Doctoral projects in Data Science and its Applications
The Data Science and its Applications research group is recruiting PhD candidates to pursue their doctoral theses at RPTU Kaiserslautern, while contributing to projects at the DFKI.
A number of our job roles are also PhD positions, and certain master’s level student projects may be extended to PhD-level projects. Please visit our other pages to get an idea of our existing research areas.
A PhD scholarship typically comprises a monthly stipend of approximately €1700, supplemented by a €600 HiWi (research assistant) position.
For more information on earning a doctoral degree at RPTU, visit the university web site.
We welcome motivated candidates to propose their own projects, if they think they are aligned with our current topics. You can contact us ahead of your application.
Presently, the DSA group is actively recruiting research assistants, MSc, PhD students, postdocs to contribute to the CurATime project, developing AI/ML methods to assist analysis and scientific discovery within high-dimensional biomedical data. We seek enthusiastic candidates ready to start immediately.
Event modelling concerns the analysis of ordered, timestamped data, with discrete states (or patterns) occurring at a particular point or points in the sequence. Examples include detecting faults or cyber-attacks in industrial processes and computer networks, predicting risk of fractures or disease flares in patients, learning of socio-political events through analysis of text data and even modelling the rate of taxi demand and hospital admissions.
Survival/time-to-event analysis is an important field of Statistics concerned with understanding the distribution of events over time. Survival analysis presents a unique challenge as we are also interested in events that do not take place, which we refer to as ‘censoring’.