PhDApplications Closed

Max Garagnani

Goldsmiths, University of London, Lewisham Way, New Cross, London SE14 6NW, UK

Apply by Feb 15, 2024

Application deadline

Feb 15, 2024

Job

Job location

Max Garagnani

Geocoding

Goldsmiths, University of London, Lewisham Way, New Cross, London SE14 6NW, UK

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Feb 15, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Max Garagnani

Geocoding

Goldsmiths, University of London, Lewisham Way, New Cross, London SE14 6NW, UK

Geocoding in progress.

Source: legacy

Map

Job Description

The project involves implementing a brain-realistic neurocomputational model able to exhibit the spontaneous emergence of cognitive function from a uniform neural substrate, as a result of unsupervised, biologically realistic learning. Specifically, it will focus on modelling the emergence of unexpected (i.e., non stimulus-driven) action decisions using neo-Hebbian reinforcement learning. The final deliverable will be an artificial brain-like cognitive architecture able to learn to act as humans do when driven by intrinsic motivation and spontaneous, exploratory behaviour.

Requirements

Applicants should hold an Honour's degree in Computer Science or related fields (Mathematics
Engineering
Physics
etc.)
or have completed (or being in the process of completing) a Master’s degree in a relevant discipline
such as Computational / Cognitive Neuroscience
Cognitive Robotics
Artificial Intelligence
Data Science
or similar. Advanced programming skills (in one or more of the programming languages Python
Java
C/C++) are essential. Knowledge of cognitive neuroscience and/or brain mechanisms of dopamine-modulated learning would be a plus. Applicants must possess excellent written and spoken communication skills in English and be able to demonstrate a strong motivation to conduct research.

Job