6 years PostDoc Position – TU Vienna – Spatial HCI Lab


The Geoinformation Group at TU Vienna in Austria is looking for a Post-Doctoral researcher, starting the earliest possible.

We would like you to contribute to our research in the areas of Human-Computer Interaction and Geographic Information Science. The position is not tied to a specific predetermined project. Some of the areas we are interested in are: spatial human-computer interaction, human navigation, location based services, smart cities, augmented and virtual reality, gaze-based interaction, spatio-temporal decision making as well as ubiquitous computing.

We welcome applicants with a doctoral degree in the area of Computer Science and Geoinformation Science or any related field.

We are offering an interesting full position in our group for up to 6 years.

— Contract information

                6 years position not tied to a project

                40h/week employment

                Minimum 3711,10 Euro gross (14 x per year)

— Application Documents

                Motivation letter

                A Curriculum Vitae

                A copy of education degrees

                Contact details of 2 referees

Application Deadline: 17. February

 

Please send your application documents (one file) to barbara.triebl-kraus@tuwien.ac.at

If you have any questions, you can write to geoinfo@geo.tuwien.ac.at

geoinfo.geo.tuwien.ac.at

——-

Prof. Dr. Ioannis Giannopoulos

Vienna University of Technology

Department of Geodesy and Geoinformation

Research Group Geoinformation

Gusshausstrasse 27-29

1040 Vienna, Austria

igiannopoulos@geo.tuwien.ac.at

www.igiannopoulos.com

geoinfo.geo.tuwien.ac.at

Fully funded PhD position – VGI – Leicester


Dear all,

the University of Leicester is offering a fully funded PhD position to work with me, Dr Nick Tate and Dr Andrea Ballatore (Birkbeck, University of London) on charting the diverse geographies of User-Generated Content. Please see further information below and let me know if you have any questions or queries.

Please feel free to forward this email to any potentially interested students.

Application deadline: Monday, January 21, 2019

https://www.findaphd.com/phds/project/data-census-charting-the-diverse-geographies-of-user-generated-content/?p104815

Data Census: Charting the diverse geographies of User-Generated Content

 

The past ten years have seen a momentous change in the way data is produced and used, driven by “web 2.0” and social media platforms (such as Wikipedia, Twitter and Instagram), and intertwined with the wide-spread adoption of smartphones and the open data movement. These phenomena have led to a deluge of digital data, including geospatial data, and the subsequent boom in big data analytics, data science, and machine learning (Kitchin, 2013). The use of these information sources is now commonplace, considered enabling of knowledge production (Smith, 2018) and a vital component of the recent advances in artificial intelligence.

However, the relationships between the geographies of user-generated content – commonly referred to as volunteered geographic information (VGI) in geographic information science – and the underlying socio-demographics at global (Graham et al., 2015), national (Bright et al., 2015) and urban (Ballatore and De Sabbata, 2018; Shelton et al., 2015) scales is complex and still largely unexplored. These studies indicate that user-generated content is highly concentrated in few locations, typically in urban areas with high socio-economic profiles, but only about half of the variation is accounted for by variation in socio-demographic variables, leaving the rest unexplained. Salient questions need to be asked about what part of our cities and regions are represented and how, and what impact these uneven geographies have on the algorithms and social science research that rely on those data.

The project aims to move forward from isolated analyses of single platforms to a contextualised, integrated understanding of the complex representations created on multiple platforms, and how user-generated content varies through time and space.

The project will:

  • identify specific ontological dimensions of user-generated content (Kitchin and McArdle, 2016), including its geographic representativeness and relevance;
  • conduct a cross-platform analysis of user-generated content and its relationship to socio-demographic data, including multiple platforms;
  • establish the core of a novel data census, i.e. an open spatial dataset that charts the representativeness and salience of user-generated content, which will become a point of reference for analysts and developers on the advantages, biases and limitations of popular sources of big data.

