Assistant Research Professor Position
Frequently Asked Questions
Do I need to secure potential Cornell mentors before I apply?
YES. We will only review applications that include at least one mentor (preferably 2) and their reference letters.
Do Cornell mentors need to be from a particular department on campus?
NO. Cornell mentors can be from any department that is relevant for the applicant’s research agenda and allow for collaboration in the advancement of data science applications and methodologies within the particular domain of research.
How do I secure a potential Cornell mentor?
Use your professional network to identify faculty that align with your research objectives and reach out to them via email letting them know you are applying for the position of Assistant Research Professor for the new Center for Data Science for Enterprise & Society and need to secure mentors who will act as a reference on their behalf, will be a part of the interview process should you be granted an interview, and will collaborate with you on your research objectives should you be awarded a position.
Can I be based in either the Ithaca, NY main Cornell campus or the NY, NY Cornell Tech campus?
You may either be 100% based at Cornell’s Ithaca, NY campus or you can SPLIT your time between campuses with at least 50% of your time based in Ithaca.
Is there flexibility on start dates?
YES. These are ongoing, rolling searches with positions starting in both the Fall and Spring semesters. Ideally, we would prefer a candidate start before the semesters begin. Fall semester starts approximately the week before Labor Day. Spring semester starts approximately the third week of January.
Are there specific domains of application in data science that are targeted for these positions?
The profile sought in these searches is to identify faculty who are simultaneously advancing the state of the art in an application domain while also contributing to the advancement of data science methodological foundations. The primary emphasis in these searches is in domains in which the source of data is generated by human activity (in contrast, for example, to biological phenomena such as genomic data).