<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=utf-8">
<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:0in;
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;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle18
{mso-style-type:personal-reply;
font-family:"Calibri",sans-serif;
color:#1F497D;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
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"><span style="color:#1F497D">Dear sir/madam,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">I would be delighted if you could broadcast the advertisement below via the IEEE_vis_open_positions listserver.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Best regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="color:#1F497D">Jarke van Wijk<o:p></o:p></span></p>
<p class="MsoNormal"><a name="_MailEndCompose"><span style="color:#1F497D"><o:p> </o:p></span></a></p>
<div>
<div style="border:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0in 0in 0in">
<p class="MsoNormal"><b>Subject:</b> Three PhD positions on Visual Analytics - Eindhoven University of Technology<o:p></o:p></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Three PhD positions on Transparent Data Science<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Eindhoven University of Technology<o:p></o:p></p>
<p class="MsoNormal">Jheronimus Academy of Data Science<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">If you want to do visual analytics research on a crucial topic in data
<o:p></o:p></p>
<p class="MsoNormal">science, apply before May 31, 2018 for one of our open positions.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">In the context of a joint research project between Eindhoven University
<o:p></o:p></p>
<p class="MsoNormal">of Technology (TU/e) and the Jheronimus Academy of Data Science (JADS), we
<o:p></o:p></p>
<p class="MsoNormal">offer three 4-year fully funded PhD-student positions: on predictive
<o:p></o:p></p>
<p class="MsoNormal">analytics, visualization, and human-technology interaction. The overall
<o:p></o:p></p>
<p class="MsoNormal">aim of the project is to empower people to better understand and evaluate
<o:p></o:p></p>
<p class="MsoNormal">the results of predictive analytics.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Job description<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Predictive analytics is increasingly used in industry, business, finance,
<o:p></o:p></p>
<p class="MsoNormal">government, healthcare, and education, using methods from machine learning,
<o:p></o:p></p>
<p class="MsoNormal">data mining and statistics. The use of predictive analytics can lead to
<o:p></o:p></p>
<p class="MsoNormal">improved and efficient decision making but the models that are generated
<o:p></o:p></p>
<p class="MsoNormal">are often highly complex. This makes it hard to understand, trust, and judge
<o:p></o:p></p>
<p class="MsoNormal">the results of such models for humans.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The project “Transparent Explanations for Predictive Analytics using
<o:p></o:p></p>
<p class="MsoNormal">Interactive Visualization”, funded by an NWO-TOP grant, attacks this
<o:p></o:p></p>
<p class="MsoNormal">challenge. We put the human central, and strongly believe that close
<o:p></o:p></p>
<p class="MsoNormal">collaboration between experts on visual analytics, cognitive psychology,
<o:p></o:p></p>
<p class="MsoNormal">machine learning, and human machine interaction is needed to make major
<o:p></o:p></p>
<p class="MsoNormal">steps forward. We aim at building a team of three PhD students with
<o:p></o:p></p>
<p class="MsoNormal">complementary expertise and interests, supervised by staff members from
<o:p></o:p></p>
<p class="MsoNormal">our data mining, visualization, and human-technology interaction groups.
<o:p></o:p></p>
<p class="MsoNormal">Specifically, we have the following positions available:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">(A) PhD student Predictive Analytics A complex model cannot be understood
<o:p></o:p></p>
<p class="MsoNormal"> by just looking at all structures and parameters involved. Typical
<o:p></o:p></p>
<p class="MsoNormal"> questions are what features were used and how important these were,
<o:p></o:p></p>
<p class="MsoNormal"> in general as well as in specific cases. Complex models can be
<o:p></o:p></p>
<p class="MsoNormal"> transformed into quantitatively or qualitatively simpler models.