Dr Stefano De Sabbata

Lecturer in Quantitative Geography

School of Geography, Geology and the Environment,

University of Leicester, University Road, Leicester, LE1 7RH, UK

t: +44 (0)116 252 3812

e: s.desabbata@le.ac.uk

w: le.ac.uk/departments/geography/people/stefano-de-sabbata

twitter: @maps4thought

Research Associate

Oxford Internet Institute, University of Oxford

oii.ox.ac.uk/people/desabbata

Information Geographies

Connectivity, Inclusion, and Inequality

Follow us on Twitter or visit our Facebook page

Dr Stefano De Sabbata

Lecturer in Quantitative Geography

School of Geography, Geology and the Environment,

University of Leicester, University Road, Leicester, LE1 7RH, UK

t: +44 (0)116 252 3812

e: s.desabbata@le.ac.uk

w: le.ac.uk/departments/geography/people/stefano-de-sabbata

twitter: @maps4thought

Research Associate

Oxford Internet Institute, University of Oxford

oii.ox.ac.uk/people/desabbata

Information Geographies

Connectivity, Inclusion, and Inequality

Follow us on Twitter or visit our Facebook page

Air pollution geovisualization: PhD / post doc position at U of Helsinki


Post doc or PhD student position on geovisualisation of air quality in MegaSense programme.

UAI Hope project funded by European Commission is hiring a post doc or PhD student depending on the applicants for 3 years to Department of Geosciences and Geography of the University of Helsinki.

The research topic is real-time spatiotemporal modeling and geovisualisation of air quality in Helsinki, green path modeling in city area and research on causes and consequences of air quality. The air quality data is provided by the cooperation partners of the projects. The research of these positions is linked to another PhD thesis project on using imaging data for air quality assessment and development of augmented reality of air quality. The applicant should be experienced in geoinformatics, and programming with R, Python or both.

Cooperation partners within University of Helsinki are Department of Computer Sciences and Institute for Atmospheric and Earth System Research (INAR). The others are City of Helsinki, Forum Virium Helsinki, Vaisala Oyj, Finnish Meteorological Institute, Helsinki Region Environmental Services Authority and Useless Company Oy. More about Hope: https://www.uia-initiative.eu/en/uia-cities/helsinki

The work is part of MegaSense research programme of University of Helsinki, which in addition to air quality research in Helsinki, has activities in China and prospects in other European, Arabic and African cities, for example in Nairobi. https://www.helsinki.fi/en/researchgroups/sensing-and-analytics-of-air-quality/about-megasense

Person should also take part in project meetings and may need to travel abroad. The work would start in January/February, 2019.

Please express your interest by January 18 to Prof. Petri Pellikka, petri.pellikka@helsinki.fi, by sending your cv and reasoning your interest, and expressing your talents.

More information: Petri Pellikka, Earth Change Observation Laboratory, Department of Geosciences and Geography / Institute for Atmospheric and Earth System Research / Helsinki Institute of Sustainability Science. petri.pellikka@helsinki.fi, 358-50-4154701.

https://www.helsinki.fi/en/researchgroups/earth-change-observation-laboratory

https://www.helsinki.fi/en/inar-institute-for-atmospheric-and-earth-system-research

