Doctoral Thesis: Data Science
vor 2 Wochen
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
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Collaborating with domain experts to define applicable Use Cases in your research and develop Use Case related EdgeAI Frameworks
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Research in the field of machine learning/statistical methods for data mining and natural language processing
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Analyze test results and refinement of the methods (new data/architectures)
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Verify, validate, and test the developed framework (demonstrator) for the Infineon-specific Use Case
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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
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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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