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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Apologies for cross postings<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">*** RCUK Innovation Fellowship ***<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Institute for Analytics and Data Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">University of Essex, UK<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">3 year post, £39,993-£41,212 per annum<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> </span></b><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Closing Date: 15 December 2017 <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">The University of Essex (UK) is currently advertising an RCUK Innovation Fellowship (3 years) in the Institute for Analytics and Data Science (IADS) on “Discovering Individual
and Social Preferences through Inverse Reinforcement Learning”. Appointment to this post will be made as Research Fellow. The main duties of the post include to undertake foundational and applied Research and high quality independent and collaborative research
within the scope of the RCUK Innovation Fellowship that meets REF standards. Other duties include to contribute to Public Engagement & Impact such as community engagement and interactions with other public sector bodies, business and the third sector. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">The candidate will be required to comply with the conditions of the RCUK Fellowship (for more details see job specification).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Applicants are also required to have a PhD in Quantitative Social Science, Computer Science, Artificial Intelligence, Data Science, Statistics, or related discipline, or related
professional experience. Candidates should have a maximum of four years academic research experience following the submission of their PhD, or be of equivalent professional standing.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Particular research areas of interest include but are not limited to:<o:p></o:p></span></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">quantitative methods;<o:p></o:p></span></li><li class="MsoNormal" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">advanced statistical methods;<o:p></o:p></span></li><li class="MsoNormal" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">machine learning;<o:p></o:p></span></li><li class="MsoNormal" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">reinforcement learning;<o:p></o:p></span></li><li class="MsoNormal" style="margin-left:0in;mso-list:l1 level1 lfo3"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">social preference and social choice.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">For more information and to make an application, please see here:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><a href="https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=794034FJJf&WVID=9918109NEm&LANG=USA">https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=794034FJJf&WVID=9918109NEm&LANG=USA</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">The job specification can be found here:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"><a href="https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01033_Jobpack.pdf">https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01033_Jobpack.pdf</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Informal enquiries can be directed to Prof Maria Fasli (<a href="mailto:mfasli@essex.ac.uk">mfasli@essex.ac.uk</a>).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Professor Maria Fasli PhD, NTF, FHEA<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">UNESCO Chair in Analytics and Data Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">Director, Institute for Analytics and Data Science<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">University of Essex<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">T +44 (0)1206 872327<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif">E <a href="mailto:mfasli@essex.ac.uk">mfasli@essex.ac.uk</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Arial",sans-serif"> <o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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