Study Development Computationally
We have a Postdoctoral position available in an ongoing collaborative project on Machine Commonsense Reasoning, focusing on human common sense and core knowledge in early development. We are looking to fill this position in Early Fall 2020. The project involves a collaboration between Harvard, MIT, IBM, and Stanford. This position will primarily be supervised by Drs. Tomer Ullman and Elizabeth Spelke at Harvard, as well as Josh Tenenbaum at MIT.
This funded position will include building models of cognitive development related to intuitive physics, intuitive psychology, and theory acquisition. We are particularly interested in candidates with an expertise in computational cognitive modeling, or research in cognitive development, with an interest in strengthening both.
Postdocs will have an opportunity to lead projects as well as interact with a diverse group of experts, as well as computational resources, online testing, and administrative support.
Submit an application and CV to John Muchovej, with the subject MCS Postdoc. Reviews of applications will begin immediately and continue until the position is filled.
Graduate Students, Postdocs, & Undergrads
We’re currently looking for students and postdocs. If you have an interest in computationally characterizing cognition, understanding the child’s developing mind, or building human-level artificial intelligence that can perform common-sense reasoning, reach out to us.
Prospective Postdocs: reach out using the form below, or email us here.
Prospective PhDs: apply through Harvard Psychology here. Students with a background in computer science, math, physics and related fields are encouraged to apply.
Undergrads & M.Eng.: reach out to us using the form below, or email us here.
The Computation, Cognition, and Development Lab values diversity of all kinds. We strive to provide enriching opportunities for all trainees, including those from marginalized and historically disadvantaged backgrounds. We are committed to increasing the representation of trainees from diverse backgrounds and ensuring that our field represents the values, perspectives, and experiences of a wider range of students and trainees. As such, we welcome and encourage applications from trainees who identify as members of marginalized or historically disadvantaged groups and work to provide a training environment that supports the needs of all students. We are committed to fostering a safe and supportive community in which all members are able to contribute fully regardless of age, gender, race, ethnicity, national origin, religion, gender identity and expression, sexual orientation, disability, or any other applicable basis.
We expect all of our members to behave in ways that promote the supportive and productive exchange of ideas, treating all individuals equitably and with respect.