PhD Position - Representation and Active Learning for Multi-Sc...
Core
Developing foundational machine learning methods for scientific imaging, specifically multi-scale representation learning and active learning strategies for electron microscopy data.
Role type
PhD researcher (research scientist)
Builds
Open-source research software and novel AI methods for materials discovery
Domain
Scientific machine learning, electron microscopy, materials science
Deliverable
research
Required skills
Machine learning, computer vision, representation learning, active learning, uncertainty modeling, Python, PyTorch or TensorFlow
Responsibilities
Developing multi-scale and multi-modal representation learning methods for scientific imaging data, Designing active learning and experimental design strategies, Building surrogate models connecting imaging-derived representations with physical properties, Collaborating with experimental partners to integrate decision-making algorithms, Publishing results in high-impact journals and conferences, Contributing to open-source research software
