The following vacancy for a PhD position in the QuAnGIS project is available at Utrecht University, NL (application deadline 16 February 2020):
Could you please forward this post to your network and to suitable candidates? The project is about question-answering (QA) on geographic information.
-- Simon Scheider Human Geography and Spatial Planning Universiteit Utrecht Vening Meineszgebouw A Room 6.16 Princetonlaan 8a 3584 CB UTRECHT The Netherlands +31 30 253 2966 http://www.uu.nl/medewerkers/SScheider https://questionbasedanalysis.com/
The UMass Amherst Geography Program in the Department of Geosciences is seeking applicants for the accelerated 1-year Masters in Geography – Geographic Information Science and Technology (GIST) program for the 2020-2021 academic year.
The program is designed to provide a solid foundation and diverse set of knowledge, skills and practices in geospatial technologies. Highly-motivated students and professionals will emerge from the program with applied experience and a broad GIS skillset applicable towards diverse professional opportunities through rigorous coursework and hands-on project opportunities. Core courses include Geographic Information Systems (GIS), remote sensing, and spatial analysis with optional course topics ranging from Cartographic Design and WebGIS to geospatial database management and unmanned aerial systems (drones).
Students in this program have the opportunity to engage with the background in the science, techniques, and application of geospatial skills, enabling them to embark on a public or private sector career in geography, planning, public policy, ecology, environmental science and other fields. Coursework is undertaken in both the Fall and Spring semesters with a required summer internship.
Courses in GIST at UMass-Amherst are offered at our Amherst campus and the Mt. Ida campus in Newton, MA.
For more information about the program, including the courses we offer, how to apply, and cost, please visit http://clicks.memberclicks-mail.net/wf/click?upn=8QsjVQ-2B3um7rWxLmpafxi8pSXkKP0LNtAFUlNCBJ4HqT44v45K1AygsfyWJvEpmjFv8fUYcZDuCzon87-2BdWT1Q-3D-3D_uZ8O0vGvxW8ycgP0EGD4dotdRQxMhdx7e-2FZD4PZ5iMyTUWNpEIqktOna-2FrHh7CcTNVY2B8GJCrVPMpZS5hpDcgW4x0XNpkAJmBzZUZn1pNAcIblm7OP293iHtF0L2BpUvaKvuGZHE1Mfi4bSupkABkq-2BVHSQ6a3eUL2DwhrYrh9-2F-2FSlsKaM-2FNF9iJTzf561k-2Fz25A7YlgQxQ27NIQz24z-2B8vifCyM2ffjlpX99LOFx5fAbIifojOg688t0Lu3e5yPXxMX41y-2Fi8Wfv0ADJqTBPXACpAMjEYGKlhFLTrzkef11dxeaE-2BDRCglhl7pW7HLbDyoTZEzqkI94XMdEXM5JShb63hfgIG24Z-2BITFtgMY4-3D or contact Dr. Forrest J. Bowlick at email@example.com.
We would love for folks to get their applications in by February 1st, 2020 but will also be accepting applications after that date.
Two postdoctoral research fellow positions at the University of California Santa Barbara
The MOVE Laboratory (http://move.geog.ucsb.edu) at the Geography Department at UC Santa Barbara is seeking applications for two postdoctoral research fellowswith an anticipated start date as early as 15 January 2020. Candidates are expected to hold a Ph.D. in GIScience, Geography, Cartography, Computer Science, or Data Science. The successful candidates will have strong quantitative and analytical skills and research experience in areas such as machine learning, movement pattern mining, artificial intelligence, geovisualization, visual analytics, spatial cognition, human behavior studies. Experiences and knowledge of experiment design, especially in the area of spatial cognition is desirable. The postdoctoral fellows will be engaged in multidisciplinary research on two different projects to develop and evaluate cartographic and data science approaches to studying movement in different contexts including human mobility, migration, health geography, movement ecology, and natural hazards and earth system sciences. Please find more information about the positions here. The review of applications begins on 15 December 2019 and it will continue until the positions are filled. For any inquiry or to submit your application, please contact Dr. Somayeh Dodge (firstname.lastname@example.org). Ph.D. positions at the University of California Santa Barbara
The MOVE Laboratory (http://move.geog.ucsb.edu) at the Geography Department at UC Santa Barbara is seeking Ph.D. students. We are looking for talented students with a strong quantitative background in GIScience, Geography, Computer Science, or Data Science, and interest in movement and mobility. Our group focuses on the study of movement using data science and geo-computational approaches, including movement data analytics, pattern mining, machine learning, geovisualization, AI, modeling, and simulation. The students will be engaged in multidisciplinary research to develop data science approaches to study movement in different contexts including human mobility, migration, health geography, movement ecology, and natural hazards and earth system sciences. Please find more information about the application process at https://geog.ucsb.edu/graduate-admissions/. The application deadline is December 15th, 2019. If you are interested in this opportunity, please contact Dr. Somayeh Dodge (email@example.com) before submitting your application.
