Message posted on 19/07/2020
Permanent lectureship in Digital Methods - deadline soon!
In case you missed it, we have a fantastic permanent academic position open in <br>our department at the University of Edinburgh, with especially strong <br>opportunities and support for interdisciplinary research and graduate-level <br>teaching. Applications close 29 July, so don't delay! <br> <br>https://www.jobs.ac.uk/job/CAO827/lecturer-in-digital-methods <br> <br>Michael J. Barany <br>History of Science, University of Edinburgh <br>http://mbarany.com <br> <br>We seek to appoint an outstanding social scientist for the position of <br>Lecturer in Digital Methods, within Science, Technology and Innovation Studies <br>(STIS), part of the School of Social and Political Science (SPS). <br> <br>With expertise in digital methods, you will further the School’s <br>international reputation and its commitment to excellence in interdisciplinary <br>scholarship, teaching and administration. You will present a research profile <br>which is at the forefront of the field of digital methods and social data <br>science in both experience to date and in future potential. <br> <br>You will demonstrate experience, achievement and potential reflected in a <br>growing personal teaching and supervisory portfolio. You will be expected to <br>deliver online courses, and provide personal tutoring, to students on the <br>cross-College MSc Programme ‘Data Science Technology and Innovation’ <br>(DSTI); develop a dissertation preparation course on ‘Social Shaping of <br>Digital Research’; and provide training/workshops on ‘Mixed Digital <br>Methods’ for the School of Social and Political Science’s (SPS) new <br>Research Training Centre (RTC). You will also in time play an active role in <br>developing a ‘Social Data Science’ pathway for the DSTI Programme. In <br>addition, you will supervise postgraduate students and undertake management <br>and administrative duties commensurate with the role, whilst pursuing high <br>quality research and knowledge exchange activities in a relevant area of <br>social data science. <br> <br>You will play a full part in the collegial life of the Subject Area and the <br>School, and must be able and willing to operate within, and contribute to, the <br>interdisciplinary environment of STIS, which involves collaborations with <br>other School subject areas, and other Units across the University’s <br>Colleges, including the Data Science Education Centre of Excellence hosted by <br>the Bayes Centre and the Edinburgh Futures Institute. <br> <br>We are committed to equality and diversity and strongly encourage women and <br>BAME applicants to apply. <br> <br>This is a full time (35hrs per week), open-ended post. <br> <br>The closing date for this post is 29th July 2020, 5pm (GMT). <br> <br>www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=0 <br>52486 <br> <br>The University of Edinburgh is a charitable body, registered in Scotland, with <br>registration number SC005336. <br>_______________________________________________ <br>EASST's Eurograd mailing list <br>Eurograd (at) lists.easst.net <br>Unsubscribe or edit subscription options: http://lists.easst.net/listinfo.cgi/eurograd-easst.net <br> <br>Meet us via https://twitter.com/STSeasst <br> <br>Report abuses of this list to Eurograd-owner@lists.easst.netview formatted text
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