PhD position – Gaze-Based Interaction with Urban Environments


The Chair of Geoinformation Engineering at ETH Zürich is looking for a highly motivated PhD candidate, starting at the earliest possible date.

PhD position – Gaze-Based Interaction with Urban Environments

The main objective of the project Location-Aware Mobile Eye Tracking for Tourist Assistance is the investigation of novel gaze-based interaction methods for pedestrians in urban environments, with a focus on a tourist scenario. The project envisions mobile assistance systems that trigger information services based on a user’s gaze on 3D-objects in a real-world urban environment.

The ideal candidate must have an excellent degree (M.Sc., M.Eng. or equivalent) in Computer Science, Geomatics or related fields, as well as a strong research interest in human-computer interaction. Knowledge of methods in machine learning, inferential statistics, as well as strong programming skills (e.g., Java or C++) are required. Background or experience in eye tracking, computer vision, virtual environments, geographic information science, or related topics is a significant plus. The candidate must have excellent communication skills in English (oral and writing), be team-oriented and willing to work in an international environment.

We look forward to receiving your online application (https://apply.refline.ch/845721/5544/pub/1/index.html), including a letter of motivation, CV, university score records, contact details of at least two academic referees until September 30, 2017. Selection will start immediately, so early submissions are encouraged. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Should you run into difficulties when submitting your application please send an email to recruitingsupport@ethz.ch for advice.

The PhD project will be associated with the GeoGazeLab (http://www.gegogaze.org/) and supervised by Prof. Dr. Martin Raubal (Chair of Geoinformation Engineering). The PhD position will be fully funded, where part of the funding is part of an ETH Zurich Research Grant. For further information about the position, please contact Dr. Peter Kiefer by emailpekiefer@ethz.ch (no applications).

https://apply.refline.ch/845721/5544/pub/1/index.html

Open PhD student position, Spatio-Temporal Modeling of Dialect Change


http://bit.ly/2v1FQwR

The University Research Priority Program (URPP) Language and Space has a focus on communication, which is inevitably linked to geographical and social space. Choosing a language or regional variety allows us to identify with and distinguish ourselves from others. Understanding these choices, however, is far from straight-forward. The URPP approaches relations between language and space with cutting-edge technology, combining methods and insights from linguistics and geographic information science. Within the URPP we seek applicants for a PhD student position, focusing on how languages – in particular dialects – change over space and time and how such changes can be quantitatively modeled. Data sources will range from traditional linguistic atlas data, to written and spoken text and large social media data. Methodological advancements made in the project will be relevant in a broader digital humanities context. The PhD student will be expected to develop a detailed research proposal, in collaboration with an interdisciplinary advisory team from geography and linguistics as a first stage of the PhD research. The PhD student will be supervised by Dr. Curdin Derungs and hosted in the GISLab, one of three laboratories within the URPP. The PhD student will also be a member of the GIS Unit, which is part of the University of Zurich GIScience Center, hosting several research groups working on diverse topics including language and space, geographic information retrieval, digital terrain modeling, movement analysis, digital cartography and mobile systems, geovisual analytics, and spatial cognition. We are looking for a highly motivated, original thinker, with a passion for science and a desire to develop a research career. In return we offer excellent working conditions, embedding in the Zurich Graduate School in Geography, a stimulating intellectual environment, and Zurich’s high quality of life. Applicants are required to have completed an excellent Masters level degree in a relevant field such as geographic information science, statistics, computational sciences, or computational linguistics. Basic programming skills, as well as a willingness to develop these further are a prerequisite. You will also have a very good standard of written and spoken English. Knowledge of German is an asset. Send a curriculum vitae, a motivation letter, academic transcripts, and contact details for two referees (including e-mail addresses) in a single PDF document, and with reference “GISLabPhD” to info@spur.uzh.ch by 15 September 2017. For further questions, please contact Curdin Derungs (curdin.derungs@geo.uzh.ch). The project is scheduled to start on 01 January 2018 – or earlier – and runs for three years, with a possible extension of one year.

