The at the is seeking a postdoctoral fellow to work with .
The postdoctoral fellow will work on problems at the intersection of information theory and machine learning, with topics potentially including the following:
- Information-theoretic limits for problems in statistical inference, learning, and optimization
- Algorithms and theory for high-dimensional inference and learning (e.g., graph learning, structured estimation)
- Sequential decision-making algorithms under uncertainty (e.g., black-box optimization, bandits, ranking)
- Machine learning methods applied to communication problems
Further information on Jonathan Scarlett's research interests can be found at https://www.comp.nus.edu.sg/~scarlett/.
The position is expected to last for at least 1 to 2 years. The candidate should have a PhD in a relevant area such as information theory, machine learning, statistics, or theoretical computer science, and a strong publication record. Experience in interdisciplinary aspects of information theory is beneficial but not essential.
The salary will be very competitive, and commensurate with the candidate's abilities and track record.
Applicants should submit a detailed CV and a short statement of research interests to Jonathan at [email protected]. Shortlisted applicants will later be asked to arrange for at least two reference letters to be sent to the same address.