At the Institute of Data Science in Jena, we are working to make the data backbone for all of DLR’s areas of application (aviation, space, energy, transport, security) a reality. To this end, we conduct interdisciplinary research and method development with a focus on applications such as sustainable and circular processes, resilient supply chains, data-driven value chains and robust decision support. The methods developed in this way are put into practice in cooperation with other DLR institutes and external partners, whether as part of joint projects or through technology transfer activities.
What to expect
The department Data Analysis and Intelligence develops and applies methods that enable the analysis of complex and large datasets. To this end, the department leverages techniques from machine learning and causal inference, as well as domain-specific process knowledge.
The research group “Causal Inference” has the scientific objective to contribute to a data-driven understanding of complex dynamical systems. To this end, the group develops and applies methods and software from the fields of causal inference and statistical learning. In doing so, the group follows an application-driven approach. In addition to closely collaborating with the users of the developed methods, this means to identify requirements that arise in applications and to address these requirements by further method development. The group has a special focus on time series data, and it also works on quantum machine learning.
As part of the student role, you will carry out your work duties for up to 20 hours per week.
Your tasks
- Development of an interactive software for presentation purposes
- Review of research literature on causal inference and implementation of the corresponding concepts and algorithms
- Presentation of the results
- Code review and documentation
Your qualifications
- Currently studying computer science or a related subject
- Knowledge of the basic programming logic
- Basic knowledge in mathematics, in particular linear algebra
- Experience in any programming language and interest in Python
- Knowledge or interest in developing interactive software, for example using Plotly, iPyWidgets or similar tools
- Written and spoken English
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 6317) please contact:
Prof. Christian Thiel
Tel.: +49 3641 30960 128
