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General Information
| Full Name | Jan Schützke |
| Date of Birth | 1st August 1994 |
| Languages | English, German |
Education
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2019-2024 Dr.-Ing.
Karlsruhe Institute of Technology, Germany - Development of methods for automated XRD analysis
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2017-2019 Master of Science, Mechanical Engineering
Karlsruhe Institute of Technology, Germany - Major in Robotics and Information Technology
- Thesis title - "Evaluation of Machine Learning Approaches for Crystalline Phase Identification”
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2013-2017 Bachelor of Science, Mechanical Engineering
Karlsruhe Institute of Technology, Germany - Mechatronics and Data Analytics
- Thesis title - “Design and Development of a Concept for Networked Monitoring of Parameters in the Production of Capacitive Pressure Sensors by Use of Data-Mining”
Experience
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2019-2023 Researcher
Karlsruhe Institute of Technology, Germany - Cooperation with Bruker AXS
- Simulation of XRD patterns
- Kubernetes & Docker to apply trained models
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2022 Visiting Researcher
Lawrence Berkeley National Laboratory, Berkeley, California, US - Exchange concerning development of automated XRD analysis
- Identification of DRX samples from XRD patterns
Skills
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Programming
- Python
- SQL
- MATLAB
- Java
- C++
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Frameworks
- Tensorflow
- Keras
- Scikit-learn
- pyTorch
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Development
- VS Code
- Jupyter Notebook
- Docker
- Git
- CI/CD
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Data manipulation
- Numpy
- Pandas
- Scipy
- OpenCV
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Computing
- Linux
- ssh
- Azure
- Kubernetes