[Neuroinfo] Two Post-doctoral Positions in Machine Learning at UNSW-Canberra, Australia

[Hussein Abbass]

Two post-doctoral positions in Machine Learning are available at The Trusted Autonomy Group, University of New South Wales, Canberra Campus, Australia.

Project 1 (1-year extendable to 3 years): The successful candidate will work with a multi-disciplinary research team on an Australian Research Council funded project to design new deep learning and (deep) reinforcement learning algorithms to learn human cognitive indicators for closed-loop trusted human-simulation interaction tasks.

Project 2 (1-year extendable to 2 years): The successful candidate will work with a multi-disciplinary research team on a Defence Science and Technology Group funded project to design new machine learning techniques for cognitive activity recognition and automatic task analysis for closed-loop trusted human-machine interaction tasks.

Positions will close 12 midnight 23 April 2017 (Australian Easter Time). The selection process will start immediately after the closing date and the successful candidates are expected to start July/August 2017 or by negotiation.

For information on how to apply, visit

Project 1: https://www.unsw.adfa.edu.au/research-associate-arc
Project 2: https://www.unsw.adfa.edu.au/post-doctoral-fellow-0

Applicants must address every selection criterion with evidences.

Inquiries should be directed to Prof. Hussein Abbass at both h.abbass at adfa.edu.au and hussein.abbass at gmail.com

Kind regards,
Hussein

Prof. Hussein Abbass (FORS, FACS, FAIM, MHFES) | School of Engineering and Information Technology | University of New South Wales - Canberra at the Australian Defence Force Academy Campus | Canberra, ACT 2600, Australia | Web: http://www.husseinabbass.net/|<http://www.husseinabbass.net/%7C> Tel:+61-2-62688158<tel:%2B61-2-62688158> | Fax: +61-2-62688276<tel:%2B61-2-62688276> | Twitter: @HusseinAbbassOz | LinkedIn: www.linkedin.com/in/HusseinAbbassOz
Vice-President Technical Activities (2016-2017) - IEEE Computational Intelligence Society
National President - Australian Society for Operations Research
Associate Editor: IEEE Transactions on Evolutionary Computation; IEEE Transactions on Cognitive and Developmental Systems; IEEE Transactions on Cybernetics
Read for Free my Recent Open Access Papers

Abbass H.A., Petraki E., Merrick K., Harvey J., and Barlow M. (2016) Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges, Cognitive Computation, 8(3), 385-408. 10. 1007/s12559-015-9365-5. Free Download from http://rd.springer.com/article/10.1007/s12559-015-9365-5

Abbass H.A., Leu G., and Merrick K. (2016) A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, IEEE Access, 4, 2808 - 2830, doi:10.1109/ACCESS.2016.2571058.  Free Download from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7480763

Wang S.L., Shafi, K., Foo, N.T., Lokan C., and Abbass H.A. (2017) Contrasting Human and Computational Intelligence-Based Autonomous Behaviours in a Blue-Red Simulation Environment, IEEE Tranasctions on Emerging Topics in Computational Intelligence, Accepted to Appear. Free Download  from http://ieeexplore.ieee.org/document/7820081/

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