|Department of Geography|
The Geoinformation Group at TU Vienna in Austria is looking for a PhD Student, starting the earliest possible.
We welcome applications from students that are enthusiastic about working in the area of Human-Computer Interaction and Geographic Information Science. During this 4 years position, the main focus will be on spatial interaction modalities and human activity recognition using a variety of sensors. The research is expected to lead to publications and a PhD dissertation for the student.
Qualifications and Skills
The ideal candidate must have an academic degree (Master Degree or equivalent) in a relevant field (e.g., Geographic Information Science, Computer Science, Media Informatics, Information Science), as well as strong research interests in Geographic Information Science and Human-Computer Interaction.
Good programming skills (e.g., C#, Python) and analytical thinking are required. Experience in Machine Learning and Empirical Research is highly desirable. Experience with one or more of the following is a plus: AR/VR, Unity, Eye Tracking. Furthermore, the candidate must have good communication skills in English (oral and written) and be a team player.
· 4 years position not tied to a project
· 30h/week employment
· Minimum 2.148,38 Euro gross (14 x per year)
· Motivation letter
· A Curriculum Vitae
· A copy of education degrees: e.g. bachelor degree, master degree, etc.
· Course transcripts, GPA (grade point average)
· Reference letters are welcome
Application Deadline: 7. January
Please send your application documents (one file) to firstname.lastname@example.org
If you have any questions, you can write to email@example.com
YouTube: Geoinformation TU WIEN
Ještě stále máte možnost stát se vysokoškolákem a studovat obor s perfektní uplatitelností na trhu práce – geoinformatiku! Přihlášky je možné podávat do 20.8.2019.
The Graduate School for Geoinformatics at the Institute for Geoinformatics, University of Münster(http://www.uni-muenster.de/
The ifgi PhD scholarships include
· A monthly scholarship lump sum of 1.468 € per month (three years, starting April 1, 2020)
· Coverage of the semester fees for six semesters
· Travel costs to Germany (in case of not living in Germany), up to 1.200 € according to actual and documented costs
· Pre- and post-arrival support by ifgi.
Applications are requested by November 3rd, 2019, via email to the ifgi secretariat, firstname.lastname@example.org. Questions regarding the open topic can be sent to the corresponding group lead/professor.
Further information: https://www.uni-muenster.de/
-- Dr. Christoph Brox Institute for Geoinformatics, University of Münster Heisenbergstrasse 2 48149 Münster Germany email@example.com
The EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems invites high-quality applications for 1 award of a 4-year PhD studentship in the area of 3D data fusion of complex environments. This will start September 2019, be sponsored by the Ordnance Survey and run for 4 years at the University of Nottingham.We are looking to recruit a graduate from a wide range of backgrounds that could include Engineering, Geographical/Environmental sciences, Mathematics, Computer Science and related disciplines.The PhD on 3D data fusion for complex environments will develop novel approaches to fusion of 3D geospatial data, from traditional airborne photogrammetry but using oblique cameras, to high- and low-altitude unmanned aerial vehicles (UAVs), vehicle-mounted roadside survey vans, and the streams of data from connected and autonomous vehicles, through to indoor mapping technologies. The aim of this project is to explore different requirements for 3D data from different application sectors and use this to drive research into a flexible framework to manage and integrate 3D data from different sources. Ordnance Survey will supply data, use cases and research support. Students will have an opportunity to undertake a placement within Ordnance Survey of between 1 and 3 months, during the PhD, and they will also have the opportunity to attend the Ordnance Survey PhD workshop events.The Geospatial Systems CDT will help deliver a world leading generation of engineers, scientists and practitioners in geospatial data science and its applications within interdisciplinary PhD research into smart cities, urban and infrastructure resilience, spatial mobility (transport), energy systems, sustainable spatial planning, structural monitoring, social inclusion and healthy living, environmental applications and the translation of geospatial methods to meet global challenges. In year 1 students will