————————————

Petri Pellikka, PhD

Professor of Geoinformatics

Earth Change Observation Laboratory, Department of Geosciences and Geography

Institute for Atmospheric and Earth System Research

University of Helsinki

Twitter: @PetriPellikka

www.helsinki.fi/echolab

Helsinki Institute of Sustainability Science

https://www.helsinki.fi/helsus

Director, Taita Research Station of the University of Helsinki in Kenya

www.helsinki.fi/taita-research-station

POB 64, 00014 University of Helsinki, Finland

tel: +358504154701, e-mail: petri.pellikka@helsinki.f

A-WEAR European Joint Doctorate


Dear colleagues,
The A-WEAR European Joint Doctorate has just begun and we have opened a call for applications. A total of 15 positions are offered to candidates holding a recent Master’s degree. We would like to make you aware that some of the positions offered will especifically address research in positioning and localisation technologies.
Please find below the detailed call for applications.
On behalf of the A-WEAR consortium,
Estefanía and Joaquín
____________________________________________________________________________
Call for Applications – 15 PhD Positions
Marie Marie Sklodowska-Curie EJD, European Joint Doctorate
A-WEAR: A network for dynamic wearable applications with privacy constraints
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
Dear colleagues,
Applications are invited for 15 full-time PhD student positions (called Early Stage Researchers or ESR) for joint and double PhD degrees for 36 months. The positions are offered within the A-WEAR European Joint Doctorate (www.a-wear.eu)
action of the highly appreciated EU-funded Marie Skłodowska Curie grants (grant # 813278).
We offer the possibility of PhD graduation with double or joint PhD certificate from two EU universities (research area is wearable computing). The positions are fully funded for a 36-month period. The applicants can choose their position in one of five top-level universities in Czech Republic, Finland, Italy, Romania, or Spain and complement their experience within periods of up to 15 months of cross-country and industrial secondment by working with the highly committed industrial partners of the action in the above-mentioned countries.
The starting times will be during the Fall 2019. The application deadline is on 28th of February 2019. The results of the selection process are expected to be announced by end of April 2019.
More information below; please check carefully the eligibility conditions:
Please, do not hesitate to contact us for any further clarification at info.a-wear@tut.fi .
___________________
Available Positions
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
ESR1. Energy-efficient edge computing based gateways for wearable networks. Employer: Tampere University, Finland. Double PhD degree with Universita Mediterranea di Reggio Calabria, Italy. http://www.a-wear.eu/recruitment/ESR1.pdf
ESR2. Large-scale crowdsourcing-based wearables data gathering and processing. Employer: Tampere University, Finland. Joint PhD degree with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR2.pdf
ESR3. Privacy-aware approaches for wireless IoT localization on wearable devices. Employer: Tampere University, Finland.  Double PhD degree with University “Politehnica” of Bucharest, Romania. http://www.a-wear.eu/recruitment/ESR3.pdf
ESR4. 5G and mmWave capabilities in wearable applications. Employer: Tampere University, Finland. Joint PhD degree with Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR4.pdf
ESR5. Cloud Platform for context-adaptive positioning and localization on wearable devices. Employer: Universitat Jaume I, Spain. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR5.pdf
 
ESR6. Collaborative techniques for infrastructureless Indoor Positioning Systems. Employer: Universitat Jaume I, Spain. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR6.pdf
ESR7. Urban Mobility: balancing usefulness and privacy. Employer: Universitat Jaume I, Spain. Joint PhD degree with Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR7.pdf
ESR8. Centimeter level accuracy for IoT localization of wearable devices. Employer: University “Politehnica” of Bucharest, Romania. Double PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR8.pdf
ESR9. Industrial wearables for work safety. Employer: University “Politehnica” of Bucharest, Romania. Double PhD degree with  Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR9.pdf
ESR10. Wearables for ehealth. University “Politehnica” of Bucharest, Romania. Double PhD degree with Universita Mediterranea di Reggio Calabria, Italy. http://www.a-wear.eu/recruitment/ESR10.pdf
ESR11. Low latency machine learning and data mining for wearable devices. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR11.pdf
ESR12. Reliable and low-latency communication technologies for industrial wearable applications. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR12.pdf
ESR13. Privacy-enhancing technologies and privacy-enhancing cryptography for wearables. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR13.pdf
ESR14. Social-aware discovery and data exchange among IoT devices over Edge Computing platforms. Employer: Universita Mediterranea di Reggio Calabria, Italy. Double PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR14.pdf
ESR15. New Architecture, communication and networking protocols for supporting 5G-IoT wearable devices connectivity. Employer: Universita Mediterranea di Reggio Calabria, Italy. Double PhD degree with with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR15.pdf
 
 
Estefanía Aguilar Moreno

Institute of New Imaging Technologies (INIT) www.init.uji.es
Geospatial Technologies Research Group www.geotec.uji.es  // @geotecUJI
Espaitec 2, 5th floor
Office UB-1518
Phone +34 964 387686
Universitat Jaume I, E-12006, Castellón de la Plana, Spain

UMN – Department of Forest Resources


We in the Department of Forest Resources are recruiting a new remote sensing faculty member. This is a full time, nine month, tenure track assistant professor position. The position description is attached, and can also be viewed here: https://hr.myu.umn.edu/jobs/ext/328226. Note that we plan to begin reviewing applications at the end of this month.

I’d appreciate your help in giving this the widest possible distribution. Please forward to those potentially interested.

