Junior Research Scientist in the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) – Dr. Pierre Youssef
Tasks
- Analyze statistical learning theory and complexity
- Apply random matrix theory to modern AI systems
- Collaborate with faculty on research projects
- Conduct research in mathematical and algorithmic aspects of AI
- Develop theoretical foundations of data science and AI
- Explore automated theorem proving and formal methods
- Perform stochastic analysis of Markov processes
- Research reinforcement learning and bandit algorithms
- Study theoretical neural network and deep learning behavior
Perks/Benefits
- Educational assistance for dependents
- Educational subsidy for children
- Health and wellness services
- Housing subsidy
- Relocation allowance
Skills/Tech-stack
Automated theorem proving | Concentration Inequalities | Deep learning | Formal Methods | Formal verification | Functional Inequalities | Learning Theory | Machine Learning | Machine learning theory | Markov Chains | Mathematical Analysis | Matrix theory | Multi-Armed Bandits | Neural Networks | Probability theory | Random matrix theory | Reinforcement Learning | Statistical Learning | Statistical Learning Theory | Stochastic Processes | Theorem Proving
Education
Roles
Regions
Countries
States
Cities
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