We have a open postdoc positions! If you are interested or curious, email Dr. Shafto a CV and a short description of your background and interests.

Prospective Postdocs

Are there open slots for postdocs?

Postdoc slots do open up. The schedule is often irregular and the hiring timeline is sometimes short. If you are interested, send an email to Dr. Shafto detailing your experience and why you are interested in joining the lab.

What kinds of background and skills are desirable?

The ideal background and skills vary by projects. In general, having a technical background, ideally including strong mathematics and programming experience, is desirable. However, there are instances where strong domain knowledge or expertise in human behavioral experiments have been seen as a stronger asset in a candidate. Most importantly, we are interested in people who are interested and excited to do great work.

Prospective Grad Students

Is Dr. Shafto accepting grad student applicants?

Yes.

In what department/program?

In Mathematics and Computer Science, we offer a unique course of study combining coursework in pure mathematics paired with advanced research training in machine learning and modern AI. Apply through the Mathematical Science PhD program at Rutgers Newark. Other routes may be possible, for example, through the graduate programs in Computer Science (at New Brunswick), Psychology, Business, and the Center for Molecular and Behavioral Neuroscience at Rutgers Newark. Contact Dr. Shafto before applying!

What kind of research goes on in the lab?

See papers or reach out directly for up-to-date information.

Prospective Research Assistants

Are you interested in getting involved with research? Our lab is currently seeking undergraduate-, post-baccalaureate- and masters-level Research Assistants for projects that span mathematics, computer science, and cognitive sciences as well as education and development.

What types of positions are available?

In the CoDaS Lab, we are interested in people who are interested in computational models of learning. This may be from a computer science, mathematics, physics, psychological or educational perspective.

What is the time commitment?

This varies by project, but in general, we expect a sizeable comittment from undergraduates (roughly 10 hours per week). We have found that this level of committment is necessary to ensure that students make adequate progress toward both their own learning and the project goals.

Are there any prerequisites to working in your lab?

We do not have any prerequisites to working in our lab, although experience with computer programming is important.

Also, does Dr. Shafto teach any courses?

Graduate level Introduction to Data Science and Statistics and Machine Learning are offered in the fall and spring, respectively.