Connectionists: Postdoc in Cognitive Robotics and Human Robot Interaction, University of Manchester UK

[Angelo Cangelosi]

Postdoctoral Research Associate in Cognitive Robotics and Human Robot Interaction
University of Manchester, UK




A post-doctoral research fellow is required for a period of up to 3 year to work on the H2020 collaborative project “MoveCare: Multiple-actors Virtual Empathic Caregiver for the Elder” (www.movecare-project.eu<http://www.movecare-project.eu/>) and the new project “THRIVE++: Trust in Human-Robot Interaction Via Embodiment with Theory of Mind” (www.thrive-project.org<http://www.thrive-project.org/>).

This candidate will carry out research investigate the role of multimodal interaction and theory of mind in human robot interaction and the acceptability and trust of robot companions. A PhD in Computer science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics research skills. Knowledge of human-robot interaction research with the elderly is a desirable skill.

The research fellow will be working collaboratively as part of the cognitive robotics research lab at the School of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required.

The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit:

http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/

Enquiries about vacancy shortlisting and interviews:

Name: Angelo Cangelosi Email: angelo.cangelosi at manchester.ac.uk<mailto:angelo.cangelosi at manchester.ac.uk>

General enquiries:

Email: hrservices at manchester.ac.uk<mailto:hrservices at manchester.ac.uk>


Deadline 18 February 2019. To apply, follow: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16665


______________________
Angelos Cangelosi
Professor of Machine Learning and Robotics
University of Manchester, UK
angelo.cangelosi at manchester.ac.uk<mailto:angelo.cangelosi at manchester.ac.uk>
https://www.research.manchester.ac.uk/portal/angelo.cangelosi.html







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