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<div class="WordSection1">We are happy to announce several<b class=""> </b><b class="">Doctoral
and Postdoctoral Research Fellowships </b>at the new<b class=""> <a href="http://www.hf.uio.no/ritmo/english/" class="">RITMO Centre
for Interdisciplinary Studies in Rhythm, Time and Motion<span style="font-weight:normal" class=""> </span></a></b>at the <b class="">University
of Oslo </b>within artificial intelligence, machine learning and robotics:</div><div class="WordSection1"><br class=""></div><div class="WordSection1">
<span style="mso-list:Ignore" class=""><span style="font-style: normal;
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font-variant: normal;" class=""></span></span><b class=""><span lang="EN-US" class=""><a href="https://www.jobbnorge.no/ledige-stillinger/stilling/144121/doctoral-research-fellowships-in-artificial-intelligence-on-musical-human-robotic-rhythm" class="">Doctoral
Research Fellowships in Artificial Intelligence on
Musical/Human/Robotic Rhythm (1-2 positions)</a><u class=""><br class="">
</u></span></b><span lang="EN-US" class="">The PhD fellow(s) will
carry out research on artificial intelligence methods to be
used in (1) the analysis of human/musical rhythm and/or (2)
synthesis of rhythms in robotic systems. The project(s) may
therefore range from focusing more on theoretical development
and computer-based testing, to focusing more on developing
machine systems (simulation and robots) that can interact
rhythmically with each other and with humans.</span><b class=""><u class=""><span lang="EN-GB" class=""></span></u></b><br class=""><br class="">
<span style="mso-list:Ignore" class=""><span style="font-style: normal;
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font-variant: normal;" class=""></span></span><b class=""><span lang="EN-US" class=""><a href="https://www.jobbnorge.no/ledige-stillinger/stilling/144122/post-doctoral-research-fellowship-in-machine-learning-on-time-series-data" class="">Postdoctoral
Research Fellowship in Machine Learning on Time Series
Data</a><u class=""><br class="">
</u></span></b><span lang="EN-US" class="">The postdoctoral fellow
will carry out research on novel machine learning methods for
the analysis of time series data relevant for RITMO. This
includes a large range of different data types, including
audio/video recordings, data from motion and eye tracking
systems, physiological sensors, and brain imaging.</span><b class=""><u class=""><span lang="EN-GB" class=""></span></u></b><br class="">
<br class="">
<span style="mso-list:Ignore" class=""><span style="font-style: normal;
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font-variant: normal;" class=""></span></span><b class=""><span lang="EN-US" class=""><a href="https://www.jobbnorge.no/ledige-stillinger/stilling/144460/post-doctoral-research-fellowship-in-music-information-retrieval" class="">Postdoctoral
Research Fellowship in Music Information Retrieval</a><u class=""><br class="">
</u></span></b><span lang="EN-US" class="">The postdoctoral fellow
will carry out research in music information retrieval on
audio recordings, with a particular focus on temporal/rhythmic
structures of large-scale musical works. It will also be
relevant to combine audio-based analyses with musical score
analysis and multimodal analysis of human time series data.</span></div><div class="WordSection1"><br class=""><span lang="EN-GB" class=""> </span><br class="">
<span lang="EN-GB" class="">RITMO is a new Centre of Excellence funded by
the Research Council of Norway. All RITMO researchers will be
co-located and work in a unique interdisciplinary
constellation, with world-leading competence in musicology,
psychology and informatics. Read <span style="color:#1F497D" class="">
<a href="http://www.hf.uio.no/ritmo/english/about/" moz-do-not-send="true" class="">more about RITMO</a></span>.</span><br class="">
<br class="">
<b class=""><span lang="EN-GB" class="">Application deadline:</span></b><span lang="EN-GB" class=""> 31 January 2018<br class="">
<b class="">Contact:</b> Head of Administration <a href="http://www.hf.uio.no/imv/english/people/adm/annecwe/index.html" class="">
Ancha Wesnes</a></span><br class="">
<br class="">
<span lang="EN-GB" class=""> </span><br class="">
<span lang="EN-GB" class="">Please circulate through your networks and
forward to relevant candidates. </span>Apologies for cross
posting. <br class="">
<br class="">
<br class="">
Best,<br class=""></div><div class="WordSection1">Jim Torresen <br class=""><br class="">Professor <br class="">Department of Informatics <br class="">University of Oslo <br class=""><br class="">Cluster leader and Principle Investigator, RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion <br class=""><br class=""> </div></div>
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