Apologies for cross-posting. See below announcement for one-year postdoc position related to our Unbias project http://unbias.wp.horizon.ac.uk/ Dr. Ansgar Koene Senior Research Fellow: UnBias, CaSMa & Horizon Policy Impact Horizon Digital Economy Research Institute University of Nottingham Working group chair for IEEE Standard on Algorithm Bias Considerations http://unbias.wp.horizon.ac.uk/ http://casma.wp.horizon.ac.uk/ http://www.horizon.ac.uk/ https://standards.ieee.org/develop/project/7003.html https://sites.google.com/site/arkoene/ ________________________________ From: Michael Rovatsos <mrovatso@inf.ed.ac.uk> Sent: Thursday, July 6, 2017 4:48 PM Subject: [unbias] One-year postdoc in UnBias project available (Edinburgh) Dear Colleague we have a one-year postdoc position to fill in Edinburgh on one of my research projects - I'd be very grateful if you could distribute the announcement below among your colleagues and junior staff.
An opening for a postdoctoral RA position has become available on our EPSRC-funded UnBias project (http://unbias.wp.horizon.ac.uk/) from 1st September 2017 for 12 months full time (possibly with a slightly earlier part-time start, where appropriate). See https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobsp... for details, the application deadline is *** 27th July 2017 ***.
UnBias investigates problems surrounding algorithmic bias in data-driven systems (think biased search engines, recommender systems, fake news, etc) together with colleagues from Nottingham and Oxford. The project involves a heavy human factors and policy making element, which the other partners take care of, while in Edinburgh we focus on developing fair algorithms, i.e. on the technical side of things. So far, we have mainly worked on fairness in resource allocation, which has mostly involved game-theoretic multiagent systems techniques, but depending on the profile of the person who will replace the current Edinburgh postdoc, over the next year we could also take a slightly different direction - e.g. prediction fairness in machine learning algorithms, or more content-based notions of fairness, e.g. representing different opinions accurately in debates, which might involve more NLP work. For informal enquiries please feel free to contact Michael Rovatsos (mrovatso@inf.ed.ac.uk). <<< Many thanks for your help with this! Best Michael ... .. . .. ... .... ..... .... ... .. . .. ... .. . .. .. michael rovatsos senior lecturer school of informatics the university of edinburgh informatics forum 2.12a mrovatso@inf.ed.ac.uk +44 131 6513263 homepages.inf.ed.ac.uk/mrovatso . .. ... .... ..... .... ... .. . .. ... .... ..... .... . -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. _______________________________________________ unbias mailing list unbias@horizon.ac.uk http://lists.cs.nott.ac.uk/mailman/listinfo/unbias This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.