<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=iso-8859-1"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:#954F72;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:70.85pt 70.85pt 2.0cm 70.85pt;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Dear colleagues,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>I’m looking for a motivated research assistant (m/f/d) in the areas of visual analytics, interactive data science, and interactive machine learning for a PhD project in the Interactive Visual Data Analysis Group at the University of Zurich (UZH) (<a href="https://www.ifi.uzh.ch/en.html">https://www.ifi.uzh.ch/en.html</a>). Together, we will develop new approaches for characterization, design, and evaluation of interactive visual interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications.<o:p></o:p></p><p class=MsoNormal>Flyer for the open position: <a href="https://tinyurl.com/y35pf6bn">https://tinyurl.com/y35pf6bn</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>*Research Context*<o:p></o:p></b></p><p class=MsoNormal>The primary research focus will be at the intersection between Information Visualization, Visual Analytics, Human-Computer Interaction, and Machine Learning. The PhD project will follow a human-centered approach to data science, in order to foster the involvement of humans in the data analysis process with interactive visual interfaces. Research will be on the combination of the strength of humans and machines in an iterative and incremental data analysis process in order to tackle remaining data science challenges.<o:p></o:p></p><p class=MsoNormal> * Examples for data-oriented challenges are heterogeneous data, dirty data, uncertain data, or unlabeled data. <o:p></o:p></p><p class=MsoNormal> * Important model-oriented challenges include data preprocessing, model building, model quality assessment, or model explanation. <o:p></o:p></p><p class=MsoNormal> * Particularly interesting user-oriented challenges are different degrees of user expertise, users’ personalization intents, and understanding and supporting user preferences with respect to data and tasks. <o:p></o:p></p><p class=MsoNormal>The contributions of the PhD project will include human-centered data science solutions tailored to the information need of individual users. These new approaches will also make machine learning applicable to larger user groups in the context of data science and digitalization initiatives.<o:p></o:p></p><p class=MsoNormal>For more information about my recent research context, see <a href="http://juergen-bernard.de">http://juergen-bernard.de</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>*Requirements*<o:p></o:p></b></p><p class=MsoNormal> * Master degree in computer science or comparable subject from a recognized university<o:p></o:p></p><p class=MsoNormal> * Knowledge or interest in one or more of the following: information visualization, visual analytics, machine learning, data mining, information retrieval, or related data science fields. <o:p></o:p></p><p class=MsoNormal> * Profound skills in programming (Python, Java)<o:p></o:p></p><p class=MsoNormal> * Interest to work on applied research questions in a collaborative research environment<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>*Desired Qualifications and Skills*<o:p></o:p></b></p><p class=MsoNormal> * Knowledge of user-centered design, design study methods, and evaluation methods<o:p></o:p></p><p class=MsoNormal> * Expertise with methods such as classification, regression, clustering, dimensionality reduction, similarity search, or recommender systems<o:p></o:p></p><p class=MsoNormal> * Experience in supervising students<o:p></o:p></p><p class=MsoNormal> * Ability and willingness to work effectively with students, faculty, and staff from all backgrounds<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>*What we offer*<o:p></o:p></b></p><p class=MsoNormal>* Possibility to achieve a PhD degree in computer science at UZH<o:p></o:p></p><p class=MsoNormal>* Hands-on supervision and support in conducting excellent research and in publishing results in top international journals and conferences<o:p></o:p></p><p class=MsoNormal>* Creative working atmosphere in a motivated, cooperative, and technically very well equipped environment<o:p></o:p></p><p class=MsoNormal>* Excellent professional and personal development possibilities and hence, excellent basis for a future career in interactive visual data analysis in an industrial context<o:p></o:p></p><p class=MsoNormal>* Specific benefits like flexible working hours, young scientist promotion opportunities, parental leave benefits, nursery services, and care for dependents and much more<o:p></o:p></p><p class=MsoNormal>* Very good salary, according to local university regulations and standards in Switzerland<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><b>*How to Apply*<o:p></o:p></b></p><p class=MsoNormal>Official applications should include:<o:p></o:p></p><p class=MsoNormal>* Motivation letter<o:p></o:p></p><p class=MsoNormal>* CV<o:p></o:p></p><p class=MsoNormal>* Certificates of degrees and educational background<o:p></o:p></p><p class=MsoNormal>* Clear exposition of prior data visualization experience<o:p></o:p></p><p class=MsoNormal>* Copy of the Master thesis<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The applications should be sent to <a href="mailto:bernard@ifi.uzh.ch">bernard@ifi.uzh.ch</a> until *December 31 2020*<span style='color:black'>. For questions, please feel free to use this </span>Email as well.<span style='color:black'><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>With best regards,<o:p></o:p></p><p class=MsoNormal>Jürgen Bernard<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>-- <o:p></o:p></p><p class=MsoNormal>Jürgen Bernard<o:p></o:p></p><p class=MsoNormal>Assistant Professor of Computer Science<o:p></o:p></p><p class=MsoNormal>University of Zurich<o:p></o:p></p><p class=MsoNormal><a href="http://juergen-bernard.de">http://juergen-bernard.de</a><o:p></o:p></p></div></body></html>