Lead Scientist - Computational Materials Scientist – High Temperature Metallic Materials
Tasks
- Apply discrete dislocation dynamics
- Apply molecular dynamics
- Build machine learning workflows for materials design
- Collaborate with experimental processing and design teams
- Contribute to publications and patents
- Create digital workflows and tools
- Define technical problem statements
- Develop crystal plasticity and micromechanics models
- Develop data-driven models
- Develop mesoscale and atomic scale models
- Develop phase field and diffusion models
- Develop physics-based models
- Develop thermodynamic and kinetic models
- Interpret experimental results
- Model microstructural evolution
- Optimize alloy design
- Optimize processing parameters
- Plan and validate experiments
- Predict fatigue and creep life
- Predict mechanical behavior
- Present research internally and externally
- Refine models with experimental feedback
- Translate model insights to design rules
Perks/Benefits
Skills/Tech-stack
Alloy design | CALPHAD | Creep Life Prediction | Crystal plasticity | Diffusion modeling | Digital workflow | Digital workflow design | Discrete Dislocation Dynamics | Dislocation dynamics | Fatigue Life Prediction | Life prediction | Machine Learning | Materials processing | Micromechanics | Microstructural analysis | Microstructure Property Correlation | Molecular Dynamics | Phase Field Modeling | Phase-field | Physical metallurgy | Thermodynamics | Workflow design
Education
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