Thank you,

Joe

-- 
Joe Knight
Associate Professor
Director, Remote Sensing and Geospatial Analysis Lab
Director of Undergraduate Studies, ESPM Major 
Department of Forest Resources
University of Minnesota
Saint Paul, MN 55108
Tel: 612-625-5354
Web: rs.umn.edu, knightlab.org
Skype: Joe_Knight_UMN
Twitter: @JoeKnightUMN, @umnuas
Instagram: @umnuas

Full-time PhD position (2019-2022)


Overview of the position

We are looking for a PhD student who will join the Social and Economic Geography (SEG) research group at the Geography Department of Ghent University. The appointed PhD student will work on the project titled “The happy commuter. A life-oriented approach of commuting satisfaction”, funded by the Research Foundation – Flanders (FWO) and supervised by prof. Frank Witlox and dr. Jonas De Vos. This PhD position is part of a joint project together with the Luxembourg Institute of Socio-Economic Research (LISER), where dr. Veronique Van Acker supervises the project. We are seeking a candidate for a 4-year term. At Ghent University the PhD student will work at one of the leading universities in Western Europe. The SEG research group has conducted high-quality research on travel behaviour over the past years, collaborating intensively with experts in the field from universities abroad.

Project summary

In order to understand commuting satisfaction and how it changes over time, this project will use a life-oriented approach. This approach is based on a life course research design of mobility behaviour while also paying attention to the interaction with other life domains such as residential environment, employment and time use. Such a longitudinal research design adds a dynamic layer to the presently-dominant static interpretation of commuting satisfaction. The project will evaluate the interaction between commuting satisfaction and the decision to move to another residential location or to change workplaces.

Required qualifications

– MSc degree in Geography (and broader social sciences), Spatial planning, Transport planning/ engineering, or related field

– Excellent written and oral communication in English

– Knowledge of Dutch is an asset, but not a requirement

– Knowledge of statistical analyses (e.g., SPSS, AMOS), and GIS applications and techniques are an asset

– Familiarity with travel behaviour literature is an asset

Conditions of employment

We offer a full-time position (38 hours/week) for a period of four years (2 + 2 years). The net monthly salary is € 1897.76 minimum (depending on experience) + benefits. Employees of Ghent University have 39 days of (paid) leave per year. The PhD student will have office space at Ghent University’s campus “Sterre”. Ghent University is an equal employer institute.

Application instructions

All individuals interested in this position must submit a motivation letter and CV (in PDF) to prof. Frank Witlox (frank.witlox@ugent.be) and dr. Jonas De Vos (jonas.devos@ugent.be) by January 31th, 2019. The appointed PhD student is expected to start April 2019.

Disclaimer: This message has been sent to you because of your interest in this research domain. If, however, you do not want to receive any of my emails in the future, then send me a mail(nico.vandeweghe@ugent.be) with the subject “remove/opt-out”.

Nico Van de Weghe

Professor in Geomatics

T +32 9 264 47 12

Department of Geography

Research group CartoGIS

Campus Sterre, S8, Krijgslaan 281, B-9000 Ghent, Belgium (Office location)

Postdoc in Question-based Analysis of Geographic Information with Semantic Queries


Job description
https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4124&VacatureID=1012431

In the age of big data, geographic information has become a central means for data scientists of various disciplines to embed their analysis into a spatio-temporal context, from human mobility patterns and social inequality to the investigation of personal health. However, as the variety of data sources and software available on the Web increases, it becomes more and more impossible to comprehend and utilize all tools and data available to answer geo-analytical questions. Hence, whenever a functionality is needed but not available in one tool, analysts are forced to reformulate their questions in terms of technicalities of another tool or other datasets. This procedure does not scale with the increasing variety of geo-analytic sources on the web, preventing analysts from tapping its full potential. Consider, in contrast, how easy it is for a user of a digital smartphone assistant such as Amazon’s Alexa to ask a question like “What is the weather today?” and get back an answer from the Web. It would mean a tremendous breakthrough if analysts could similarly ask questions in order to get the tools and data required to answer them. Unfortunately, geo-analytic technology currently cannot handle questions.

To realize this vision, it is necessary to understand how geo-analytic resources can be captured with the questions they answer. The QuAnGIS project, a 5-year research project at Utrecht University, starting in January 2019 funded by the European Research Commission (ERC), develops a theory about interrogative spatial concepts needed to turn geo-analytical questions into a machine-readable form using Semantic Web and Question-Answering (QA) technology. Concepts include “spatial core concepts” field, object, network, event (Kuhn 2012), as well as analytical concepts such as accessibility, exposure, density, distance and aggregation. In this form, questions can be matched with the capacity of major analytical GIS tools and data sources on the Web.

