Master EM in Geospatial Technologies – call for scholarship students


Dear all,

The call for scholarship students in our Erasmus Mundus Master in Geospatial Technologies for the academic course 2018-2019 is now open – over 20 scholarships are available.

The Erasmus Mundus Master in Geospatial Technologies – recognized as the second best master’s degree in Technology in 2017 by the El Mundo ranking and endorsed by the European Commission as one of the most excellent programs in Europe – is an official 90 ECTS master’s course taught in English and it is a joint degree organised by the Universitat Jaume I (Spain), the Nova Lisboa University (Portugal) and the University of Münster (Germany).

Students will go through subjects related to geospatial data analysis and visualization, geographic information systems, geospatial (web) services, mobile and web-based applications, among others, which will give them the opportunity to expand their knowledge towards such an interdisciplinary area as geospatial technologies and geoinformation.

Throughout its existence (call open for 12th edition) the Master has had international teaching staff and has welcomed students from all continents, giving graduate students from over the world the chance to study in an European multicultural atmosphere and, on the top of it fully funded!!

Application period will end on January 15th, 2018.

We are waiting to have you on board!!

http://mastergeotech.info/
https://www.facebook.com/mastergeotech/
@mastergeotech

Graduate Research Opportunities in GIScience and GIS at the University of California, Santa Barbara


Graduate Research Opportunities in GIScience and GIS

http://giscience.geog.ucsb.edu/

The Department of Geography at the University of California, Santa Barbara invites graduate student applications for MA/Ph.D. and Ph.D. positions in the areas of modeling, measurement, and computation. The department is internationally recognized for its excellence and leadership in Geographic Information Science (GIScience) and Geographic Information Systems (GIS). Students work in a dynamic, collaborative, and well-funded setting on projects supported by NSF, NASA, USGS, NGA, other government agencies as well as by major industry players. Graduates of the program obtain high-level jobs in industry, government, and academia, including professorships in other top departments. In addition to frequent and fruitful collaborations across GIScience labs within the department, students also have opportunities to interact with faculty and peers across campus through the interdisciplinary emphases in Cognitive Science, Information Technology and Society, Network Science, and Quantitative Methods in the Social Sciences. The Center for Spatial Studies offers students a unique opportunity to participate in interdisciplinary research, seminars, and workshops, while the Spatiotemporal Innovation Center connects students and faculty with leading industry players.

Faculty members involved in UCSB’s GIScience/GIS research include:

  • Richard Church: Spatial Optimization, Natural Resources Management, Operations Research Methods, and GIS
  • Keith Clarke: Cartography and GIS
  • Kostas Goulias: Transportation Systems Modeling and Simulation, Travel Behavior, Transportation Planning, Sustainable Transportation, Geographic Information Science, Economic Geography, and Survey Methods
  • Krzysztof Janowicz: GIScience & GIS, Spatial Data Science, Semantic Web, Linked Data, Location-based Social Networks, Geographic Information Retrieval, Cyberinfrastructure, and Web Science,
  • Werner Kuhn: Information Science, Usability of GIS and Spatial Information, Semantics of Spatial Information, Ontology of the Environment, Linked Data, and Semantic Reference Systems
  • Dan Montello: Spatial Perception, Cognition, and Behavior; Cognitive Issues in Cartography and GIS; Spatial Aspects of Social Behavior; Environmental Psychology and Behavioral Geography
  • Alan Murray: Location Analytics, GIScience, Geocoding, GIS, Data Uncertainty, Urban and Regional Planning, Spatial Optimization, Transportation and Sustainability

A top-ranked geography program nationally, the department is comprised of 26 faculty, 8 active emeriti faculty including National Academy of Sciences members Waldo Tobler and Michael Goodchild, 20 researchers, 125 graduate students, and 12 staff. They investigate a broad range of human, social and physical geographic topics on regional to global scales using methods including mathematical, theoretical and stochastic analyses, conceptual, statistical and dynamical numerical models, and field experimentation. Primary research areas aside of GIScience include: terrestrial, ocean, atmospheric and climate, population and public health, urban and regional, cognitive and behavioral. Complementing the department’s GIScience and GIS group are faculty specializing in remote sensing and numerical modeling.

The department offers highly competitive five-year funding packages, modern offices and shared labs with state-of-the-art equipment and access to high-performance computing, as well as generous travel funding for international conferences and other meetings; see here. Further details about the program, graduate research and teaching positions, as well as housing can be found in the graduate student handbook. The application deadline is December 15, 2017, for admission in Fall 2018.

For questions about faculty interests and topical areas, please visit https://geog.ucsb.edu/. Further information regarding the application process is available via the admissions page.