<o:p></o:p></p>
<p class="MsoNormal"> A key challenge is to do this effectively and efficiently, such that
<o:p></o:p></p>
<p class="MsoNormal"> the simplified model is still relevant. Quantification of the scope and
<o:p></o:p></p>
<p class="MsoNormal"> limitations are important to guide the human viewer. This PhD student
<o:p></o:p></p>
<p class="MsoNormal"> will be supervised by prof.dr. Mykola Pechenizkiy and <o:p>
</o:p></p>
<p class="MsoNormal"> prof.dr. Maurits Kaptein.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">(B) PhD Interactive Visualization Visualization will be used to present
<o:p></o:p></p>
<p class="MsoNormal"> explanations: the reasoning used, uncertainty involved, relevance of
<o:p></o:p></p>
<p class="MsoNormal"> variables, similar cases, etc. One challenge is that the audience of
<o:p></o:p></p>
<p class="MsoNormal"> model users is varied, ranging from data experts via domain experts to
<o:p></o:p></p>
<p class="MsoNormal"> lay users, each with different requirements and interests. Ultimately,
<o:p></o:p></p>
<p class="MsoNormal"> we aim to enable them to navigate smoothly through complex models,
<o:p></o:p></p>
<p class="MsoNormal"> guided by their interests, showing the big picture, as well as detail
<o:p></o:p></p>
<p class="MsoNormal"> when needed. This PhD student will be supervised by prof.dr. Jack van Wijk
<o:p></o:p></p>
<p class="MsoNormal"> and dr. Michel Westenberg.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">(C) PhD Human Model Interaction All novel solutions have to be carefully
<o:p></o:p></p>
<p class="MsoNormal"> evaluated, for effectiveness, efficiency, and usability. This is
<o:p></o:p></p>
<p class="MsoNormal"> notoriously hard in visual analytics, and requires a deeper understanding
<o:p></o:p></p>
<p class="MsoNormal"> of fuzzy concepts such as understandability, trust, and acceptance.
<o:p></o:p></p>
<p class="MsoNormal"> We aim at the development of models and benchmarks for this, as well as
<o:p></o:p></p>
<p class="MsoNormal"> thorough evaluation in real-world cases. This PhD student will be supervised
<o:p></o:p></p>
<p class="MsoNormal"> by prof.dr. Wijnand IJsselsteijn, prof.dr. Chris Snijders, and
<o:p></o:p></p>
<p class="MsoNormal"> dr. Martijn Willemsen.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The PhD students will be appointed at the Department of Mathematics and
<o:p></o:p></p>
<p class="MsoNormal">Computer Science (PhD A and B) and the Department of Industrial Engineering &
<o:p></o:p></p>
<p class="MsoNormal">Innovation Sciences (PhD C) of TU/e. The project is the result of cooperation
<o:p></o:p></p>
<p class="MsoNormal">within the Jheronimus Academy of Data Science (JADS): a unique collaboration
<o:p></o:p></p>
<p class="MsoNormal">of two renowned universities, TU/e and Tilburg University, bringing together
<o:p></o:p></p>
<p class="MsoNormal">their top academics to further the emerging and multidisciplinary academic
<o:p></o:p></p>
<p class="MsoNormal">field of data science. The project team will work together at our new JADS
<o:p></o:p></p>
<p class="MsoNormal">Mariënburg campus in ‘s-Hertogenbosch, which is fully dedicated to data science.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Job requirements<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">We are looking for candidates that meet the following requirements:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">* a solid background in computer science, data science, or related area,
<o:p></o:p></p>
<p class="MsoNormal"> with specialization in: (PhD A) predictive analytics; (PhD B) interactive
<o:p></o:p></p>
<p class="MsoNormal"> visualization; (PhD C): cognitive psychology / human-computer interaction;
<o:p></o:p></p>
<p class="MsoNormal"> demonstrated by a relevant Master’s degree and project. For PhD C a
<o:p></o:p></p>
<p class="MsoNormal"> cognitive science related major, supplemented with data science knowledge
<o:p></o:p></p>
<p class="MsoNormal"> is likewise feasible;<o:p></o:p></p>
<p class="MsoNormal">* strong communication skills in English, both in speaking and in writing;<o:p></o:p></p>
<p class="MsoNormal">* capability and willingness to work both independently and in a team;
<o:p></o:p></p>
<p class="MsoNormal"> highly motivated, enthusiastic, and proactive;<o:p></o:p></p>
