The Leverhulme Centre for the Future of Intelligence (CFI) invites
applications for a Postdoctoral Research Associate to work on the project
The Major Transitions in the Evolution of Cognition, which spans multiple
disciplines including machine learning, cognitive science and philosophy.
The appointment will be for two years in the first instance, and is based
in Cambridge.

This is a new post within the project, The Major Transitions in the
Evolution of Cognition. This is a collaboration between the University of
Cambridge (Marta Halina), Macquarie University (Andrew Barron), and The
Australian National University (Colin Klein) that was launched in November
2020. This Research Associate will be based at the University of Cambridge,
working with Marta Halina and the Animal-AI Testbed team (led by Matthew
Crosby) as part of the Kinds of Intelligence programme at CFI.

The successful candidate will be required to adapt theories on major
transitions into algorithms or neural network models whose capacities can
be tested using the Animal-AI testbed. Animal-AI is a testbed and platform
for measuring cognitive skills and can be used to compare human, animal,
and AI capabilities. The Major Transitions project will collaborate with
ongoing work to improve Animal-AI and the candidate will be expected to
propose and facilitate the incorporation of new ideas for the testbed. The
candidate should have experience and interest in cognitively inspired deep
reinforcement learning or closely related approaches, especially those that
have the potential to be applied in 3D environments. It is also important
that the candidate can translate ideas between disciplines, taking ideas
from computational and comparative neuroscience and philosophy, and
implementing them in AI systems.

Full advertisement here: https://www.jobs.cam.ac.uk/job/30097/

Position type: Postdoctoral

Institution/company: Leverhulme Centre for the Future of Intelligence

Location: Cambridge

Application deadline: July 30, 2021

Link for more information: https://www.jobs.cam.ac.uk/job/30097/