—  Krzysztof Janowicz Geography Department, University of California, Santa Barbara  4830 Ellison Hall, Santa Barbara, CA 93106-4060   Email: jano@geog.ucsb.eduWebpage: http://geog.ucsb.edu/~jano/Semantic Web Journal: http://www.semantic-web-journal.net

PhD student position at Uni Zurich, human-centered mobile indoor navigation guidance


We have an opening for a fully funded PhD student position in the areas of location-based services and indoor navigation. This PhD project aims to develop a methodology and computational model to provide human-centered navigation guidance to aid wayfinding in complex indoor environments. The deadline for applications is 1 December 2017.
It would be great if you could pass on this position announcement to potentially interested persons, using the attached PDF or the following URL: http://tiny.uzh.ch/Lp
Thanks, and best wishes,
Haosheng Huang (haosheng.huang@geo.uzh.ch)
Open PhD student position, human-centered mobile indoor navigation guidance
The GIScience Center at the Department of Geography, University of Zurich (UZH) invites applications for a PhD studentship in the areas of location-based services and indoor navigation. The position will start on 01 April 2018, or as soon as possible thereafter. The successful candidate will be hired on a 1-year scholarship, which will be extended to the nominal 4-year PhD period after positive evaluation. Salary is commensurate with the pay scale of the Swiss National Science Foundation. The PhD student will be working under the supervision of Dr. Haosheng Huang with support from Prof. Dr. Robert Weibel, and hosted in the GIS Unit, which is part of the GIScience Center at the University of Zurich. This PhD project aims to develop a methodology and computational model to provide human-centered navigation guidance to aid wayfinding in complex indoor environments. Empirical studies will be employed to examine how people find their ways in indoor environments, and understand their information needs during indoor wayfinding. These empirical findings will then be computationally formalized and implemented to enable mobile indoor navigation systems to automatically generate wayfinding instructions equivalent to what humans would give. Possible improvements to the existing indoor data models will be made. A clear set of initial research goals has been identified, but the successful candidate will be expected to develop and refine these further. The GIScience Center hosts several research groups working on diverse topics including location-based services, digital cartography, movement analysis, language and space, geographic information retrieval, uncertainty modeling, geovisual analytics, and spatial cognition.
For more information, see http://www.geo.uzh.ch/gis.
We are looking for a highly motivated, independent person with a passion for science. We offer outstanding working conditions, a stimulating environment, and the high quality of life in Zurich. Applicants are required to have completed a Masters level degree in a relevant field such as geographic information science (GIScience), computer science, or geomatics. The PhD project will employ both empirical and computational methods. Familiarity with research in GIScience and computer science, in particular locationbased services, data modelling, spatial cognition, and mobile human-computer interaction will be an advantage. Basic programming skills, as well as a willingness to develop these further are a prerequisite. Experience in web and mobile application development is considered a plus. You will also have a very good standard of written and spoken English.
Send your curriculum vitae, a motivation letter, academic transcripts, and the contact details of two referees in a single PDF document, and with subject “PhDIndoorLBS”, to Bettina Schädle at bettina.schaedle@geo.uzh.ch, by 01 December 2017.
For informal thematic inquiries about this position, please contact Dr. Haosheng Huang, Email: haosheng.huang@geo.uzh.ch (subject: PhDIndoorLBS), or by phone: +41-44-63-56534.

Ph.D. Assistantships in Geospatial Analytics at NC State


The cutting-edge Ph.D. program in Geospatial Analytics (go.ncsu.edu/geospatial-phd) at North Carolina State University’s Center for Geospatial Analytics (geospatial.ncsu.edu) is now accepting applications for Fall 2018 enrollment. Twelve fully funded graduate assistantships with $25,000 salary, benefits, and tuition support are available. The application deadline is February 1, 2018.

The Center for Geospatial Analytics at NC State is an internationally recognized collaborative hub for interdisciplinary data scientists advancing novel understanding of spatial phenomena and applying new knowledge to grand challenges. Ph.D. students will receive multidisciplinary advising and the opportunity to work with over twenty faculty fellows with diverse expertise from nearly a dozen departments across NC State. Students with backgrounds in quantitative methods in geography, geomatics, informatics, and remote sensing are strongly encouraged to apply. We welcome students interested in pushing the boundaries of geospatial analytics and technology from a variety of perspectives, including design, cognitive science, natural resources and the environment, computer science, engineering, and more. Faculty at the center develop and apply innovative techniques that include tangible user interfaces and 3D visualizations, novel remote sensing and image processing algorithms, open source software solutions, dynamic spatio-temporal modeling, participatory research with stakeholders, and citizen science.

