Your tasks You support research, evaluation and practical testing of new monitoring and analysis methods for energy generation and district heating. You prepare operational and state data for analyses and model developments and explore different data and information sources. Together with the team, you develop data analysis and monitoring prototypes, such as Python, SQL, Power BI or comparable tools. You will participate in the development and testing of methods for early anomaly and error detection, state and degradation assessment as well as performance and efficiency analyses. You will explore how AI and data-based models can be used for technical analysis, forecasting and decision support. You compare new methodological approaches with respect to meaningfulness, data requirements, interpretability, robustness and practical feasibility. You develop demonstrators and prototypical solutions and help integrate them into monitoring, dashboards and existing workflows. You document and present procedures, results and findings in a comprehensible manner and support the professional exchange with internal and external partners. What awaits you Real technical applications at the interface of energy technology, data science and digitalization. Free space for methodological testing without losing the practical benefits from the view. Access to operating data, technical questions and the experience knowledge of the monitoring team within the permitted framework. The possibility of developing a permanently usable monitoring approach from a prototype. Cooperation with experts from plant operations, maintenance, engineering, data management, IT and analytics. Possible starting points for a later study or final work, depending on the topic and operational suitability.

You are immatricated:rStudent:in, preferably in one of the following disciplines: Data Science Information Computational Engineering Energy and Process Engineering Process engineering Electrical engineering Automation technology Mathematics and Physics Industrial engineering with technical or data analysis or a comparable subject. You are interested in not only considering new methods theoretically, but to test them practically on the basis of real technical questions. You have first programming experience, preferably with Python. Ideally, you have knowledge in each of the following areas: pandas, NumPy, SciPy or scikit-learn Time series analysis Statistical modelling Machine Learning Data visualisation SQL and databases Git or Azure DevOps Databricks or comparable analysis platforms Power BI OSIsoft or AVEVA PI System thermodynamic or physical modeling. You have a good mathematical-technical understanding and can critically question analysis results. You proceed methodically and document data base, assumptions, model logic, validation and limits of your results. You have the pleasure of working yourself on new topics, tools and technical processes. You can present complex facts in a comprehensible way and work with different disciplines. Very good knowledge of German in word and writing, at least c1, are required. Good knowledge of English is advantageous. Knowledge of power plant processes, energy plants or district heating systems are helpful, but no compelling prerequisite.

You have at least 6 months and can support us with at least 20 hours a week. Flexible design of your working day with the possibility to work in the home office Needed technical equipment will be provided to you Individual development and development of your professional network Improved access opportunities after completed studies Organic operating restaurant as well as free drinks (water, tea, coffee) and fruits at almost all locations Various offers on health, e.g. support by PME family service We are convinced that diversity contributes to making our company more powerful and attractive. Applications for people of any age, gender identity, sexual orientation or ethnic-cultural background are welcome. Disabled people are particularly taken into account with the same professional suitability. The security of the EMU and its employees is of fundamental importance. For this reason, pre-employment screening is part of the recruitment process. The scope of the review varies depending on the function and range of use. The screening is carried out by a third party, Signum Consulting GmbH, DISA. .