<p class="MsoNormal">* strong interest in human centered research;<o:p></o:p></p>
<p class="MsoNormal">* programming skills and the willingness to develop research prototypes.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Conditions of employment<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">We offer:<o:p></o:p></p>
<p class="MsoNormal">* a challenging job in a dynamic and ambitious university and a stimulating
<o:p></o:p></p>
<p class="MsoNormal"> research environment;<o:p></o:p></p>
<p class="MsoNormal">* a full time temporary appointment for a period of 4 years, with an
<o:p></o:p></p>
<p class="MsoNormal"> intermediate evaluation after 9 months;<o:p></o:p></p>
<p class="MsoNormal">* a gross salary of €2.222 per month in the first year increasing up to €2.840
<o:p></o:p></p>
<p class="MsoNormal"> in the fourth year;<o:p></o:p></p>
<p class="MsoNormal">* healthy travel funding for presenting your work at the leading conferences
<o:p></o:p></p>
<p class="MsoNormal"> and for research visits;<o:p></o:p></p>
<p class="MsoNormal">* support for your personal development and career planning including courses,
<o:p></o:p></p>
<p class="MsoNormal"> summer schools, conference visits etc.;<o:p></o:p></p>
<p class="MsoNormal">* extensive package of fringe benefits (e.g. support in moving expenses
<o:p></o:p></p>
<p class="MsoNormal"> and commuting expenses, excellent technical infrastructure, and excellent
<o:p></o:p></p>
<p class="MsoNormal"> sports facilities, extra holiday allowance (8%, May), and end-of-year
<o:p></o:p></p>
<p class="MsoNormal"> bonus (8.3%, December)).<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Information and application<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">More information can be obtained from:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">About the project and positions: prof.dr.ir. Jack van Wijk, <o:p>
</o:p></p>
<p class="MsoNormal">e-mail: <a href="mailto:j.j.v.wijk@tue.nl">j.j.v.wijk@tue.nl</a>;<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">About the employment conditions: Marjolein von Reth, HR advisor,
<o:p></o:p></p>
<p class="MsoNormal">e-mail: <a href="mailto:pzwin@tue.nl">pzwin@tue.nl</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The application should consist of the following parts:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">* cover letter explaining your motivation and qualifications for the position;<o:p></o:p></p>
<p class="MsoNormal">* clear indication which PhD position (A, B, or C) is aimed at;<o:p></o:p></p>
<p class="MsoNormal">* detailed Curriculum Vitae (including a list of publications with download
<o:p></o:p></p>
<p class="MsoNormal"> links and software developed with links to repositories);<o:p></o:p></p>
<p class="MsoNormal">* list of courses taken at the Bachelor and Master level including grades;<o:p></o:p></p>
<p class="MsoNormal">* an electronic copy of your MSc thesis. If you have not completed your
<o:p></o:p></p>
<p class="MsoNormal"> thesis yet, please explain your current situation;<o:p></o:p></p>
<p class="MsoNormal">* names and email addresses of at least two contacts who can be approached
<o:p></o:p></p>
<p class="MsoNormal"> with a reference letter request.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Applications can be submitted via:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="https://jobs.tue.nl/en/vacancy/three-phd-positions-transparent-data-science-338634.html">https://jobs.tue.nl/en/vacancy/three-phd-positions-transparent-data-science-338634.html</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">or (shorter): <a href="https://tinyurl.com/V32-3323">https://tinyurl.com/V32-3323</a>
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">A maximum of 5 documents of max 2 MB each can be uploaded.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The selection process will start in June 2018 and will continue until the
<o:p></o:p></p>
<p class="MsoNormal">positions are filled. Candidates are recommended to react before May 31.
<o:p></o:p></p>
<p class="MsoNormal">The positions are available immediately. The starting date is somewhat
<o:p></o:p></p>
<p class="MsoNormal">flexible, however, an ideal candidate would be available no later than
<o:p></o:p></p>
<p class="MsoNormal">September 2018.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
</body>
</html>