NC State’s unique graduate program in Geospatial Analytics also includes an off-campus professional internship within government (local, state, federal), industry, nonprofit, private, or academic research organizations. Additional details and complete application instructions are available at go.ncsu.edu/geospatial-phd. Interested students are also encouraged to contact Rachel Kasten, Graduate Services Coordinator (rachelkasten@ncsu.edu or 919-515-2800), with any questions.

Ross K. Meentemeyer, Professor

Director | Center for Geospatial Analytics

Chair | GIST Faculty

 

 

Chancellor’s Faculty Excellence Program in Geospatial Analytics

Department of Forestry and Environmental Resources

College of Natural Resources

Jordan Hall 5106 | Campus Box 7106

North Carolina State University

2800 Faucette Dr.

Raleigh, NC 27695 USA

 

rkmeente@ncsu.edu | 919-513-2372 | geospatial.ncsu.edu

 

Graduate student opportunities in GIScience at the University of Minnesota


Graduate student opportunities in GIScience in the Department of Geography, Society, and Environment at the University of Minnesota

NOW RECRUITING MGIS, MA AND PHD STUDENTS

The Department of Geography, Society, and Environment at the University of Minnesota invites students to apply for MA and PhD positions in Geography with a specialization in Geographic Information Science (GIScience). The department also offers a two-year professional Masters of GIS (MGIS).

The department offers all MA or PhD students a very competitive funding package that will cover a standard progression of four to five years for the PhD. The application deadline is December 15, 2017 for admission in fall 2018. The Department of Geography, Society, and Environment at the University of Minnesota has long been a center of innovative work in Geographic Information Science. We have made several recent hires and now have eight full-time faculty/staff members who provide breadth and depth in GIScience concepts and practice.

  • Somayeh Dodge: movement analytics and modeling, advanced visualization.
  • Kathryn Grace: quantitative/mixed methods in health and population geography
  • Mark Lindberg: cartography, quantitative analysis, and computation
  • Steven Manson: big data and spatial modeling of complex human-environment systems
  • Robert McMaster: cartography, generalization, and GIS and society
  • Susanna McMaster: professional GIS education, cartography, and spatial analysis
  • Eric Shook: big data, high performance computing, health, and population
  • Ying Song: spatial analysis and visualization of movement, human mobility and transportation

Graduate students have many opportunities to work with community experts who offer hand-ons classes in topics including programming, web mapping, spatial databases, and surveying. You can find more information about GIScience in the department at http://spatial.umn.edu/. More broadly, the University of Minnesota has deep expertise in all matters spatial, with over a hundred faculty working in spatial science and hundreds more working in spatial areas. See http://uspatial.umn.edu/ for more information on the many people, labs, and projects working in GIScience.

The Department of Geography, Society, and Environment at the University of Minnesota is internationally recognized and includes scholars working in GIScience, urban geography, globalization and development, nature-society studies, regional geography, climatology, paleoclimatology, and biogeography. The University of Minnesota is a world-class university that offers students access to a wide array of faculty and departments. The metropolitan area of Minneapolis-St. Paul has a population of over three million people and supports thriving arts and cultural communities.

For questions about faculty interests and topical areas, see http://spatial.umn.edu/. Information on applying is found at https://cla.umn.edu/geography/graduate. The professional MGIS program has information on applying at http://cla.umn.edu/mgis. For questions about the MA/PhD application process, contact the Graduate Program Coordinator, Sara Braun (geog@umn.edu, +1 612 625-6080). Questions about the MGIS program should be directed to Susanna McMaster (mcmas002@umn.edu).


Eric Shook
Vice Chair for Education, UCGIS
Domain Champion for GIS, XSEDE
Section Editor, ‘Computing Platforms’ Knowledge Area, UCGIS Body of Knowledge
Assistant Professor, Department of Geography, Environment, and Society
University of Minnesota
eshook@umn.edu

University of Iowa are accepting applications for MS/PhD or PhD degrees


Department of Geographical and Sustainability Sciences, and the interdisciplinary graduate program in Geoinformatics at the University of Iowa are accepting applications for MS/PhD or PhD degrees starting from Fall 2018. Graduate teaching and research fellowships, and assistantships will be available for these positions.

