Postdoctoral Researcher – Computational Electron Microscopy and M...
Core
Develop computational methods and deep learning models for electron microscopy data to identify patterns and improve understanding of materials and processes.
Role type
Postdoctoral Researcher (Computational Electron Microscopy & Machine Learning)
Builds
Deep learning models for microscopy data (real-space imaging, 4D-STEM, in-situ time series) and quantitative analysis pipelines.
Domain
Materials Science / Electron Microscopy / Machine Learning
Deliverable
production ML models
Required skills
Electron microscopy expertise (image formation, diffraction, 4D-STEM, in-situ/operando, HRTEM), Python programming, Deep learning frameworks (PyTorch), Physics-based simulation (multislice, Bloch-wave), Data analysis, Scientific writing
Preferred skills
Developing new methods rather than applying existing ones, Experience with experimental/simulated dataset construction
Technologies
Python, PyTorch, Multislice, Bloch-wave methods
Responsibilities
Develop and validate deep learning models for microscopy data, Identify open questions in microscopy requiring new methods, Conduct simulation studies connecting experiment and theory, Publish in microscopy and ML venues, Co-supervise students, Contribute to proposal writing
Seniority
Postdoctoral Researcher (Early Career IC)
