Materials Scientist, TEM & Machine Learning
Phoenix, AZ, United States
USD 100K-120K (estimate) Senior-level Full Time
Tasks
- Apply data science and machine learning to analyze materials characterization data
- Build algorithms to automate TEM data collection and processing
- Build and maintain data analysis workflows and pipelines
- Collaborate with scientists and engineers to translate experiments into data driven solutions
- Collect TEM SEM EDS XRD XPS and RBS data and prepare reports
- Communicate analytical results to technical and non technical stakeholders
- Conduct statistical analysis and exploratory data analysis
- Develop and tune TEM automation on TEM microscopes
- Develop predictive or classification models for materials characterization and failure analysis
- Perform image processing for 2D and 3D datasets
Perks/Benefits
Skills/Tech-stack
Classification modeling | Computer Vision | Data Analysis | Data Pipelines | Data Visualization | Deep learning | EDS | EELS | Electron energy loss spectroscopy | Electron microscopy | Energy dispersive spectroscopy | Energy-loss spectroscopy | Experiment tracking | Exploratory Data Analysis | Feature extraction | Image Processing | Image enhancement | Machine Learning | Model versioning | NumPy | Pandas | Photoelectron spectroscopy | Predictive Modeling | PyTorch | Python | RBS | Reproducibility | Rutherford Backscattering | SEM | Scanning electron microscopy | SciPy | Scikit-learn | Segmentation | Series data | Spectral Analysis | Statistical Analysis | TEM | TensorFlow | Time Series | Time Series Data | Transmission Electron Microscopy | X-Ray | X-ray diffraction | X-ray photoelectron spectroscopy | XPS | XRD
Education
Roles
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