In HPI's Masters program, we are looking for students with both exceptional grades and experience in software development in order to drive projects with our industry partners. Prospective students should have a strong interest in working on applied computer science problems directly with our partners. This particular approach to project work supports students in building relationships with potential employers: many of our previous project student assignments have led to (international) internships and job offers. Project students are welcome to engage in any of the following activities:
- Real-Time Stream Processing The area of real-time data stream processing is becoming more important in the light of developments towards trends like Internet of Things (IoT). In that context, we aim to compare different systems and concepts, which can include research in the area of performance benchmarks. If you are interested in this topic or similar ones, please contact Guenter Hesse.
- Data-Driven Causal Inference Causal structure learning has the intention to estimate the underlying causal graphical model from observational data. In our research, we address open challenges in this field by improvements in both the application of statistical and probabilistic concepts, and the efficient implememtation of algorithms using modern hardware, e.g., GPUs. Our goal is to enable an utilization in a real world context. If you are interested in this topic, please contact Johannes Huegle or Christopher Hagedorn.
For more information about our ongoing projects, have a look at our projects website. We are able to compensate students on an individual basis depending on experience and the particular industry project they will be working on. Please contact Dr. Michael Perscheid for details.