We are looking for an experienced Researcher in order to cope with the conceptual as well as computational challenges involved and to help guide the project team (2 PhD candidates and a technician) together with the project leader. The Postdoc is responsible for developing technology to match spatial questions in the form of semantic queries with descriptions of geospatial tools and data sources. This is the central computational mechanism of the developed technology stack.

The Postdoc will work on the following topics:
• help develop a gold standard of question-answers in geospatial analysis for evaluation;
• develop tractable query language (SPARQL) subsets for query matching;
• develop matching algorithms and reasoning technology for matching questions and tools;
• evaluate question matching on gold standard;
• help perform user study for evaluating technology stack.

Tasks of the Postdoc consist of (but are not limited to):
• conducting and spurring scientific research in the fields of Geospatial Semantics, Geographic Information Science, Ontology Engineering, or Semantic Web relevant to handling spatial questions and analytic resources;
• collection of data for developing a gold standard of question-answers as well as analytic (web) resources for geospatial analysis (filling web repository with content);
• perform user studies for specifying test scenarios and for testing the technology stack, including the matching algorithm, the question formulation interface as well as the tool/data repository with geospatial analysts;
• publication of results in scientific journals and presentation in high quality international conferences in these fields;
• organizing multi-stakeholder meetings and workshops to test and discuss the technology;
• to develop teaching skills, researchers in the project are expected to contribute to the teaching programme of the Department of Human Geography and Spatial Planning to a limited degree (up to 10%).

Qualifications
We are looking for a candidate with an excellent track record in Information Science or the Semantic Web, with a strong interest in thinking about data semantics as well as geographic analytics and appropriate technology and who thrives when working in interdisciplinary settings.

We encourage you to apply if you:
• have a relevant background in Geographic Information Science, Computer Science, or another field related to question-based computation and data analysis;
• have a strong track record in the Semantic Web, Geospatial Analysis or in Semantics;
• have demonstrated experience in application development for Semantic Web reasoning or in algorithmic data matching and querying;
• have experience in conducting scientific research leading to high-quality publications;
• are willing to explore options for grant writing to acquire additional projects in this area (including personal grants);
• have a good (international) research network;
• are a team player;
• have the willingness to teach for up to 10% of your time;
• are proficient in both written and spoken English.

You are expected to:
• start with the project in February or later in 2019;
• meet the goals and deadlines as set out in the project proposal.

Offer
You will initially be offered a temporary position for a period of one year (0.8 FTE). Depending on good performance, the contract may be extended to a total period of four years. The gross salary – depending on previous qualifications and experience – ranges between €3,123 and € 4,274,- gross per month for a full-time employment (scale 10 Collective Labour Agreement Dutch Universities as of February 2019). Salaries are supplemented with a holiday bonus of 8 % and a year-end bonus of 8.3 % per year. We offer a pension scheme, (partly paid) parental leave, collective insurance schemes and flexible employment conditions (multiple choice model).

Facilities for sports and child care are available on our main campus (where the Department is situated), which is located only 15 minutes away from the historical city center of Utrecht.

About the organization
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.

The city of Utrecht is one of the oldest cities in the Netherlands, with a charming old centre and an internationally oriented culture that is strongly influenced by its century-old university. Utrecht city has been consistently ranked as one of the most liveable cities in the Netherlands.

The Faculty of Geosciences conducts education and research concerning the geosphere, biosphere, atmosphere and anthroposphere. With a complement of 2,600 students (BSc and MSc) and 600 staff, the Faculty is a strong organisation. The Faculty is organised in four Departments: Innovation, Environmental & Energy Sciences, Earth Sciences, Physical Geography, and Human Geography & Spatial Planning.

The Department of Human Geography and Spatial Planning has its focus on the enhancement of long-term economic developments of cities, how to cope with social inequalities and how to ensure a healthy urban living. Research on these topics takes place within our research programme “Urban Futures: Transitions Towards Economic and Social Sustainability for Cities”.

Our research programme is the basis for our Research Master Human Geography and Geographical Information Management and Applications (GIMA) and Professional Master in Human Geography, International Development Studies and Spatial Planning. The Department runs also a large and highly appreciated Bachelor Programme and is part of the Netherlands Graduate School of Urban and Regional Research for PhD candidates.

The project team is part of a new Geographic Information Methods (GIM) interest group within the Social Urban Transitions (SUT) research programme in the Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University. It is linked to the Healthy Urban Living research group comprising a wide variety of researchers, for instance with backgrounds in transport Geography, Epidemiology, Urban Geography, and Health Sciences. It is also linked to the Vitality Data Centre, a project involving data scientists and researchers interested in methods for assessing physical activity and health.

