Machine Learning — PhD Intern (Variable Circuit, Place-and-Route, and Layout Representations)
Keysight · Posted Nov 9, 2026
- Barcelona, Barcelona, Spain
- Internship · Intern
PhD intern to explore machine learning representations for variable electronic designs, developing graph-based and structured representations to support learning across design spaces.
Responsibilities
- Design and prototype graph-based and structured data encodings for variable electronic designs
- Represent design attributes such as component or block identity, type, parameters, connectivity, placement, routing, geometry, hierarchy, and relevant constraints
- Analyze existing fixed-structure assumptions in data pipelines and identify where they limit generalization to new circuits, layouts, or routing patterns
- Develop mapping and validation utilities between source design data and model-ready inputs
- Integrate representation prototypes with graph learning, surrogate modeling, and design optimization workflows
Requirements
- PhD in electrical engineering, computer engineering, computer science, applied mathematics, machine learning, computational science, or a related technical field
- Nice to have: PyTorch
- Nice to have: LibTorch
- Nice to have: graph learning frameworks
- Nice to have: scientific computing