Mathematical and Computational Modelling of World Data


This PhD is part of the Data Analytics and Society Centre for Doctoral Training at the University of Leeds: https://datacdt.org
Title: Mathematical and Computational Modelling of World Data
Supervisor:Viktoria Spaiser and Richard Mann
Details of the project can be found at: https://datacdt.org/projects/modelling-of-world-data/
Applications are open until the position is filled!
Please address any queries to Eleri Pound E.A.Pound@leeds.ac.uk

Two PhD and two PostDoc researcher positions with the ERC Advanced Project GeoViSense (PI Sara Irina Fabrikant)


wo PhD and two PostDoc researcher positions with the ERC Advanced Project GeoViSense (PI Sara Irina Fabrikant)

The Geographic Information Visualization and Analysis (GIVA) group at the University of Zurich invites applications for two doctoral and two post-doctoral research positions 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 highly self-motivated researchers who will work efficiently and effectively on an interdisciplinary and collaborative research project involving large-screen Virtual Reality (VR) displays and mobile location-aware interfaces. Applications from women and under-represented groups are especially encouraged.

:: P h D   p o s t s ::

A completed MSc 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 contexts 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 Virtual Reality environments and/or for mobile applications would be an asset.  The successful candidate will be hired on a 1-year scholarship (starting November 1st, 2017), 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@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@geo.uzh.ch (subject: GeoViSense PhD), phone: +41-44-635-5151. Review of applications will begin Aug. 1st, 2017, and will continue until the position is filled.

:: P o s t D o c  p o s t s ::

A PhD in Psychology, Cognitive|Neuro Science, Computer|Data Science, Geography/Spatial Cognition, or related is required. We seek an established and highly motivated researcher who will be successful in leading an own research group, and work efficiently and effectively on interdisciplinary and collaborative projects. Experience in empirical behavioral research with human participants (indoors|outdoors), and/or in the collection|analyses of psycho-physiological data streams (i.e., EEG, EDA, EMG, or related space-time data) are essential. You have excellent written and spoken English communication skills. Knowledge of German, whilst not required, would be an advantage. Programming for Virtual Reality environments and/or mobile applications would be an asset. The appointment will be made on an annual basis for the first year (starting November 1st, 2017), with opportunity for multi-year extensions (potentially up to 5 years).

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

Applications must include a motivation letter, a CV, a list of publications, 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@geo.uzh.ch (subject: GeoViSense PostDoc), phone: +41-44-635-5151. Review of applications will begin Aug. 1st, 2017 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

iCASE MPhil/PhD Scholarship (Developing More Accurate Models for Pedestrian Navigation)


We are pleased to announce an opportunity for a iCASE MPhil/PhD Scholarship (Developing More Accurate Models for Pedestrian Navigation) with Ordnance Survey and  the Greenwich GIScience Group, University of Greenwich. Details of the project are attached. The advert can also be viewed online at:

http://www.jobs.ac.uk/job/BCZ753/icase-mphil-phd-studentship-developing-more-accurate-models-for-pedestrian-navigation

The closing date is 18th August 2018.

Open PhD student position, Spatio-Temporal Modeling of Dialect Change


The University Research Priority Program (URPP) Language and Space has a focus on communication, which is inevitably linked to geographical and social space. Choosing a language or regional variety allows us to identify with and distinguish ourselves from others. Understanding these choices, however, is far from straight-forward. The URPP approaches relations between language and space with cutting-edge technology, combining methods and insights from linguistics and geographic information science.

http://bit.ly/2v1FQwR

PhD candidate in the area of Mobility Information Engineering


The Institute of Cartography and Geoinformation is looking for a highly motivated PhD candidate in the area of Mobility Information Engineering at the Chair of Geoinformation Engineering (http://www.gis.ethz.ch), starting at the earliest possible date.

