Internship Opportunities

About Internship

Forecast science team in AWS AI Labs is looking for motivated research interns for summer 2022. The internship is minimum 12-14 weeks and requires PhD candidacy in relevant areas. The main goal of this internship is from developing scalable and reliable methods on time series data by leveraging ML and Stats knowledge to establishing theoretical foundations, ultimately transforming scientific discovery to a publication artifact at the end of internship.

About Forecast Science team in AWS AI Labs

Regarding to our team, please refer to our recent submissions and collected papers.

Quanlifications of Potential Candidates

Strong background in one or more of the following machine learning areas, but not limited to,

• explainable AI (XAI), causal inference,

• foundation model, multi-modal represetnation learning,

• robustness, distribution shift, OOD,

• reinforcement learning for decision making,

• Graph Neural Network (GNN) for spatial-temporal data,

• non-convex optimization,

preferably with publication records in top-tier ML/AI conferences, e.g., ICML, NeurIPS, ICLR, AISTATS, KDD.

Applications

If you are interested, feel free to send youngsuk@cs.stanford.edu an email attached with your C.V. and short introduction.

Misc.

If you are also interested in the areas of personalization, recommendation systems, time series anomaly, feel free to reach me out so that I can forward to the teams of interest.