[Hallgato] Fw: [geovis] ++ Two open PhD positions: 1 GeoVisual Analytics (open topic) & 1 mobile location-aware and responsive interfaces ++

[Gede Mátyás]

---------- Forwarded Message -----------
From: ". s a r a ." <sara.fabrikant at geo.uzh.ch>
To: geovis at iais.fraunhofer.de
Sent: 13 Dec 2017 10:31:51 +0100
Subject: [geovis] ++ Two open PhD positions: 1 GeoVisual Analytics (open
topic) & 1 mobile location-aware and responsive interfaces  ++

:: apologies for multiplication due to cross-postings ::

Dear Colleagues

I’d be most grateful if you could circulate below research opportunities in
your networks, and encourage willing and capable candidates to apply!

Many thanks and festive end of year wishes,
sara

++ PhD post: mobile location-aware and responsive interfaces ++

The Geographic Information Visualization and Analysis (GIVA) group at the
University of Zurich invites applications for a doctoral research position in
the context of the ERC Advanced Project GeoViSense, lead by the GIVA group
head and PI Sara Irina Fabrikant. This project, at the interface of GIScience
(geovisual analytics) and neuro-cognitive science aims to study how we make
space-time decisions with geographic information displays (GIDs) in varying
mobile decision making contexts, and to develop respective display design
guidelines for future user, task, and context-responsive GIDs to better
support efficient and effective space-time decision making on the go.

We seek a highly self-motivated researcher who will work efficiently and
effectively on an interdisciplinary and collaborative research project
involving mobile location-aware interfaces. Applications from women and
under-represented groups are especially encouraged. A completed MSc (by
thesis) in Geography and/or a closely related discipline (e.g., Psychology,
Cognitive|Neuro Science, Computer|Data Science, etc.) is required. You will be
interested in carrying out a PhD, empirically examining the role of user,
task, and changing context factors for mobile decision making with
location-aware geographic information displays. You will have a good standard
of written and spoken English. Knowledge of German, whilst not required, would
be an advantage. Ideally, the substantive domains of contribution within
GIScience include geographic information visualization/geovisual analytics,
spatial cognition, quantitative (empirical) research methods, and related
areas. A background in empirical data collection (indoors|outdoors),
quantitative data analyses, and programming for mobile applications would be
an asset.  The successful candidate will be hired on a 1-year contract
(starting February 1st, 2018 or soon thereafter), which will be extended to
the nominal 4-year PhD period after positive evaluation.

For informal thematic inquiries about this position contact Prof. Sara Irina
Fabrikant, Email: sara.fabrikant at geo.uzh.ch (subject: GeoViSense PhD), or by
phone: +41-44-635-5150.

Applications must include a motivation letter, a CV, transcripts, and the
contact information of two referees. Apply digitally to: Human Resources,
Department of Geography, University of Zurich, Winterthurerstr. 190, CH-8057
Zurich, Switzerland, Email: secretary.giva at geo.uzh.ch (subject: GeoViSense
PhD), phone: +41-44-635-5151. Review of applications will begin in January
2018, and will continue until the position is filled.

++ PhD post: geovisual analytics (open topic) ++

The Geographic Information Visualization and Analysis group at the University
of Zurich invites applications for a doctoral research assistant position in
Geographic Information Science/Geovisualization to work on a research project
related to geovisual analytics. The highly motivated, successful applicant is
asked to suggest, develop, and answer a timely and relevant research question
related to spatio-temporal knowledge discovery and knowledge construction
using geovisual analytics displays (including spatialization).

Applicants are required to have successfully completed a Master’s degree (by
thesis) in a relevant area, e.g., Geography, Geographic Information Science,
or Computer Science. You have an established background in quantitative and/or
qualitative methodologies for data collection and data analysis. Applications
from women and under-represented groups are especially encouraged. You are
familiar with information visualization including (carto-)graphic design and
(geo-)data mining. You have solid implementation skills (e.g., Java,
JavaScript, C#, or similar) and are confident in, for example, implementing an
interactive geovisual analytics system. You have a proven ability to work
independently on guided projects, and are interested in presenting your
results orally and in scientific publications to a larger scientific audience.
You have a very good standard of written and spoken English, and knowledge of
German, whilst not required, would be an advantage.

The successful candidate will be hired on a 1-year contract (starting February
1st, 2018 or soon thereafter), which will be extended to the nominal 4-year
PhD period after positive evaluation. For more background information about
this position, please visit us on the Web at http://www.geo.uzh.ch/giva. For
informal thematic inquiries about this position please contact Prof. Sara
Irina Fabrikant, Email: sara at geo.uzh.ch (subject: PhD GeoVA), or by phone:
+41-44-635-5150.

Applications must include a motivation letter with sample research questions,
a CV, transcripts, and the contact information of two referees. Apply
digitally to: Human Resources, Department of Geography, University of Zurich,
Winterthurerstr. 190, CH-8057 Zurich, Switzerland, Email:
secretary.giva at geo.uzh.ch (subject: GeoVA PhD), phone: +41-44-635-5151. Review
of applications will begin February 1st 2018, and will continue until the
position is filled.
---

s a r a   i r i n a   f a b r i k a n t
             p h d  | h e a d  teaching
. . . . . . . . . . . g e o g r a p h y
university of zurich
winterthurerstr. 190
CH-8057 zurich
switzerland
                  tel: +41-44-635.51.50
                  fax: +41-44-635.68.48
. . . . . .  http://www.geo.uzh.ch/giva
------- End of Forwarded Message -------


GEDE Mátyás
ELTE Térképtudományi és Geoinformatikai Tanszék, Budapest

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ICA Commission on GeoVisualization; http://geoanalytics.net