**Job Description**
This PhD candidate position is part of the ERC project FoRECAST, focusing on developing theory and systems for challenging probabilistic and differentiable programming applications. The role involves contributing to the technological foundations for future machine learning, specifically concentrating on programming language implementation for high performance computing. The research combines knowledge from programming languages, machine learning, and scientific computing.
**Skills & Abilities**
• Expertise in Programming Languages, Machine Learning, and Scientific Computing.
• Ability to develop novel differential and probabilistic programming techniques.
• Strong analytical skills for identifying requirements for high-performance implementations.
• Proficiency in building state-of-the-art software implementations.
• Capability in mathematical proof and robust performance evaluation.
• Strong problem-solving skills for applying techniques to real-world challenges.
• Ability to work independently and collaboratively in a diverse team.
• Communication skills for teaching and public outreach.
**Qualifications**
Required Degree(s) in:
• Programming Languages
• Machine Learning
• Scientific Computing
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