Our paper “Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study” was accepted in the MDPI journal sensors within the special issue “sensor-based information for...
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.
We offer interesting student jobs in different categories (see below) ranging from short to long periods. For a complete list of latest jobs, please visit our wiki. For questions please contact Tobias Koopmann.
We run our own Kubernetes Cluster in order to run all our applications and research. In this area, we can offer a lot of tasks for enthusiastic students.
We offer different organisational and/or teaching tasks, starting for example with administering our web appearance to several teaching tasks regarding out lectures.
Since we are a computer science chair, most of our student tasks are programming-related. They distinguish in development tasks (e.g. website development) or research tasks (e.g. implementing neural network baselines for our current research).
Currently we offer no open Phd student jobs.