribution of electromagnetic fields in a human thorax while using a MRT-Scanner will be developed.

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Our paper "ConvMOS: climate model output statistics with deep learning" is available in the "Data Mining and Knowledge Discovery" journal

In this paper by M. Steininger et al., deep learning helps to improve climate models by post-processing their outputs.

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Our paper "One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium" has been accepted at CHR 2022

In this paper, we combine NLP with Graph Learning to advance computational literary studies - using Tolkien's Legendarium as a case study.

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Lectures

Our lectures and seminars cover fundamental topics like databases and algorithms as well as more specific methods like natural language processing, machine learning, information retrieval.

An overview can be found here.

Theses and Practica

We offer various topics for theses and practica on all our research topics. As a BA/MA student you will have access to the CAIDAS cluster to do your research.

Find your thesis topic here!

Job Offerings

We're always looking for help, whether with research related topics, teaching or administration and offer work for variable amounts of hours. You'll also gain access to the CAIDAS cluster for your work.

For more information, check out our job offers!