Develop numerical-analytical models of learning in our system
Connect our research to existing literature
Prove properties of algorithms and design experiments to validate results empirically
Leverage the expertise of other team members effectively
Write clean and well documented code
Help other team members to deliver on their goals

🎯 Requirements

Develop mathematical analysis methods (optimal transport, information geometry, optimization)
Analyze probabilistic graphical models, including factor graphs
Implement tractable density estimators (normalising flows, autoregressive density models, probabilistic circuits)
Translate equational reasoning into code
Advanced degree in Mathematics, Computer Science, or Statistics (PhD or equivalent)

🎁 Benefits

Fully remote team
CET timezone alignment
Opportunity to work on finance and science applications

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