The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled “Integrating vision and action through selection history”.  It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences/people/faculty/joo-hyun-song

The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here:

Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12.  http://dx.doi.org/10.1016/j.neunet.2015.10.005

Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE@bham.ac.uk

Closing date: 24 July 2019                 

An on-line application can be submitted at the bottom of this page:

https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz=GMT%2B01%3A00&tzname=Europe%2FLondon

Main Duties/Responsibilities

• Undertake work within the specified research grant (ES/T002409/1):
• Extend CoRLEGO to model data collected by Professor Joo-Hyun Song
• Compare models using Bayesian methods
• Conduct behavioural experiments under guidance of Professor Joo-Hyun Song
• Disseminate research findings for publication, research seminars, etc.
• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
• Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator
• Contribute to public engagement activities
• Contribute to generating funding and writing bids 

Person Specification

Skills and Knowledge:

• Programming skills (preferably in MatLab), mathematical skills

Experience in at least three of the following fields:

• Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields

Generic skills:

• Ability to communicate complex information clearly
• Ability to work in an interdisciplinary project
• Understanding of and ability to contribute to broader management/administration processes

Qualifications

• PhD preferably in electrical engineering, computer science, physics or mathematics