Scientist, Cfar, Ihpc
1 week ago
**Responsibilities**:
Conduct fundamental research on foundation models to understand their capabilities, such as optimization, approximation, and generalization
Publish impactful scientific results in top-tier machine learning and AI conferences or journals, such as NeurIPS, ICML, ICLR, AISTATS, AAAI, IJCAI, JMLR, and AoS, in collaboration with scientists at A*STAR IHPC
**Requirements**:
PhD degree in Computer Science, Mathematics, Statistics, or Computer Engineering
Research experience in machine learning or related areas
Strong mathematical background relevant to machine learning and deep learning, including areas such as optimization theory, statistical learning theory, stochastic differential equations, optimal transport, control theory, approximation theory, and geometry
Knowledge in at least one deep learning framework, such as PyTorch, TensorFlow, or JAX
Strong problem-solving and analytical skills
Excellent communication and presentation skills
**Type of Employment**: Full-Time
**Work Location**: Fusionopolis
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