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).
 
************************************************************************
 
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

UChicago 1-Year MAPSS program now offers GIScience Concentration


The Committee on Geographical Sciences at the University of Chicago will offer a Concentration in Geographic Information Science as part of the flagship Master of Arts Program in the Social Sciences (MAPSS), starting in Autumn 2019.

MAPSS is a one-year (three quarters) 9-course program with a thesis requirement. The GIScience Concentration consists of 5 courses to develop:
  • the foundations of rigorous spatial thinking and its incorporation into the methodologies of Geographic Information Sciences, spatial analysis and spatial data science
  • computational aspects of geographic information science or
  • advanced spatial statistical analysis.
Application deadline: April 30, 2019:
Learn more about the new MAPSS concentration:
Questions?
Contact Professor Luc Anselin (anselin@uchicago.edu)

Julia Koschinsky, Ph.D.
Executive Director
Center for Spatial Data Science
University of Chicago

[Copernicus Academy & Copernicus Relays] summer school, tender and greetings from the CSO


Dear members of the Copernicus Academy and representatives of the Copernicus Relays,

We would like to share with you two news items:

1. The Summer School “Copernicus for Digital Earth” will take place from 23 June to 4 July 2019 in Salzburg, Austria. It will explore the potential of freely available satellite data with a focus on Copernicus and its service domains. It would be particularly relevant for graduate students and young professionals/academics who will explore best practice examples in a mixture of lectures and hands-on sessions. Registration is open until 17 March 2019.

The results of this summer school will be presented during a dedicated session at the 39th EARSeL Symposium “Digital I Earth I Observation“ that will be held from 1 July to 4 July in Salzburg, Austria. Being one of the biggest European conferences in the field of Remote Sensing and Earth Observation, it will tackle Copernicus-related topics, e.g. in a special session “Copernicus4All”. Registration is open now and the call for abstracts is open until 15 January.
2. In case you missed it, the Copernicus Marine Environment Monitoring Service (CMEMS) posted a call for tender. The aim of this new call involves promoting demonstrations of operational CMEMS downstream services and developing the elements needed for the implementation of these services.

The services may be coastal or offshore on one of the European Seas (5 lots), on the Arctic Ocean (2 lots) or on a part of the Global Ocean (5 lots).
– Documents related to this tender are available at https://www.mercator-ocean.fr/tender20
– The reference and title of this tender are: 110-UU-DEM5-CMEMS DEVELOPMENT AND PROMOTION OF DEMONSTRATIONS OF CMEMS DOWNSTREAM SERVICES
– Deadline for receipt of bids is: 14 February 2019 at 16:00 (Paris Time)

**********

With kind regards,
The Copernicus Support Office Team

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

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