Doctoral Thesis: Data Science

vor 2 Wochen


Villach, Kärnten, Österreich Infineon Technologies Vollzeit

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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