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<div><font color="#222222">This is part of a call for 3 permanent academic posts. All posts are available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. The salary will be on the Research and
Teaching Grade, level 7, 8 or 9: £35,210 - £39,610 / £43,266 - £50,132 / £51,630 - £58,089 per annum. <br>
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We are looking for outstanding academics who can work in our Information, Data and Analysis Section in areas such as Machine learning, Information Retrieval, Vision and Sensor-based systems and Data Systems, to develop, lead and sustain research of international
standard in Data Science & Media; to actively engage in teaching at undergraduate and/or postgraduate level and to play a role in developing and executing School strategy, management and organisation. <br>
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The School has existing strengths in information retrieval and machine learning applied in contexts such as politics and social media, recommender systems, music information retrieval, conversational interaction and search. As part of our plans to expand our
research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, we aim to recruit 3 new staff in the topics of Information Retrieval/Machine Learning/Data Systems. Our primary criterion is academic excellence
in the areas above, and we are especially interested in applicants that have the potential to expand our existing strengths in media (including Social Media) and data science, including but not limited to topics such as: <br>
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• core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content) <br>
• conversational interaction and search <br>
• explainability/interpretability/ethics in information retrieval and/or machine learning, algorithmic bias, especially applied in a media context <br>
• data science for communications media <br>
• information retrieval from digital archives <br>
• data science for politics and social media <br>
• social media search & analytics <br>
• music information retrieval <br>
• algorithmic content generation <br>
• personalisation including (context-aware) recommendation systems/interaction <br>
• large-scale data and/or information retrieval systems <br>
• user engagement modelling and predictive analytics <br>
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Apply online at <a href="http://www.gla.ac.uk/explore/jobs/"><font color="#6611CC">http://www.gla.ac.uk/explore</font><font color="#6611CC">/</font><font color="#6611CC">jobs/</font></a> Vacancy Reference: 025440 <br>
<a href="https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/"><font color="#6611CC">https://www.gla.ac.uk/schools</font><font color="#6611CC">/</font><font color="#6611CC">computing</font><font color="#6611CC">/</font><font color="#6611CC">worldchangerswelcome</font><font color="#6611CC">/</font><font color="#6611CC">priorityareas/#d.en.648786</font></a> <br>
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Closing date: Wednesday, 10th July 2019 <br>
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More details on positions available at: <a href="https://www.gla.ac.uk/schools/computing/worldchangerswelcome/"><font color="#6611CC">https://www.gla.ac.uk/schools</font><font color="#6611CC">/</font><font color="#6611CC">computing</font><font color="#6611CC">/</font><font color="#6611CC">worldchangerswelcome/</font></a> <br>
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The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 14 academics, and 35 postdoctoral fellows, research assistants and PhD students active in this area. IDA section: <a href="https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/"><font color="#6611CC">https://www.gla.ac.uk</font><font color="#6611CC">/</font><font color="#6611CC">schools/computing/research</font><font color="#6611CC">/</font><font color="#6611CC">researchsections/ida-section/</font></a> <br>
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For informal enquiries please contact: <br>
Professor Rod Murray-Smith Email: <a href="mailto:Roderick.Murray-Smith@glasgow.ac.uk"><font color="#6611CC">Roderick.Murray-Smith@glasgow</font><font color="#6611CC">.</font><font color="#6611CC">ac.uk</font></a> </font></div>
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<div style="margin-top:5pt;margin-bottom:5pt;"><font face="Calibri">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></font></div>
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