Connectionists: Post-Doctoral Fellow - UNSW-Canberra - User-Task Co-adaptation

Hussein Abbass H.Abbass at adfa.edu.au
Tue Dec 8 23:51:05 EST 2015


School of Engineering and Information Technology
Post-Doctoral Fellow: Fixed term - 1 Year Extendable to 3 Years
Salary: Level A: $69,341 - $92,453 (+super)

Applications must be submitted online at: https://www.unsw.adfa.edu.au/online-application-form?id=15856

Advertisement on UNSW-Canberra Website: https://www.unsw.adfa.edu.au/career/academic-job-opportunities

Advertisement on Seek: http://www.seek.com.au/job/30024507?pos=1&type=standout&engineConfig=control&tier=no_tier&whereid=3000

Advertisement on UniJobs: http://www.unijobs.com.au/unsw-canberra-jobs/HY06/post-doctoral-fellow

The School of Engineering and Information Technology is currently seeking a suitably qualified and motivated Post-Doctoral Fellow to contribute to an Australian Research Council Discovery Project grant entitled "User-task co-adaptation for effective interactive simulation environments". The project is collaboration between the Trusted Autonomy Group at UNSW-Canberra and teams from the National University of Singapore and the Singapore Institute of Neurotechnology (SINAPSE). This is a fixed term position available initially for 12 months with an extension of 2 years, subject to performance indicators being met, to be negotiated and agreed on before the start of position.

The successful applicant will be able to demonstrate their ability to design and implement innovative machine learning and augmented cognition models that can learn user and task features dynamically from behaviours in a human-robot task. User data may include keyboard strokes, eye gaze, speech, gesture, and EEG signals. Task data normally takes the form of time-series task performance indicators and/or task complexity metrics.

Applicants should have a PhD in computer science, electrical engineering, cognitive science, or a relevant discipline; are expected to be self-motivated and independent researchers capable of working as part of a team; have a proven record of high quality conference and/or journal papers; and possess excellent communication skills. Skills in deep networks and/or multi-agent systems are desirable.

For application and position description information, please visit our website: https://www.unsw.adfa.edu.au/post-doctoral-fellow-1

For additional information about this position, please contact Prof. Hussein Abbass on (02) 6268 8158 or email h.abbass at adfa.edu.au<mailto:h.abbass at adfa.edu.au>

An applicant may be required to undergo pre-employment checks prior to appointment to this role.
________________________________
UNSW AUSTRALIA
UNSW CANBERRA AT THE AUSTRALIAN DEFENCE FORCE ACADEMY
PO Box 7916, CANBERRA BC 2610, Australia
Web: http://unsw.adfa.edu.au

CRICOS Provider no. 00098G

This message is intended for the addressee named and may contain confidential information. If you are not the intended recipient, please delete it and notify the sender. Views expressed in this message are those of the individual sender and are not necessarily the views of UNSW.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20151209/2fad3bfb/attachment.html>


More information about the Connectionists mailing list