Additional information
Additional information about the vacancy can be obtained from Dr. Simon Scheider via s.scheider@uu.nl.
Apply
To apply, please use the button below and attach a letter of motivation, curriculum vitae (both English) and e-mail address of at least one referee.

Apply before December 9, 2018. Interviews will be held in January 2018. The candidate is expected to start in February 2018 or later.

The application deadline is
09/12/2018

2 PhD positions in Question-based Analysis of Geographic Information with Semantic Queries


Job description
https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4124&VacatureID=1012444

In the age of big data, geographic information has become a central means for data scientists of various disciplines to embed their analysis into a spatio-temporal context, from human mobility patterns and social inequality to the investigation of personal health. However, as the variety of data sources and software available on the Web increases, it becomes more and more impossible to comprehend and utilize all tools and data available to answer geo-analytical questions. Hence, whenever a functionality is needed but not available in one tool, analysts are forced to reformulate their questions in terms of technicalities of another tool or other datasets. This procedure does not scale with the increasing variety of geo-analytic sources on the web, preventing analysts from tapping its full potential. Consider, in contrast, how easy it is for a user of a digital smartphone assistant such as Amazon’s Alexa to ask a question like “What is the weather today?” and get back an answer from the Web. It would mean a tremendous breakthrough if analysts could similarly ask questions in order to get the tools and data required to answer them. Unfortunately, geo-analytic technology currently cannot handle questions.

To realize this vision, it is necessary to understand how geo-analytic resources can be captured with the questions they answer. The QuAnGIS project, a 5-year research project at Utrecht University, starting in January 2019 funded by the European Research Commission (ERC), develops a theory about interrogative spatial concepts needed to turn geo-analytical questions into a machine-readable form using Semantic Web and Question-Answering (QA) technology. Concepts include “spatial core concepts” field, object, network, event (Kuhn 2012), as well as analytical concepts such as accessibility, exposure, density, distance and aggregation. In this form, questions can be matched with the capacity of major analytical GIS tools and data sources on the Web.

The 2 PhD positions in this project focus on the semantic concepts required and the information technology needed to enable GIS analysts to formulate questions and to retrieve resources for analysis. This involves the following two questions:

  • PhD 1: How can geo-analytical questions be captured in terms of semantic queries in a machine readable way? This involves an ontological investigation into spatial concepts and geo-analytical questions in project scenarios and literature, into the expressiveness of query languages, as well as into technical interfaces to let users formulate spatial questions for analysis.
  • PhD 2: How can the intention of geo-analytical resources (data and tools) be described in terms of the questions they answer? This involves an investigation into GIS tools and their functionality in terms of spatial concepts, as well as standard web data sources, and how both can be linked using semantic concepts. The purpose is to build an integrated extensible Web repository about analytical tools and data sources.

Important tasks of the PhD candidates are:

  • conducting scientific research in the fields of Geospatial Semantics, Geographic Information Science, Ontology Engineering, and Semantic Web relevant to handling spatial questions and analytic resources;
  • collection and semantic description of geographic information scenarios for developing a gold standard of question-answers as well as analytic (web) resources for geospatial analysis (filling web repository with content);
  • perform user studies for specifying test scenarios and for testing both the question formulation interface as well as the tool/data repository with geospatial analysts;
  • publication of results in scientific journals and presentation in high quality international conferences in these fields;
  • organizing multi-stakeholder meetings and workshops to test and discuss the technology;
  • to develop teaching skills, students are also expected to contribute to the teaching programme of the Department of Human Geography and Spatial Planning to a limited degree (up to 10%).

Your responsibilities are:

  • start with the project in February or later in 2019;
  • meet the goals/deadlines as set out in the project proposal;
  • complete a PhD thesis within the 4-year contract period.
Qualifications
We seek 2 highly motivated PhD candidates who have a strong interest in thinking about data semantics as well as geographic analytics and appropriate technology.

