I am looking for prospective Ph.D. students to work with me at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. In particular, I am looking for students who have a strong mathematical background. The programming skill is a plus but is not mandatory. Our research projects will be at the intersection of kernel methods, counterfactual inference, causal inference, and learning theory (see http://krikamol.org/ for more details on my research interest). Successful candidates will also have a chance to engage in international collaborative projects. Last but not least, the successful candidates should be able to demonstrate that their motivation for the Ph.D. application is driven by a desire to solve difficult real-world problems and to push the boundary of science.
*** How to Apply ***
The applicants should already hold or are soon expected to obtain a master or equivalent degree in related areas. The application package must be a single PDF file and include
1) Curriculum vitae (CV),
2) academic transcripts (only bachelor and master degrees),
3) up to two pages in A4 of research statement describing your research experience and your research interest,
4) Names, affiliations, and email addresses of at most 3 references who can provide recommendation letters for you. Note that we will contact them directly so please make sure that the email addresses are correct.
The application package must be sent directly to firstname.lastname@example.org. The application will be open until we find the right candidates.
If you are at ICML19 or CVPR19, I am happy to talk in person.
*** Max Planck Institute & Tübingen ***
Max Planck Institute for Intelligent Systems (https://www.is.mpg.de/) is a world-class center for foundational research in machine learning and related areas. It is located in Tübingen, Germany (https://www.tuebingen.de/en/)