Materials Scientist (Data Science/TEM)
Phoenix, AZ, United States
USD 100K-120K (estimate) Senior-level Full Time
Tasks
- Analyze interpret materials characterization data using data science and machine learning
- Automate and standardize data collection processing and reporting
- Build algorithms and software to automate TEM data collection and processing
- Build validate and document predictive and classification models
- Collaborate with scientists and engineers to translate questions into data driven solutions
- Collect S TEM EDS EELS data and prepare reports
- Communicate analytical results to technical and non technical stakeholders
- Contribute to continuous improvement of analytical capabilities and data infrastructure
- Develop and maintain data analysis workflows and pipelines
- Develop and tune TEM automation on TEM microscopes
- Develop new TEM technologies to meet customer demands
- Perform image processing for 2D and 3D datasets
- Perform statistical analysis feature extraction and exploratory data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
4D-STEM | Computer Vision | Data Analysis | Data Pipelines | Data Visualization | Deep learning | EDS | EELS | Electron energy loss spectroscopy | Electron microscopy | Energy-Dispersive X-ray Spectroscopy | Energy-loss spectroscopy | Exploratory Data Analysis | Feature extraction | Image Processing | Machine Learning | NumPy | Pandas | Photoelectron spectroscopy | PyTorch | Python | RBS | Rutherford Backscattering Spectrometry | SEM | Scanning electron microscopy | SciPy | Scientific Data | Scientific Data Analysis | Scikit-learn | Segmentation | Series data | Signal Processing | Spectroscopy | Statistical Analysis | TEM | TensorFlow | Time Series | Time Series Data | Transmission Electron Microscopy | X-Ray | X-ray Spectroscopy | X-ray diffraction | X-ray photoelectron spectroscopy | XPS | XRD
Education
Roles
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