<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><div class=""><div class=""><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div class=""><div class=""><div class="" style="margin: 0cm 0cm 0.0001pt;"><font face="Calibri" class="" style="font-size: 14px;"><font class=""><span lang="EN-US" class="">As part of its 50th Anniversary Lectureship Scheme Lancaster University is currently advertising a post in data visualisation. The Anniversary Lectureships are designed to identify academic leaders of the future and attract the highest calibre of applicants. Benefits include no direct teaching load for at least the first two years and the opportunity to play an influential role in Lancaster's new Data Science Institute. </span></font></font><span class="" style="font-family: Calibri; font-size: 14px;">For more detail on the 50th Anniversary Lectureship scheme see </span><span class="" style="font-family: Calibri; font-size: 14px;"><font color="#800080" class="" style="font-weight: bold;"><a href="http://www.lancaster.ac.uk/anniversary-lectureships" class="" target="_blank">www.lancaster.ac.uk/anniversary-lectureships</a></font></span><b class="" style="font-family: Calibri; font-size: 14px;">. </b><span class="" style="font-family: Calibri; font-size: 14px;">Details of the lectureships are below.</span></div><div class="" style="margin: 0cm 0cm 0.0001pt;"><br class=""></div><div class="" style="margin: 0cm 0cm 0.0001pt;"><br class=""></div></div></div></div></div></div><div class=""><div class=""><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div class=""><div class=""><div class="" style="margin: 0cm 0cm 0.0001pt;"><div class=""><h1 style="font-size: 1.8em; color: rgb(93, 93, 93); margin: 0px 0px 17px; font-weight: 100; line-height: 1.2em; font-family: Arial, Helvetica, sans-serif;" class="">Lectureship in Data Science x2</h1><h1 class="" style="font-size: 1.8em; color: rgb(93, 93, 93); margin: 0px 0px 17px; font-weight: 100; line-height: 1.2em; font-family: Arial, Helvetica, sans-serif;"><b style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">50th Anniversary Lectureships - Data Science</b><br style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class=""><b style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">Salary: </b><span style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);" class=""> £33,574 to £46,414 </span><br style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class=""><b style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">Closing Date: </b><span style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);" class=""> Sunday 18 September 2016</span><br style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class=""><b style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">Interview Date: </b><span style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);" class=""> To be confirmed </span><br style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class=""><b style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">Reference: </b><span style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);" class="">AL17R</span><br style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class=""><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">As part of a major investment in Data Science we are seeking applications from outstanding individuals for two new academic positions in Lancaster’s Data Science Institute. This is an opportunity to join a world-leading community of researchers at an exciting time. Data Science is a key area of growth for Lancaster University and is founded on historic strengths in Computer Science, Statistics and Operational Research coupled with an outstanding track record in multidisciplinary research.</p><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">The posts form part of strategic investment that has seen the University make a substantial commitment in the form of over 15 new data science related academic positions in the last 12 months.Together with more than 70 academics with existing expertise at Lancaster, these positions are a key part of the new world-class, multidisciplinary Data Science Institute that is starting to set the global standard for an interdisciplinary approach to contemporary data-driven research challenges in areas including data and society, health, and the environment. Appointments will help play a key role in shaping this exciting new initiative.</p><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">Applications are particularly encouraged from those who can make significant contributions in one of the following key areas of Data Science:</p><ul style="line-height: 1.4em; color: rgb(29, 29, 29); font-size: 13px; text-align: justify;" class=""><li class="">Data visualisation</li><li class="">Novel time series and on-line inference methods</li><li class="">Novel systems architectures for data science</li></ul><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">The posts are available at grades 7 and 8 (Lecturer, equivalent to Assistant Professor), according to the experience and research track-record of the successful candidates.</p><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">For an informal discussion about these posts, please contact Professor Nigel Davies (+44 1524 510327, email: <a href="mailto:n.a.davies@lancaster.ac.uk" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;" class="">n.a.davies@lancaster.ac.uk</a>) or Professor Idris Eckley (tel +44 1524 593066, email: <a href="mailto:i.eckley@lancaster.ac.uk" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;" class="">i.eckley@lancaster.ac.uk</a>).</p><p style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;" class="">For further information about Data Science activities at Lancaster please refer to <a href="http://www.lancaster.ac.uk/dsi" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;" class="">http://www.lancaster.ac.uk/dsi</a>.</p><div class=""><br class=""></div></h1><div class=""><br class=""></div></div></div></div></div></div></div></div></div></body></html>