[Jobinfo] Fwd: [Ieee_vis_open_positions] Three PhD positions on Visual Analytics - Eindhoven University of Technology
Sat May 26 21:00:32 CEST 2018
-------- Forwarded Message --------
Subject: [Ieee_vis_open_positions] Three PhD positions on Visual
Analytics - Eindhoven University of Technology
Date: Fri, 25 May 2018 16:17:58 +0000
From: Wijk, J.J. van via ieee_vis_open_positions
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: Wijk, J.J. van <J.J.v.Wijk@TUE.nl>
To: ieee_vis_open_positions@listserv.uni-tuebingen.de
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Dear sir/madam,
I would be delighted if you could broadcast the advertisement below via
the IEEE_vis_open_positions listserver.
Best regards,
Jarke van Wijk
*Subject:* Three PhD positions on Visual Analytics - Eindhoven
University of Technology
Three PhD positions on Transparent Data Science
Eindhoven University of Technology
Jheronimus Academy of Data Science
If you want to do visual analytics research on a crucial topic in data
science, apply before May 31, 2018 for one of our open positions.
In the context of a joint research project between Eindhoven University
of Technology (TU/e) and the Jheronimus Academy of Data Science (JADS), we
offer three 4-year fully funded PhD-student positions: on predictive
analytics, visualization, and human-technology interaction. The overall
aim of the project is to empower people to better understand and evaluate
the results of predictive analytics.
Job description
Predictive analytics is increasingly used in industry, business, finance,
government, healthcare, and education, using methods from machine learning,
data mining and statistics. The use of predictive analytics can lead to
improved and efficient decision making but the models that are generated
are often highly complex. This makes it hard to understand, trust, and
judge
the results of such models for humans.
The project “Transparent Explanations for Predictive Analytics using
Interactive Visualization”, funded by an NWO-TOP grant, attacks this
challenge. We put the human central, and strongly believe that close
collaboration between experts on visual analytics, cognitive psychology,
machine learning, and human machine interaction is needed to make major
steps forward. We aim at building a team of three PhD students with
complementary expertise and interests, supervised by staff members from
our data mining, visualization, and human-technology interaction groups.
Specifically, we have the following positions available:
(A) PhD student Predictive Analytics A complex model cannot be understood
by just looking at all structures and parameters involved. Typical
questions are what features were used and how important these were,
in general as well as in specific cases. Complex models can be
transformed into quantitatively or qualitatively simpler models.
A key challenge is to do this effectively and efficiently, such that
the simplified model is still relevant. Quantification of the scope
and
limitations are important to guide the human viewer. This PhD student
will be supervised by prof.dr. Mykola Pechenizkiy and
prof.dr. Maurits Kaptein.
(B) PhD Interactive Visualization Visualization will be used to present
explanations: the reasoning used, uncertainty involved, relevance of
variables, similar cases, etc. One challenge is that the audience of
model users is varied, ranging from data experts via domain experts to
lay users, each with different requirements and interests. Ultimately,
we aim to enable them to navigate smoothly through complex models,
guided by their interests, showing the big picture, as well as detail
when needed. This PhD student will be supervised by prof.dr. Jack
van Wijk
and dr. Michel Westenberg.
(C) PhD Human Model Interaction All novel solutions have to be carefully
evaluated, for effectiveness, efficiency, and usability. This is
notoriously hard in visual analytics, and requires a deeper
understanding
of fuzzy concepts such as understandability, trust, and acceptance.
We aim at the development of models and benchmarks for this, as
well as
thorough evaluation in real-world cases. This PhD student will be
supervised
by prof.dr. Wijnand IJsselsteijn, prof.dr. Chris Snijders, and
dr. Martijn Willemsen.
The PhD students will be appointed at the Department of Mathematics and
Computer Science (PhD A and B) and the Department of Industrial
Engineering &
Innovation Sciences (PhD C) of TU/e. The project is the result of
cooperation
within the Jheronimus Academy of Data Science (JADS): a unique
collaboration
of two renowned universities, TU/e and Tilburg University, bringing
together
their top academics to further the emerging and multidisciplinary academic
field of data science. The project team will work together at our new JADS
Mariënburg campus in ‘s-Hertogenbosch, which is fully dedicated to data
science.
Job requirements
We are looking for candidates that meet the following requirements:
* a solid background in computer science, data science, or related area,
with specialization in: (PhD A) predictive analytics; (PhD B)
interactive
visualization; (PhD C): cognitive psychology / human-computer
interaction;
demonstrated by a relevant Master’s degree and project. For PhD C a
cognitive science related major, supplemented with data science
knowledge
is likewise feasible;
* strong communication skills in English, both in speaking and in writing;
* capability and willingness to work both independently and in a team;
highly motivated, enthusiastic, and proactive;
* strong interest in human centered research;
* programming skills and the willingness to develop research prototypes.
Conditions of employment
We offer:
* a challenging job in a dynamic and ambitious university and a stimulating
research environment;
* a full time temporary appointment for a period of 4 years, with an
intermediate evaluation after 9 months;
* a gross salary of €2.222 per month in the first year increasing up to
€2.840
in the fourth year;
* healthy travel funding for presenting your work at the leading
conferences
and for research visits;
* support for your personal development and career planning including
courses,
summer schools, conference visits etc.;
* extensive package of fringe benefits (e.g. support in moving expenses
and commuting expenses, excellent technical infrastructure, and
excellent
sports facilities, extra holiday allowance (8%, May), and end-of-year
bonus (8.3%, December)).
Information and application
More information can be obtained from:
About the project and positions: prof.dr.ir. Jack van Wijk,
e-mail: j.j.v.wijk@tue.nl <mailto:j.j.v.wijk@tue.nl>;
About the employment conditions: Marjolein von Reth, HR advisor,
e-mail: pzwin@tue.nl <mailto:pzwin@tue.nl>
The application should consist of the following parts:
* cover letter explaining your motivation and qualifications for the
position;
* clear indication which PhD position (A, B, or C) is aimed at;
* detailed Curriculum Vitae (including a list of publications with download
links and software developed with links to repositories);
* list of courses taken at the Bachelor and Master level including grades;
* an electronic copy of your MSc thesis. If you have not completed your
thesis yet, please explain your current situation;
* names and email addresses of at least two contacts who can be approached
with a reference letter request.
Applications can be submitted via:
https://jobs.tue.nl/en/vacancy/three-phd-positions-transparent-data-science-338634.html
or (shorter): https://tinyurl.com/V32-3323
A maximum of 5 documents of max 2 MB each can be uploaded.
The selection process will start in June 2018 and will continue until the
positions are filled. Candidates are recommended to react before May 31.
The positions are available immediately. The starting date is somewhat
flexible, however, an ideal candidate would be available no later than
September 2018.
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