They should have:

  • a MSc degree in Geographic Information, Computer Science, Data Science or Geography;
  • analytical skills and interest in geographic data analysis;
  • strong scientific writing skills;
  • interest in academic theory development and abstraction as well as theory application;
  • affinity with scientific research in Geospatial Semantics, GIScience or Semantic Web;
  • experience with Semantic Web technology, GIS technology or Data Science technology;
  • experience with Web data sources and corresponding APIs, such as OSM;
  • solid abilities in programming and application development are needed. Experience in Web programming, Semantic Web development or Machine Learning is a bonus;
  • independent, pro-active working style;
  • motivation to work in an international team;
  • excellent communication skills (written and verbally) in English.
Offer
You will initially be offered a full-time position for the duration of one year. Upon a good performance the contract will be extended to a total period of four years, with the specific intent that it results in a doctorate within this period.

The gross monthly salary starts at €2,266 in the first year, and ends at €2,897 in the fourth year (scale P Collective Labour Agreement Dutch Universities). The salary is supplemented with a holiday allowance of 8% per year and an end-of-year bonus of 8.3%. In addition, we offer a pension scheme, collective insurance schemes and flexible employment conditions.

Facilities for sports and child care are available on our main campus (where the Department of Human Geography and Spatial Planning is situated), which is located only 15 minutes away from the historical city centre of Utrecht.

About the organization
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.​_

The city of Utrecht is one of the oldest cities in the Netherlands, with a charming old centre and an internationally oriented culture that is strongly influenced by its century-old university. Utrecht city has been consistently ranked as one of the most liveable cities in the Netherlands.

The Faculty of Geosciences conducts education and research concerning the geosphere, biosphere, atmosphere and anthroposphere. With a complement of 2,600 students (BSc and MSc) and 600 staff, the Faculty is a strong organisation. The Faculty is organised in four Departments: Innovation, Environmental & Energy Sciences, Earth Sciences, Physical Geography, and Human Geography & Spatial Planning.

The Department of Human Geography and Spatial Planning has its focus on the enhancement of long-term economic developments of cities, how to cope with social inequalities and how to ensure a healthy urban living. Research on these topics takes place within our research programme “Urban Futures: Transitions Towards Economic and Social Sustainability for Cities”.

Our research programme is the basis for our Research Master Human Geography and Geographical Information Management and Applications (GIMA) and Professional Master in Human Geography, International Development Studies and Spatial Planning. The Department runs also a large and highly appreciated Bachelor Programme and is part of the Netherlands Graduate School of Urban and Regional Research for PhD candidates.

The project team is part of a new Geographic Information Methods (GIM) interest group within the Social Urban Transitions (SUT) research programme in the Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University. It is linked to the Healthy Urban Living research group comprising a wide variety of researchers, for instance with backgrounds in transport Geography, Epidemiology, Urban Geography, and Health Sciences. It is also linked to the Vitality Data Centre, a project involving data scientists and researchers interested in methods for assessing physical activity and health.

Additional information
Additional information about the vacancy can be obtained from Dr. Simon Scheider via s.scheider@uu.nl.
Apply
To apply, please use the button below and attach a letter of motivation, curriculum vitae (in English) and e-mail address of at least one referee.

In your motivation letter, please indicate your priority with respect to the two PhD topics.

Apply before December 7, 2018. Interviews will be held in January 2018. The candidate is expected to start in February 2018 or later.

The application deadline is
09/12/2018

Researcher in GIS, Lund University


Lund University GIS Centre at the Department of Physical Geography and
Ecosystem Science is one of the World’s leading centers in the field of
Geographical Information Science. Besides strong scientific networks in
Sweden, the centre has large international networks in Europe, USA,
Australia, Africa, Middle East, and Central Asia. GIS Centre has been
involved in several national and international projects funded or
supported by e.g EU, Swedish research agencies, and international
organizations such as WHO. The GIS Center is going to expand its
research activities in the area of processing and analysis of VGI as
well as social media data. The aim of this call is to employ a
researcher with a very high scientific competence to join our research
group and increase the quality of research by producing more/better results.

We are looking for a person who is driven, can structure and organize
his or her own work, a person who is patient, flexible, and who is
social and communicative. He or she should have the intention to work in
group, share and discuss his/her ideas, knowledge and achievements with
the group and to be helpful to the group members.