 

I am particularly interested in recruiting students with research interests in areas such as:

  • Spatial network analysis (e.g., network measures, community detection, spatial interaction modeling, diffusion models)
  • Spatial data mining (e.g., clustering, association rule mining, classification, machine learning, and deep learning for object classification)
  • Geovisual analytics and human computer interaction (e.g., interactive cartography, flow mapping, coordinated views, utility and usability evaluation)
  • Big data analytics for social media and networking applications (e.g., natural language processing, topic modeling, sentiment analysis)
  • High performance computing, Hadoop, and big data storage systems (MongoDB)
  • Application areas such as human migration and mobility, geographically-embedded social networks (e.g., interpersonal communication, family tree), patient mobility, human communication, transportation, and energy networks; movement and pass networks in sports (e.g., soccer, basketball); analysis of social media data

 

In addition to the above research interests, students should have, or be interested in developing, ability in:

 

  • Programming in a high level language such as Java, C++, or Python;
  • Statistical computing software such as R or Matlab
  • GIS Software such as ArcGIS or QGIS.
  • Database management system software such as Postgresql, PostGIS, and MongoDB
  • English Proficiency (TOEFL)

 

The application deadline is 01 Jan, 2018. Candidates should contact caglar-koylu@uiowa.edu indicating their interest in one of the programs along with their research interests and CV. Competitive students will be invited for a Skype interview.

 

Upon admittance you will be a member of the Geo-Social Lab, which is home to research projects aimed at developing innovative computational and visualization tools to better understand and analyze massive and complex geo-social networks. The Geo-Social Lab is located within the brand new research facility at the Informatics Initiative which is equipped with cutting edge research infrastructure such as the Visualization Wall, lab computers and meeting rooms, and prioritized access to High Performance Computing (HPC) and Hadoop clusters.

 

 

 

For all inquiries, please contact caglar-koylu@uiowa.edu.

 

Caglar Koylu

Assistant Professor

Department of Geographical and Sustainability Sciences

316 Jessup Hall

The University of Iowa

Iowa City, IA 52242

319 335 0161

www.geo-social.org

PhD position on Machine Learning and A.I. for predicting Motion Traces


The Doctoral College “GIScience” at the University of Salzburg offers a PhD position on Machine Learning and A.I. for predicting Motion Traces. The position is supported by the Austrian Science Fund (FWF). This call for application is designed exclusively for students with a specific interest in GIScience and Geoinformatics.

We are looking for a highly skilled and enthusiastic young researcher to work in the research field Collective Sensing under the main supervision of Prof. Euro Beinat. The PhD research focuses on:

• the conceptual design of prediction models for motion traces (the motion of vehicles, people, objects) in time-space, indoors and outdoors;

• the development of methods for predicting time-space traces based on deep learning and AI learning paradigms in general.

CALL FOR APPLICATION FOR PHD POSITION

The Doctoral College “GIScience” at the University of Salzburg offers a PhD position on Machine Learning and A.I. for predicting Motion Traces. The position is supported by the Austrian Science Fund (FWF). This call for application is designed exclusively for students with a specific interest in GIScience and Geoinformatics. We are looking for a highly skilled and enthusiastic young researcher to work in the research field Collective Sensing under the main supervision of Prof. Euro Beinat. The PhD research focuses on: • the conceptual design of prediction models for motion traces (the motion of vehicles, people, objects) in time-space, indoors and outdoors; • the development of methods for predicting time-space traces based on deep learning and AI learning paradigms in general. The research will leverage telecom data trace data, floating car data traces, indoor location traces and other sources of motion data. The Interfaculty Department of Geoinformatics – Z_GIS with its Doctoral College “GIScience” aims to combine high quality education with excellent research. The Faculty has several research groups with an outstanding international reputation. The PhD candidates will join a multidisciplinary team of researchers and educators in the field of Geographic Information Science and Geoinformatics.

A selection of ongoing doctoral research topics with detailed description can be found at http://dk-giscience.zgis.net/

The requirements for the application are: • Excellent completion of a degree at the Masters level in Geoinformatics, Computer Science, Engineering or other equivalent scientific/technical degree • Sufficient command of coding and scripting (in particular, Python) • Excellent command of the English language (both oral and writing)

The application deadline is 01 Nov, 2017. Candidates should submit their application at giscience@sbg.ac.at indicating the position name (Machine Learning and A.I. for predicting Motion Traces) and include: 1. Comprehensive curriculum vitae (please name the file as “LastnameFirstname_CV.pdf) 2. Copies of degree awards and transcripts documenting the fulfilment of the entry requirements 3. Language certificate (if available) The successful candidates will be invited for one or more interviews, either in person or via web meeting. We offer a great working atmosphere as well as remuneration according to the Austrian University collective bargaining agreement (yearly gross salary: € 28.680,–). The contract will initially be awarded for one year with an extension option of two to three years under specific circumstances. The PhD candidate is expected to spend one semester as a guest researcher at one of the 14 pre-selected partner Universities worldwide.

For all inquiries, please contact giscience@sbg.ac.at.

 

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