I am not looking for interns at the moment.
Note: I DO NOT hire unpaid interns or online interns or "remote" interns.
If you would like to apply, you should send me a copy of your CV, along with your GPA. You should also enclose a copy of your academic transcript that shows your subject-wise grades. You can possibly mention broad areas of interest that you have within the confines of (i) integer programming (ii) algorithmic game theory (iii) computational game theory. Given the number of emails I get from people wanting to work on machine learning, I want to explicitly mention that traditional machine learning is NOT a part of the above.
Depending on availability and overlap of interests, we can decide the logistics of your arrival to Mohali, and we can start working on a problem. If you are emailing me after reading and understanding the above, mention "Robert Jeroslow" in the subject line of the email.
Note: I have a filter on my inbox that automatically deletes emails that are asking for internships, but not having the words "Robert Jeroslow" in the subject line.
I am not looking for RAs or Post-doctoral fellows at the moment.
I am always on the look out for RAs and Post Doctoral Fellows. These positions are paid competitively, and require you to be physically present in ISB (Mohali Campus) for at least 1 year, and possibly, as long as 3 years, given good performance.
You can be an RA or a Postdoc either on a project available with me or you can suggest a project.
Approximation algorithms in Game Theory. The project involves development of algorithms with provable approximation guarantee, running in polynomial time for (i) simultaneous games and (ii) bilevel programs. If this area is of interest to you, email me with a broad set of papers you have done, and any sub area within this problem that you want to explore.
Distributionally Robust bilevel programs. Distributionally robust optimization has provided good insights and results on how data can be used to estimate a distribution of randomness, with possible errors, and could then be used to make decisions. These ideas, while have started getting implemented in the context of bilevel programs, there are many results that are waiting to be explored and applied to. If this area is of interest to you, email me with a broad set of papers you have read and understood, and any sub area within this problem that you want to explore.
Besides the available project, you are also encouraged to suggest projects of your choice, within the confines of (i) integer programming (ii) algorithmic game theory (iii) computational game theory. Given the number of emails I get from people wanting to work on machine learning, I want to explicitly mention that traditional machine learning is NOT a part of the above.
If this is the case, you have to clearly mention the scope of the problem you have chosen, and possibly should have performed a preliminary literature review too. This review should much deeper than a search on Google Scholar. You should understand and know the state-of-the art results in this area. You should mention the preliminary analysis you have done in the email, and show that the problem you have started on is new and novel.
Here are a few things to include in the application.
Attach a detailed CV which has the following details:
Your current affiliation
All papers that you have published - in journals and in conferences - with DOI information
Title and abstract of any working and unfinished papers you want to share
All the past academic degrees earned
If you are applying for a post-doctoral fellowship, mention the name of your PhD advisor and a link to their webpage
All past job experience you have
Any online MOOC-based courses you have taken, with the link to the MOOC showing the syllabus
Mention the period of time you are available to work - From which month/year to which month/year
Your aspirations after completing the RAship or PDFship.