For more information visit:
https://lu.mynetworkglobal.com/en/what:job/jobID:231414/


Ali Mansourian (PhD)
Associate Professor (Docent)
Lund University GIS Center &
Department of Physical Geography and Ecosystem Science
Lund University, Sweden
Phone: +46 46 222 1733
Mobile: +46 720 108 096
http://www.nateko.lu.se/ali-mansourian
Invoice address: Sölvegatan 12, SE-22362 Lund, Sweden
Visiting Address: Sölvegatan 10, SE-22362 Lund, Sweden

Assistant Professor in GIS at UCONN


The Department of Geography at the University of Connecticut, Storrs seeks an outstanding scholar to fill a tenure-track position at the Assistant Professor level in Geographic Information Science (GIScience) with an expected start date of August 2019. We are seeking applicants who specialize in spatial data science with a focus on one or more areas, viz., Geovisualization (e.g. webGIS, digital cartography, visualization of large, complex, and multidimensional geospatial and movement data) and Analytics and Modeling (e.g., advanced spatial modeling, space-time analytics, spatial interaction, network analysis, data mining). We particularly welcome applicants who are able to strengthen our existing research cluster of Geographic Information Science and Systems and complement other clusters of Spatial Analysis of Social Issues, Earth System Dynamics, and Human-Environment Dynamics by critically applying GIScience methods. More details on the research clusters can be found at https://geography.uconn.edu/people/clusters  Successful candidates will have the opportunity to teach advanced courses in GIScience such as Geovisualization, Cartography, WebGIS, GIS programming, data mining, big data analytics, and other courses in their area of specialization.

The University of Connecticut (UConn) is in the midst of a transformational period of growth supported by the $1.7B Next Generation Connecticut (http://nextgenct.uconn.edu/), the $1B Bioscience Connecticut (http://biosciencect.uchc.edu/) investments, and a bold new Academic Plan: Path to Excellence. The Department of Geography has 18 faculty and is poised to expand further as the University of Connecticut consolidates its position as the best public university in New England and one of the top 20 public universities nationwide. The University of Connecticut offers excellent opportunities and resources such as high performance computing (https://hpc.uconn.edu/) for interdisciplinary collaborative research with the School of  Engineering, Department of Statistics, College of Agriculture, Health and Natural Resources, School of Business, Digital Humanities and Media Studies, Center for Environmental Science and Engineering, and Institute for Collaboration on Health, Intervention, and Policy.

MINIMUM QUALIFICATIONS

The successful candidate will have a PhD in Geography or a related discipline by August 23, 2019; a proven record of excellence in teaching; demonstrated potential in establishing a successful research and scholarship program; and a deep commitment to promoting diversity through an academic or research program.

PREFERRED QUALIFICATIONS

The successful candidate will be expected to establish and maintain a strong program of research and publication in GIScience and to develop a robust, externally funded research portfolio that advances the candidate’s research as well as the mission of the Department of Geography. The successful candidate will teach undergraduate and graduate courses in GIScience and take an active role in bringing currency and creativity to the development of the curriculum. The successful candidate will also demonstrate an ability to mentor graduate and undergraduate students, to participate in outreach activities, and to contribute in meaningful ways to the diversity and intercultural goals of the University.

APPOINTMENT TERMS

This is a full-time 9-month tenure-track position. The successful candidate’s appointment will be at the Storrs campus. Salary is competitive based on experience and qualifications.

TO APPLY

Go to https://academicjobsonline.org/ajo/jobs/12621. Select “Apply” to be redirected to Academic Jobs Online to complete your application. Please submit a curriculum vitaeletter of applicationstatement of research and teaching interests, and two samples of publications. Follow the instructions in Academic Jobs Online to direct three reference writers to submit letters of reference on your behalf. For questions, please contact Debs Ghosh at debarchana.ghosh@uconn.edu and/or Chuanrong (Cindy) Zhang at cindy.zhang@uconn.edu. Review of applications will begin January 1, 2019 and continue until the position is filled. The University of Connecticut encourages minorities, women, and people with disabilities to apply for this position. For more information regarding the Department of Geography please visit the department website at https://geography.uconn.edu/.

Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check.  (Search 2019182). This position will be filled subject to budgetary approval. All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp

You can also find the job link here: https://academicjobsonline.org/ajo/jobs/12621

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Chuanrong (Cindy) Zhang

Professor and Department Head

Department of Geography

Center for Environmental Sciences and Engineering

University of Connecticut

215 Glenbrook Rd., Unit 4148

Storrs, CT 06269-4148

Phone: 860-486-3656

Website: http://geography.uconn.edu/people/faculty/cindy-zhang/