PhD position – Mobility Information Engineering


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 mraubal@ethz.ch (no applications).

Nabídka práce – ZU Opava


Náplň práce:

  • Aktualizace Základní báze geografických dat ČR (ZABAGED®) především vyhodnocením dat dálkového průzkumu Země, šetřením vybraných informací u místních orgánů veřejné správy a topografickým šetřením změn v terénu,
  • provádění aktualizace technologickými nástroji APV ZABAGED, MicroStation V8, TopoL Mobile.

https://www.cuzk.cz/getattachment/3e5035b6-4175-4f87-8710-d378e826f7df/Geograf.aspx

Postdoctoral research fellow in Spatial Data Science


I’m looking for a postdoctoral research fellow to work the project on “Uncovering the Mechanisms of Migratory Bird Navigation with Big Data Analytics”, funded by Leverhulme Trust. The post-holder will undertake data science research and is expected to develop new data fusion methods for open geomagnetic and bird tracking data.

Applicants should hold a PhD in geographic information science, remote sensing or a related spatial data science discipline and have an interest in movement ecology.

The post is for 14 months and is to start on 1 Sept 2019 or as soon as possible thereafter.

Application DL: 10 May 2019

More info here: https://wp.me/p4PBDq-62

Please, forward this to anyone who might be interested.

Best regards,
Urska Demsar

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Dr Urska Demsar
Senior Lecturer in Geoinformatics
School of Geography & Sustainable Development
University of St Andrews, Scotland, UK
@udemsar, https://udemsar.com/

Co-Director of the Bell Edwards Geographic Data Institute
http://begin.wp.st-andrews.ac.uk/

Associate Editor, International Journal of Geographic Information Science
https://www.tandfonline.com/toc/tgis20/current

Open Postdoc & PhD positions on “Addressing uncertainties in global land-use data”


Postdoctoral Researcher on “Addressing multiple uncertainties in spatiotemporal statistical modelling of global land-use dynamics”

Location: German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv), Leipzig, Germany

Supervisor: Carsten Meyer

Collaborators: Ralf Seppelt, Lars Bernard, and others

 

New gridded information on global land-use dynamics offers exciting avenues for studying issues in biodiversity, climate, food security, and many other research fields. However, these data products inherit tremendous uncertainties that challenge their downstream application. Addressing these uncertainties requires using advanced modelling techniques and powerful computing resources. To model and analyze recent land-use dynamics using cutting-edge methodologies in a highly interdisciplinary and collaborative environment, we offer an exciting three-year postdoctoral researcher position at the German Centre for Integrative Biodiversity Research (iDiv). The project is supervised by Dr. Carsten Meyer (head of iDiv’s Macroecology & Society group) in collaboration with Prof. Lars Bernhard (TU Dresden’s Geoinformatics group), Prof. Ralf Seppelt (Computational Landscape Ecology department, Helmholtz Center for Environmental Research), and others at iDiv and beyond.

 

Job description:

  • carrying out research developing/applying statistical/computational tools for modelling recent land-use dynamics while addressing multiple sources of uncertainty
  • implementing these tools to improve newly developed spatiotemporal land-use data products; these products represent annual time-series of global high-resolution maps for multiple land-use variables related to cropping, grazing, and forestry systems, derived via a model-based integration of remote sensing, statistical census, and field data; overarching goal: address multiple sources of uncertainties throughout the modelling workflow and represent these at pixel-level in the final modelled data products
  • contributing to the development of standardized vocabularies and best practices for quality assurance in modelled data products
  • leading the dissemination of project results via high-quality journal publications and conference presentations
  • contributing to the further development of open-science, collaborative IT solutions as part of longer-lasting tools for global land-use analysis
  • contributing to the management of the collaborative project (co-organization of project meetings, etc.)

Requirements / expected profile:

  • successfully completed a PhD in a project-related field and interested in developing a career in science
  • broad experience in statistical modelling evident, for instance, from a PhD project emphasizing statistical modelling or computational analysis, or from formal education in a stats-related field (e.g., (geo)statistics, environmental modelling, computer science, remote sensing)
  • experience in command-line based data analysis, open-source programming languages (e.g., Julia, Python, C++, R), and version control (Git)
  • prior experience in addressing uncertainties in large/complex modelling workflows (e.g., Bayesian techniques for Big Data applications), predictive modelling, and/or spatiotemporal modelling will be an advantage
  • prior experience in working with gridded environmental information (e.g., land-cover, land-use, climate) will be an advantage, but is not a prerequisite
  • proactive, results-oriented, and with excellent team and communication skills (English)

We offer:

  • 3-year postdoc position with a competitive salary in a highly dynamic, collaborative, and interdisciplinary working environment; note that benefits like health insurance, parental leave, and pension plans are standard parts of university jobs in Germany
  • career-building support (e.g. in proposal writing, teaching opportunities, networking at iDiv and beyond) over the course of the project, incl. regular interaction with an international network of land-use mapping experts
  • access to powerful computing resources and support by iDiv’s informatics units and collaborators
  • Salary: Entgeltgruppe 13 TV-L (standard German postdoc funding, which is more than adequate to live comfortably in Leipzig)
  • The working language at iDiv is English. IDiv is a highly international centre with employees from 30 countries and various forms of support for foreign-language employees (Welcome Centre, German classes, etc.). Leipzig is an attractive city with rich culture and beautiful surroundings, and international visitors usually find it easy to settle in.