PhD position – Mobility Information Engineering
https://apply.refline.ch/845721/5368/pub/en/index.html

The main objective of this PhD position is the development and testing of innovative computational methods for the analysis and simulation of human mobility based on spatio-temporal data. This research will be linked to the Swiss Competence Center for Energy Research – Efficient Technologies and Systems for Mobility (SCCER Mobility) and the SBB Green Class project (http://mie-lab.ethz.ch/projects). The PhD project will be associated with the Mobility Information Engineering Lab (http://mie-lab.ethz.ch) and supervised by Prof. Dr. Martin Raubal (Chair of Geoinformation Engineering).

The ideal candidate must have an academic degree in Geomatics, Computer Science, Information Science, or related fields, as well as a strong research interest in mobility. Knowledge of methods in spatial analysis as well as strong programming skills (e.g., Java, Python or C++) are required. The candidate must have good communication skills in English (oral and writing), be team-oriented and willing to work in an international environment.
For further information about the position, please contact Dr. David Jonietz at jonietzd@ethz.ch (no direct applications, please).
Applications including your application letter, CV, short statement of research interests, full academic records, such as Bachelors and Masters degrees, and names and addresses of at least two references should be sent online to: ETH Zurich, Mrs. Corina Niescher, Human Resources, 8093 Zurich. Applications via email or regular mail will not be considered. Review of applications will begin on July 1st, 2017, and continue until the position is filled.

Nabídka brigády pro studenty


Možnost přivýdělku pro studenty v odpoledních hodinách na učebnách Institutu geoinformatiky a Institutu ekonomiky a systémů řízení v příštím školním roce 2017/2018! Jedná se o dozor na učebnách od 14:00 do 20:00 v semestru a od 14:00 do 18:00 ve zkouškovém období. Primárně jde o zpřístupnění učebny pedagogům pro výuku. Lze zkoordinovat i s vlastní výukou brigádníků na budově J.

Hledá se 4 až 5 studentů, 50 Kč/hod. (1-2 dny v týdnu/studenta). Kdo máte zájem, ozvěte se do konce semestru paní Kodymové (místnost J430, kl.4423).

Student Innovation Challenge 2017


Bearing the motto “Bridging IoT and Sensor Web Applications”, the 52°North Student Innovation Challenge stimulates students to generate and implement innovative ideas and concepts for a specific topic in the GeoIT domain. It also acknowledges and rewards creative and innovative minds.
52°North invites students of Geoinformatics, Informatics or related fields to submit proposals exploring the link between IoT and Sensor Web technology. The top three applicants will then implement proofs of concepts and present their project results at the Geospatial Sensor Web Conference 2017.
The 52°North Student Innovation Challenge is endowed with 3.500,- EUR.
Current Call for Proposals is online (http://52north.org/innovationprize)

Application deadline is May 7, 2017!

Please feel free to contact us with any questions.

Contact
52°North Initiative
Ann Hitchcock
52nprize@52north.org,
Tel. +49 (0)251 396 371 -0

The innovation prize is sponsored by 52°North GmbH, con terra GmbH, Esri Deutschland GmbH, the Institute for Geoinformatics at the University of Muenster and the Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente. These institutions work together under the banner of the 52°North Open Source Initiative to promote research and education in the field of Geoinformatics.

University of Canterbury, Ph.D. studium


The GeoKEA research group (http://geokea.ac.nz) in the University of Canterbury department of geography is offering a fully-funded full-time 3 year PhD scholarship in the area of geographic data science. Particular topics of interest in our group include analytics on unstructured geospatial data (such as text and images), geographic information retrieval and exploratory search user interfaces (see e.g., http://frankenplace.com), artificial intelligence and deep learning for geographic knowledge discovery, spatial-temporal digital humanities, and cognitive modelling and geosemantics. As part of the position you will have the opportunity to utilize high-performance computing systems and work with big data. For more information and application instructions please follow this link: https://darwinzer0.github.io/geokea/post/phd_scholarship/