PhD scholarship in Statistical and AI-Driven Modelling for Microstructural Engineering of Additive Manufacturing - DTU Construct
Tasks
- Analyze ex situ characterization data
- Analyze failure data from aggressive loading
- Analyze in situ monitoring data
- Build machine learning models
- Build statistical models
- Collaborate on experimental campaigns
- Deploy numerical simulations with calibrated multiphysics models
- Design experiments
- Establish correlations for microstructure evolution
- Generate synthetic data
- Identify causal pathways for microstructure evolution
- Integrate synthetic data with real data
- Perform data fusion and transformation
- Perform exploratory data analysis
- Quantify uncertainty
Perks/Benefits
Skills/Tech-stack
ABAQUS | ANSYS | Data Analysis | Data Fusion | Data Transformation | Exploratory Data Analysis | Fenics | Flow3D | HPC | JMatPro) | LAMMPS | Linux | Machine Learning | Micress | Multi-physics | Numerical Simulation | OpenFOAM | Python | Statistical modeling | Synthetic data | ThermoCalc | Uncertainty Quantification | XCT | XRD
Education
Roles
PhD researcher | Research Scientist | Researcher | Scientist
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