Doctoral Thesis: Data Science
vor 7 Monaten
In your new role you will:
- **Actively participating in funded projects **up to address actual problems
- **Exploring EdgeAI Technologies and Application Requirements **for Semiconductor Industry
- **Collaborating with domain experts **to define applicable Use Cases in your research and develop Use Case related EdgeAI Frameworks
- **Research in the field of machine learning/statistical methods **for data mining and natural language processing
- **Analyze test results **and refinement of the methods (new data/architectures)
- **Verify, validate, and test the developed framework **(demonstrator) for the Infineon-specific Use Case
- **Support the team with reports **for documentation and integration of the framework in the software infrastructure
You are best equipped for this task if you have:
- **A university degree **in **Computer Science, Electrical Engineering, or similar **, with a focus on Data Sciences, Artificial Intelligence, Causality and Deep Learning
- Knowledge of **modern NLP approaches**:
- Understanding of **database principles **for data extraction and analysis
- Experience with the development of **deep learning models with Pytorch or TensorFlow. **Knowledge of MLFlow, and general MLOps is a plus
- Understanding of **cloud infrastructures **, like OpenShift, and containers, is a plus
- **Self-motivated **and **proactive **working style
- **Fluent English **skills (German as a davantage)
More than 5.000 people work at five different sites in Austria.
**Driving decarbonization and digitalization. Together.**
The **Frontend (FE **) cluster offers a broad range of manufacturing competence specialized in high-quality logic products. The portfolio represents Power, Bipolar, Sensor, Passive and Diode technologies as well as CMOS, RF-CMOS and embedded flash technologies. The manufacturing sites in Dresden, Kulim, Regensburg and Villach are committed to Operational Excellence with strong customer focus.
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