Are you a recent Ph.D. graduate with a background in statistics, computer science, mathematics, or a related field? Are you interested in pursuing a career in research at the intersection of statistics and machine learning? If yes, then you might be interested in this exciting scholarship opportunity.

About the Scholarship

This scholarship provides an opportunity for a postdoctoral researcher to work under the supervision of Prof. Bryon Aragam, a renowned researcher in the field of statistics and machine learning. The research agenda will focus on exploring new frontiers in the field and will provide the scholar with a platform to showcase their skills and knowledge.

The ideal candidate should have a strong background in at least one of the following areas: latent variable models, deep generative models, causal inference, nonparametric statistics, learning theory, or graphical models. This will enable the scholar to contribute significantly to the research agenda and contribute to the advancement of the field.

Available Level of Study

This scholarship is open to recent Ph.D. graduates (or all-but-dissertation) in statistics, computer science, mathematics, or a related area. The candidate should have a strong academic record and demonstrate a passion for research in the field of statistics and machine learning.

How to Apply

The details of the application process can be found at the following link: https://www.chicagobooth.edu/-/media/faculty/research-professional-program/job-ads/2022-23/principal_researcher_aragam_announcement_2022.pdf. The application should include a CV, a statement of research interests, and at least two letters of recommendation.

Additional Information

The candidate should be proficient in programming in Python or R and should have strong communication and interpersonal skills. This scholarship provides a unique opportunity for a postdoctoral researcher to gain valuable exposure and training in a cutting-edge research area and to contribute to the advancement of the field of statistics and machine learning.

Conclusion

This scholarship provides a unique opportunity for a recent Ph.D. graduate to launch their research career in the field of statistics and machine learning. The scholar will have the opportunity to work with a renowned researcher and contribute to the advancement of the field. If you are interested in this exciting opportunity, don't miss this chance and apply today!