<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="Generator" content="Microsoft Exchange Server">
<!-- converted from rtf -->
<style><!-- .EmailQuote { margin-left: 1pt; padding-left: 4pt; border-left: #800000 2px solid; } --></style>
</head>
<body>
<font face="Calibri" size="2"><span style="font-size:11pt;">
<div>The School of Computing Science at the University of Glasgow is recruiting to 11 new academic positions <a href="https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/"><font color="#0563C1"><u>https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/</u></font></a></div>
<div>4 of which are in data science and might be of interest to this mailing list. The deadline for the data science posts is 16<font size="1"><span style="font-size:7.3pt;"><sup>th</sup></span></font> September 2020.</div>
<div> </div>
<ul style="margin:0;padding-left:36pt;">
<li>2 x Research & Teaching permanent academic positions <a href="https://www.jobs.ac.uk/job/CBF821/lecturer-senior-lecturer-reader-in-data-science"><font color="#0563C1"><u>https://www.jobs.ac.uk/job/CBF821/lecturer-senior-lecturer-reader-in-data-science</u></font></a>
(at Lecturer / Senior Lecturer / Reader, as appropriate to experience)</li></ul>
<div style="padding-left:36pt;">Applications for the post are welcome in any research areas of Computing Science that complement the existing strengths in the School within the general area of Data Science of interest to the Section for Information, Data and
Analytics. This includes topics such as Information Retrieval, Machine Learning, ML in Science, Fairness, Transparency & Explainability, Algorithmic Bias & Ethics, Vision systems, Computational Interaction, Conversational systems/agents, Knowledge Bases & NLP,
Recommender Systems, Media & Data Science.</div>
<div> </div>
<ul style="margin:0;padding-left:36pt;">
<li>2 x Learning & Teaching fixed contract posts <a href="https://www.jobs.ac.uk/job/CBF827/lecturer-in-data-science"><font color="#0563C1"><u>https://www.jobs.ac.uk/job/CBF827/lecturer-in-data-science</u></font></a></li></ul>
<div style="padding-left:36pt;">To contribute to the delivery of an excellent student experience by contributing to teaching, assessment and administration processes associated with undergraduate and postgraduate programmes and to undertake scholarship to enhance
learning and teaching in the School of Science, in the area of Data Science. This will typically include strengths in Python, Pandas and database system skills, as well as data visualization and data manipulation. Experience with cloud-based systems would
be beneficial. Applicants should have core Machine Learning practical and theoretical skills and, ideally, some advanced skills in ML, such as deep learning experience with Tensorflow or pyTorch and NLP. </div>
<div style="padding-left:36pt;">This is primarily a teaching-related post. Data science academics with an interest in a research and teaching post are recommended to apply for Vacancy ref: 040667 above instead.</div>
<div> </div>
<div>If you have any interest in these posts, please contact me on <a href="mailto:Roderick.Murray-Smith@glasgow.ac.uk"><font color="#0563C1"><u>Roderick.Murray-Smith@glasgow.ac.uk</u></font></a> , or apply directly.</div>
<div> </div>
<div style="margin-top:5pt;margin-bottom:5pt;"><font size="2"><span style="font-size:10pt;">Professor Roderick Murray-Smith<br>
Head of Section, Information, Data and Analysis Section,<br>
Inference, Dynamics and Interaction Research Group<br>
School of Computing Science<br>
University of Glasgow<br>
Phone: +44 141 330 4984<br>
Web: <a href="http://www.dcs.gla.ac.uk/~rod"><font color="#0563C1"><u>http://www.dcs.gla.ac.uk/~rod</u></font></a></span></font></div>
<div style="margin-top:5pt;margin-bottom:5pt;"><font size="2"><span style="font-size:10pt;">An t-Ollamh Ruairidh Murray-Smith<br>
Ceannard Roinne, Roinn Fiosrachaidh, Dąta agus Anailis<br>
Buidheann Rannsachaidh air Oidheam, Dinimigeachd agus Eadar-obrachadh<br>
Sgoil Saidheans na Coimpiutaireachd<br>
Oilthigh Ghlaschu</span></font></div>
<div> </div>
<div> </div>
<div> </div>
</span></font>
</body>
</html>