Applications are accepted until 20 May 2019. 

Link to full job ad: https://www.idiv.de/en/about_idiv/career.html.

 

 

 

Doctoral Researcher on “Validation, uncertainty analysis, and long-term improvement of global land-use data”

Location: German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig (iDiv), Leipzig, Germany

Supervisor: Carsten Meyer

Collaborators: Ralf Seppelt, Lars Bernard, Steffen Fritz, and others

 

Detailed information on global land-use patterns and dynamics is crucial for biodiversity, climate, food security, and many other research fields. While the integration of new data sources and computing tools enables mapping land use patterns and dynamics globally, the resulting gridded land-use datasets inherit tremendous uncertainties that challenge their downstream application. To advance the validation and continuous improvement of land-use datasets using cutting-edge methodologies in a highly interdisciplinary and collaborative environment, we offer an exciting three-year doctoral researcher position at the German Centre for Integrative Biodiversity Research (iDiv). The project is supervised by Dr. Carsten Meyer (head of iDiv’s Macroecology & Society group) in collaboration with Prof. Lars Bernard (TU Dresden’s Geoinformatics group), Prof. Ralf Seppelt (Computational Landscape Ecology department, Helmholtz Center for Environmental Research), Prof. Steffen Fritz (International Institute of Applied Systems Analysis) and others.

 

Job description:

  • carrying out research on quantifying and reducing uncertainties in global land-use information, focusing on newly developed annual time-series of multiple variables related to cropping, grazing, and forestry systems
  • leading the assembly of ground-truthing information from existing databases and through a data validation campaign in the Geo-WIKI citizen-science platform
  • contributing to the development of standardized vocabularies and best practices for land-use data and data-quality assurance
  • leading the dissemination of project results via high-quality journal publications and conference presentations
  • contributing to the further development of open-science, collaborative IT solutions as part of longer-lasting tools for global land-use analysis
  • contributing to the management of the collaborative project (co-organization of project meetings, etc.)

Requirements / expected profile:

  • successfully completed a MSc or equivalent degree in a project-related field (e.g., geography, geoinformatics, geostatistics, agricultural/forestry sciences, environmental sciences, ecology)
  • highly motivated to develop efficient solutions for large data processing tasks; prior experience in working with environmental/land-cover/land-use information will be an advantage
  • prior experience in command-line based data analysis, open-source programming languages (e.g., Julia, Python, C++, R), and version control (Git) will be an advantage, but is not a hard requirement
  • proactive, results-oriented, attention to detail, and with strong organizational and communication skills (English)

We offer:

  • 3-year doctoral research position with a competitive salary in a highly dynamic, collaborative, and interdisciplinary working environment; note that benefits like health insurance, parental leave, and pension plans are standard parts of university jobs in Germany
  • excellent networking opportunities and regular close interaction with an international network of land-use mapping experts
  • Access to powerful computing resources and support by iDiv’s informatics units and collaborators
  • enrolment in iDiv’s graduate school yDiv
  • Salary: 65% Entgeltgruppe 13 TV-L (standard German PhD student funding, which is more than adequate to live comfortably in Leipzig)
  • The working language at iDiv is English. iDiv is a highly international centre with employees from 30 countries and various forms of support for foreign-language employees (Welcome Centre, German classes, etc.). Leipzig is an attractive city with rich culture and beautiful surroundings, and international visitors usually find it easy to settle in.

Applications are accepted until 20 May 2019. 

Link to full job ad: https://www.idiv.de/en/about_idiv/career.html.

 

Dr. Carsten Meyer 

Head of research group “Macroecology & Society”

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig

 

Lab URL: www.idiv.de/macroecosociety

Skype: carsten_meyer2 | Phone: +49 341 9733238 | Email: carsten.meyer@idiv.de | Twitter: @carst.mey

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Deutscher Platz 5e, 04103 Leipzig, Deutschland

Fully funded PhD position


Advert for new Centre for Doctoral Training


The EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems invites high-quality applications for up to 9 fully funded 4-year PhDs at Newcastle University and University of Nottingham. We are looking to recruit graduates from a wide range of backgrounds including Engineering, Geographical/Environmental sciences, Computing, Mathematics and related disciplines.
The Geospatial Systems CDT will help deliver a world leading generation of engineers, scientists and practitioners in geospatial data science and its application within interdisciplinary PhD research on 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 global challenges.
In year 1 students will receive joint training in spatial data capture, management, analysis, statistics, modelling and visualisation, along with the new computing technology and methods that are transforming the use of geospatial data. In years 2 to 4 students will undertake their PhD research project and a range of CDT-wide cohort-based activities and Industry-informed training on Responsible Research and Innovation (RRI).
Details on how to apply can be found at: https://research.ncl.ac.uk/geospatial-systems/howtoapply/
Deadline: 30th April 2019.
To find out more about the CDT please visit the our website (research.ncl.ac.uk/geospatial-systems) or contact the CDT Directors; Professor Stuart Barr (Newcastle: stuart.barr@ncl.ac.uk) or Professor Stuart Marsh (Nottingham: Stuart.Marsh@nottingham).
 