receive joint training between Nottingham and Newcastle Universities (the two partners in the CDT) in spatial data capture, management, analysis, statistics, modelling and visualisation, along with the new computing technology and methods that are transforming the uses of geospatial data. In years 2 to 4 students will undertake their own PhD research project, as well as benefiting from a range of CDT-wide, cohort-based activities and Industry-informed training on Responsible Research and Innovation (RRI).The award is available to UK/EU applicants only. Depending on how you meet the EPSRC’s eligibility criteria, you may be entitled to a full or a partial award. We are looking for a wide range of applicants who have a minimum of a 2:1 degree in Engineering, Geographical/Environmental Sciences, Mathematics, Computer Sciences or related disciplines. Full UK/EU fees (eligibility criteria applies to EU students) and an annual living allowance of £15,009 (awarded at the 2019/20 UKRI rate) are provided. A Research Training grant (that provides costs for consumables, travel, conferences), and placement opportunities with Ordnance Survey are also supported.To apply to Nottingham, select the ‘Apply for a course’ option at the MyNottingham portal and follow the instructions on the University Postgraduate Study page. Please attach a covering letter and CV. In the covering letter, please quote ‘Engineering Surveying and Space Geodesy’ as the reference, mention the CDT and Professor Stuart Marsh, the Nottingham CDT Director. Also state the PhD topic of interest as 3D Data Fusion and describe how your interests and experience relate to the CDT. Attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications.Find out more by contacting the Nottingham Director of the CDT, Professor Stuart Marsh, or visiting:https://research.ncl.
ac.uk/geospatial-systems/Our commitment to equality, diversity and inclusion lies at the heart of our CDT, including ensuring flexibility in all activities so that CDT participants with caring and family responsibilities are able to participate fully.Deadline: Monday 8th JulyTo find out more about the CDT in general please visit the our website (research.ncl.ac.uk/ geospatial-systems), email geospatialcdt@newcastle. ac.uk or contact the CDT Directors; Professor Stuart Barr (Newcastle:firstname.lastname@example.org. uk) or Professor Stuart Marsh (Nottingham: Stuart.Marsh@ nottingham.ac.uk).****************************** ****************************** ************Professor Stuart MarshDeputy DirectorNottingham Geospatial Institute
University of NottinghamRoom B8, Nottingham Geospatial BuildingJubilee Campus, Triumph Road,Nottingham, NG7 2TUt: +44 (0) 115 951 5445
Nevíte kam po maturitě? Přijďte studovat geoinformatiku! 27.6.2019 bude pro všechny studenty středních škol den Setkání s geoinformatikou – dozvíte se, co vás čeká během studia, seznámíte se s některými z vyučujících a ukážeme si vybavení, které budete během studia používat.
Více informací se dozvíte zde: https://www.hgf.vsb.cz/cs/uchazeci/prijimaci-rizeni/
ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. The Institute of Cartography and Geoinformation is looking for a highly motivated doctoral candidate in the area of Mobility Information Engineering at the Chair of Geoinformation Engineering(www.gis.ethz.ch), starting at the earliest possible date.
PhD position – Mobility Information Engineering
The main objective of this PhD position is the development and testing of innovative computational methods for the analysis, simulation and forecasting of human mobility based on spatio-temporal data. This research will be linked to the Action Plan Digitalization within the Swiss Competence Center for Energy Research – Efficient Technologies and Systems for Mobility (SCCER Mobility) and related projects. The PhD position will be associated with the Mobility Information Engineering Lab 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 sustainable mobility. Knowledge of methods in spatial analysis and machine learning, as well as strong programming skills (e.g., Java, Python or C++) are required. Knowledge of GIS and spatial databases is a plus. The candidate must have good 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 including the following documents: 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. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Review of applications will begin on June, 1st, 2019, and continue until the position is filled.
For further information about the position, please contact Prof. Dr. Martin Raubal at email@example.com (no applications).