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Siemens Smart Infrastructure intelligently connects energy systems, buildings and industries. We help our customers to thrive, communities to progress and support sustainable development to protect our planet for the next generation. Join our team of about 380 000 colleagues around the globe and help us creating environments that care.
The Building Automation System (BAS) is set-up in the last phase of the design and construction process in a construction project. The control logic implemented in the BAS has a significant impact on the overall energy demand of the building. During the different phases of the BAS project design, there is a strong need to exchange information regarding the control logic efficiently. Additionally, we need to verify the correct operation of the control logic based on inputs from these phases. Current tools for designing and configuring a BAS solution store the design information in specific formats. The goal is to enable a standardized model-based information exchange over the lifecycle of the BAS. Therefore, we need a structured definition of the control logic, the bindings defining the logical topology of all control actors, and additional information on inputs and outputs. A semantic model helps to describe domain knowledge on the control logic in BAS. Hence, at Siemens Smart Infrastructure (SI), we aim to make the BAS design process more efficient using ontology-based modeling of the control logic of a BAS.
Your new responsibilities
- Work with the BAS tool in close collaboration with application engineering specialists
- Contribute to the definition of semantic models to describe the control logic of BAS
- Apply machine learning algorithms to infer statistical relations between the input information and the output engineering configuration
- Improve our in-house developed building automation engineering tools
Your skills and experience
- Student or recent bachelor graduate in the field of Computer Science or similar
- Knowledge in Data Science, preferably Machine Learning and Semantic Modelling
- Problem-solving oriented, outcome-focused and pragmatically thinking
- Proficiency in English or good knowledge of German
- Start as per agreement
Who and where we are
Find out why Siemens is chosen every year as one of the most popular employers in Switzerland. There are plenty of reasons for this, not least the exciting and in-depth insights into practical work, flexible working models providing the ideal combination of study, work and leisure, relevant networking and a host of entry opportunities at home and abroad. Get a first impression of your new working environment and the people who could be your new work colleagues.
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Job ID: 109656
Organization: Smart Infrastructure
Experience Level: Student (Not Yet Graduated)
Job Type: Full-time