************************************************************************
 
Professor Stuart Marsh
Deputy Director
 
Nottingham Geospatial Institute
University of Nottingham
Room B8, Nottingham Geospatial Building
Jubilee Campus, Triumph Road,
Nottingham, NG7 2TU
 
t: +44 (0) 115 951 5445

University of Toronto Map and Data Library


The University of Toronto Map and Data Library is hiring a Reference Specialist (permanent full-time). Please see the following posting and application information in the link below. Please forward to anyone you feel may be interested in applying. For further information, please contact me directly at marcel.fortin@utoronto.ca.

https://utoronto.taleo.net/careersection/10000/jobdetail.ftl?job=1900674&tz=GMT-04%3A00

NC State Center for Geospatial Analytics Faculty Position


A friendly reminder that we are still accepting applications for an open teaching faculty position with the Center for Geospatial Analytics at NC State University. Initial review of applications will begin this week, but the position will remain open until filled so if you or someone you know is interested, please apply as soon as possible to ensure full consideration. The job link is here: https://jobs.ncsu.edu/postings/114342  and full description below.
You may contact me directly with any questions
—————————
Position:
Teaching Assistant Professor/Teaching Associate Professor
Description:
The Center for Geospatial Analytics (geospatial.ncsu.edu) at North Carolina State University is seeking a highly motivated individual to join its academic programs as a non-tenure track, 9-month, faculty member at the rank of Teaching Assistant Professor or Teaching Associate Professor. The selected individual will join a dynamic team of interdisciplinary faculty dedicated to educating the next generation of geospatial data science professionals and will contribute to a diverse and inclusive teaching environment.

The primary duty of this position will be to teach and develop courses in the center’s highly ranked Professional Master of Geospatial Information Science & Technology Program (MGIST), Graduate Certificate in GIS Program, and growing offerings at the undergraduate level. The selected individual will teach the equivalent of five to six classes per year online and/or on-campus. Topics may include geospatial data infrastructure, cloud computing and CyberGIS, spatial analysis, geospatial programming and development, open source GIS, and decision analytics. The selected individual will also have opportunities to develop new courses in their area of expertise at the undergraduate and graduate levels. Service commitments may include mentoring students and serving on programmatic committees within the Center for Geospatial Analytics.

There is also an opportunity to play a leadership role in the development of an interdisciplinary undergraduate minor in GIS and geospatial data sciences, including but not limited to curriculum development and student advising once the program is established. The initial contract will be for three years, with opportunities for multiple renewals and advancement based on yearly performance reviews and progress.

Qualifications:

Applicants must have a Ph.D. in a relevant field, with clear evidence of geospatial/GIS expertise. The ideal candidate will also have demonstrated:

•Ability to teach at the undergraduate/graduate level.

• Proficiency using geospatial tools, including Esri and Open Source products (e.g., AGOL, ArcGIS Pro, ArcMap, QGIS, GRASS GIS, R) in teaching and research settings.

• Proficiency with enterprise or advanced spatial database environments (e.g., PostgreSQL, SQL Server, Oracle) and cloud computing environments (e.g., AWS, Azure).

• Strong data science and analytical background.

• Proficiency with programming languages (e.g., SQL, Python, JavaScript).

Experience in developing courses, advising undergraduate students, and teaching in an online environment is also highly desired.

More Information:

NC State University is a land-grant institution located in the Research Triangle of North Carolina, and the Center for Geospatial Analytics is the foremost interdisciplinary research and teaching center of its kind in the nation. As the collaborative hub for NC State’s Chancellor’s Faculty Excellence Program in Geospatial Analytics, the center provides a dynamic environment for integrative data scientists who advance novel understanding of spatial phenomena and apply new knowledge to grand challenges. Its distinguished, forward-thinking educational programs combine foundational theory with hands-on training and real-world service-learning.

Questions about the position may be directed to Dr. Eric Money (esmoney@ncsu.edu)

To apply: visit https://jobs.ncsu.edu/postings/114342. NC State University is an equal opportunity and affirmative action employer. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.

Eric S. Money, PhD

Associate Director of Professional Education | Center for Geospatial Analytics

Assistant Professor | GIST

Director of Graduate Programs | MGIST/GIScert

 

College of Natural Resources

Jordan Hall 5108 | Campus Box 7106

North Carolina State University

2800 Faucette Dr.

Raleigh, NC 27695 USA

esmoney@ncsu.edu | 919-513-0408 | geospatial.ncsu.edu

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