3 PhD scholarships at the Institute for Geoinformatics, start April 1, 2020


The Graduate School for Geoinformatics at the Institute for Geoinformatics, University of Münster(http://www.uni-muenster.de/Geoinformatics/) offers up to three full PhD scholarships for open topics linked to one of the research groups (labs) at ifgi. Maybe some of you are interested in this call or you know other people you might be – please feel free to forward. 

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, ifgiorga@uni-muenster.de. Questions regarding the open topic can be sent to the corresponding group lead/professor.

 Further information: https://www.uni-muenster.de/Geoinformatics/en/Studies/study_programs/PhD/

-- 
Dr. Christoph Brox
Institute for Geoinformatics, 
University of Münster
Heisenbergstrasse 2
48149 Münster
Germany

broxc@uni-muenster.de

PhD on 3D Data Fusion of Complex Environments in the EPSRC Centre for Doctoral Training in Geospatial Systems funded by Ordnance Survey


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 July
To 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:stuart.barr@ncl.ac.uk) or Professor Stuart Marsh (Nottingham: Stuart.Marsh@nottingham.ac.uk).
 
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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

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).

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

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).
 
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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

Postdoctoral Research Scholar Positions at ASU


Arizona State University seeks applications for 2 Postdoctoral Research Scholars with interests in community resilience, spatio-temporal analysis, social data analytics, and/or modeling/visualization of complex data start by Fall 2019. Please see the attached description or https://sgsup.asu.edu/employment for more details.

Patricia

Patricia Solís, PhD

Executive Director

Knowledge Exchange for Resilience

Arizona State University

t: 480-965-3767

m: 469-200-9093

email: patricia.solis@asu.edu

Two fully-funded PhD positions in Demography/GIScience at University of St Andrews


PhD position Urban modelling in Amsterdam


PhD–POSITION URBAN MODELLING

At SPINlab, dept. Spatial Economics

Vrije Universiteit Amsterdam, The Netherlands

For the recently approved SIMITRI project (funded by JPI-Urban Europe and NSFC) we are looking for a PhD researcher that will develop an urban land use and transport modelling environment. Building on recent experience with of state-of-the-art land-use models applied in the Dutch planning context, this new model will help addresses contemporary planning issues such as urban extension-densification, spatial distribution of residents-employment; and inclusiveness/equity issues.

The candidate will focus on understanding and simulating urban development dynamics and addressing the land-use implications of socio-economic and demographic scenarios in relation to (changes in) accessibility and spatial planning alternatives. This involves empirical analyses of changes in urban land use relying on spatially explicit data sources and spatial analysis techniques using geographical information systems and statistical approaches. Based on these insights a spatial simulation approach will be developed that combines the current spatial distribution of demographic and socio-economic groups, expected changes in their location preferences, the competition for space between these groups and government interventions in relation to, for example, changes in the transport infrastructure.

The full vacancy can be found here: https://werkenbij.vu.nl/ad-preview/80cebj/en

For questions please contact: e.koomen@vu.nl

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