<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=""><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 new positions in key challenge areas of ubicomp and data science. 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. In addition to a post in Pervasive Data Science (ubicomp) there are two positions directly associated with Lancaster’s Data Science Institute </span></font>covering novel systems architectures, on-line inference and visualisation. </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 in Pervasive Data Science and Data Science are below.</span></div><div class="" style="margin: 0cm 0cm 0.0001pt;"><span lang="EN-US" class="" style="font-size: 14px;"><font face="Calibri" class=""><br class=""></font></span></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;"><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;">Lectureship in the Foundation of Pervasive Data Science</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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">50th Anniversary Lectureships - Computing</b><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Salary: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> £33,574 to £46,414 </span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Closing Date: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> Sunday 18 September 2016</span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Interview Date: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> To be confirmed </span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Reference: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);">AL01R</span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Technology is increasingly enabling us to instrument our physical world with complex sensors and actuators – creating a future that encompasses the Internet of Things, smart cities/spaces and pervasive computing research agendas that are at the heart of an increasingly connected world that generates huge volumes of complex data. The emergence of such data-rich environments will require new approaches to all aspects of data science – from the techniques used to capture data through in-situ data analysis and the relationship between physical spaces and the cloud to interaction and presentation of data visualisations in physical environments. This is an exciting new area for data science and one that Lancaster is working to establish an international reputation in - building on its world-class pervasive computing heritage and new multidisciplinary Data Science Institute.</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">We are seeking an outstanding computer scientist who can help lead Lancaster’s efforts to establish the new field of pervasive data science. You should have a proven track-record in a relevant area of pervasive computing and/or data science and a desire to take a leading role in work at the intersection of these fields. We are particularly interested in candidates with experience of developing, deploying and trialling systems involving pervasive data science.</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">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. The post forms part of a strategic investment that has seen the University approve over 15 new data science related academic positions in the last 12 months. Together with over 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.</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">The successful candidate will be a strong and collegiate individual who is keen to bring their outstanding competences in pervasive computing and data science to play a key role in shaping this exciting new initiative bridging pervasive computing in the School of Computing and Communications and the Data Science Institute.</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">For an informal discussion about the post please contact Professors Nigel Davies (<a href="mailto:n.a.davies@lancaster.ac.uk" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">n.a.davies@lancaster.ac.uk</a>) or Adrian Friday (<a href="mailto:a.friday@lancaster.ac.uk" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">a.friday@lancaster.ac.uk</a>)</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">For further information about the School of Computing and Communications see <a href="http://www.scc.lancs.ac.uk/" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">http://www.scc.lancs.ac.uk</a> and for Data Science activities at Lancaster please refer to <a href="http://www.lancaster.ac.uk/dsi" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">http://www.lancaster.ac.uk/dsi</a>.</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">For more information on the Anniversary Lectureships visit <a href="http://www.lancaster.ac.uk/anniversary-lectureships" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">www.lancaster.ac.uk/anniversary-lectureships</a></p></h1><div class=""><br class=""></div><div class=""><br class=""></div><div class=""><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;">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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">50th Anniversary Lectureships - Data Science</b><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Salary: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> £33,574 to £46,414 </span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Closing Date: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> Sunday 18 September 2016</span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Interview Date: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);"> To be confirmed </span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><b class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Reference: </b><span class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify; background-color: rgb(255, 255, 255);">AL17R</span><br class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;"><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">Applications are particularly encouraged from those who can make significant contributions in one of the following key areas of Data Science:</p><ul class="" style="line-height: 1.4em; color: rgb(29, 29, 29); font-size: 13px; text-align: justify;"><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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">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 class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">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" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">n.a.davies@lancaster.ac.uk</a>) or Professor Idris Eckley (tel +44 1524 593066, email: <a href="mailto:i.eckley@lancaster.ac.uk" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">i.eckley@lancaster.ac.uk</a>).</p><p class="" style="color: rgb(29, 29, 29); font-size: 13px; line-height: 19.200000762939453px; text-align: justify;">For further information about Data Science activities at Lancaster please refer to <a href="http://www.lancaster.ac.uk/dsi" class="" style="color: rgb(212, 43, 30); text-decoration: none; font-weight: bold;">http://www.lancaster.ac.uk/dsi</a>.</p></h1></div></div></div></div></div></div></div><div class=""><br class=""></div></div></body></html>