Call – professorship in Geoinformatics – Institute for Geoinformatics, Münster, Germany


Professorship (W2) in

Geoinformatics for sustainable development

starting at the earliest possible date.

Who are we looking for?

Applicants should have an outstanding PhD in Geoinformatics or a related field. They should have a proven track record (peer reviewed publications, international network, successful research funding acquisitions) in at least one innovative area in geoinformatics (GI) and in at least one of the many application areas of sustainable development research. Of particular interest are the following areas of research:

• Artificial Intelligence / Deep Learning / Data Mining in GI

• Sensor Networks / Internet-of-Things in GI

• Big Data in GI

• Spatial/spatiotemporal Network Modelling / Network Planning in GI

• Data Science in GI

• Geographic Information Systems / Science

• Remote Sensing, Time Series Analysis

• Geo-Visualization, Visual Analytics

• Trajectories, Movement Data or 3D Point Clouds

and the following application domains:

• GI for Sustainable Development Goals

• Smart Cities, Urban Development, Sustainable Mobility

• Renewable Energy, Energy Transition

• Climate, Ecology, Developing Countries

The applicant‘s track record should complement existing research areas at the University of Muenster, in particular at the Faculty of Geosciences and at ifgi.

Applicants will be required to contribute towards teaching (i.e. courses related to Geoinformatics that are part of several degree programs at the department). The teaching load associated with the advertised post is nine hours per week during the teaching terms. Courses are taught in English or in German. In addition, the successful applicant will supervise undergraduate and graduate students (including PhD students) and contribute to the self-administration of the institute and the department. When appointed, candidates will be expected to establish a research agenda and their own research group at ifgi.

The University of Münster is an equal-opportunity employer and is committed to increasing the proportion of female academics. Consequently, we actively encourage applications by women. Female candidates with equivalent qualifications and academic achievements will be preferentially considered within the framework of the legal possibilities. We also welcome applications from candidates with severe disabilities. Disabled candidates with equivalent qualifications will be preferentially considered.

What are we offering?

The Institute for Geoinformatics is one of the oldest and largest of its kind in Europe. Research and teaching cover a broad range of topics in Geoinformatics. Core research areas at ifgi currently include:

analysis and modelling of spatiotemporal processes, interaction with spatiotemporal information, spatial cognition, geodata infrastructures, geosimulation, UAVs, geotechnologies in education and smart cities. The institute offers a dynamic, research intensive and very international environment with many opportunities for collaboration throughout the institute, the faculty and the university; the main language of the institute is English. ifgi is also well-connected nationally and internationally. Collaboration across groups and disciplines is explicitly encouraged and practiced throughout the entire institute. In addition, Münster city is not only one of the most liveable cities but it also hosts several SMEs as well as larger companies working in areas closely related to Geoinformatics.

How to apply?

Please submit your application with the usual documents (including a research and a teaching plan) as a single PDF via email by September 30, 2020 to the following address:

University of Münster

Dean of the Department of Geosciences

Prof. Dr. Harald Strauss

E-Mail: dekangeo@uni-muenster.de

Questions about the offered position can be directed to Edzer Pebesma (edzer.pebesma@uni-muenster.de), Angela Schwering (schwering@uni-muenster.de), or Christian Kray (c.kray@uni-muenster.de).

Post-doc position in the MIning MUlti-source and MUlti-modal geo-referenced information (MIMU) project


http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=125792

Innovative geographic knowledge discovery is becoming increasingly possible through the analysis of large-scale data, for instance made available by Earth observation projects leveraging satellites and remote-sensing, provided by ground-level sensors, or given as volunteered geographical information (e.g., geo-referenced multimedia contents posted online on social media platforms). However, problems that involve combining remotely-sensed data with volunteered geographical information are only now starting to be explored, and they still involve a number of practical challenges, e.g. related to appropriate content classification.

Over the recent years, data classification leveraging deep neural networks has also become increasingly popular. These methods have been reported to result in impressive performance gains, when applied to problems related to processing images or natural language. Within GIScience research, deep learning can also have several applications, that are only now starting to be explored (e.g., for improving land coverage analysis, spatial downscaling methods, and general classification tasks that involve combining different types of data).

Within the MIMU project (i.e., acronym for MIning MUlti-source and MUlti-modal geo-referenced information), the researcher that is to be hired will work on the use of machine learning approaches for the discovery and mapping of innovative geographic knowledge through the analysis and processing of large-scale volunteered data (e.g., geo-referenced multimedia contents such as images and textual descriptions, posted on social-media platforms like Flickr, Twitter, or Foursquare), in combination with more traditional sources (e.g., remote- sensing products available in the context of initiatives like ESA’s Sentinel/Copernicus programme, and/or tables with socio-demographic data made available by statistical offices). The complex relations between the different types of information, as well as the temporal and geographical dimensions of the data, introduce new challenges that will explored throughout the project, in an attempt to go beyond the current state-of-the-art.

Krátkodobá brigáda pro studenty i stálé pracovní místo pro absolventy GIT a IT (ACCENDO Ostrava)


Výzkumný ústav ACCENDO – Centrum pro vědu a výzkum, z.ú. nabízí možnost krátkodobé brigády pro studenty i stálé pracovní místo pro absolventy v oblasti prostorových analýz, geoinformačních systémů a IT.

  • Firma pracuje na výzkumných projektech i na státních zakázkách, jejími klienty jsou obce, města, kraje, ministerstva, Úřad vlády.
  • Nástupní plat od 130 do 180 Kč/hod. s možností platového růstu.
  • Práce v mladém a vyvíjejícím se kolektivu, možnost odborného růstu
  • Prace po celé ČR i v zahraničí. Sídlo firmy Moravská 758/95, 700 30 Ostrava – Hrabůvka
  • Možnost spolupráce ihned.

Požadavky na zájemce: znalost práce v ArcGISu, Word, Excel, PowerPoint – pokročilý. Tvorba mapových a kartografických výstupů., příprava a zpracování dat.

V případě zájmu kontaktujte Ing. Ivanu Foldynovou, Ph.D., zástupkyni ředitele.

Tel.: 733 343 248, e-mail: ivana.foldynova@accendo.cz

Bližší informace o činnosti výzkumného ústavu ACCENDO zde: http://accendo.cz/

Post-doc position in the MIning MUlti-source and MUlti-modal geo-referenced information (MIMU) project


Post-doc position in Portugal 

http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=124415

Innovative geographic knowledge discovery is becoming increasingly possible through the analysis of large-scale data, for instance made available by Earth observation projects leveraging satellites and remote-sensing, provided by ground-level sensors, or given as volunteered geographical information (e.g., geo-referenced multimedia contents posted online on social media platforms). However, problems that involve combining remotely-sensed data with volunteered geographical information are only now starting to be explored, and they still involve a number of practical challenges, e.g. related to appropriate content classification.

Over the recent years, data classification leveraging deep neural networks has also become increasingly popular. These methods have been reported to result in impressive performance gains, when applied to problems related to processing images or natural language. Within GIScience research, deep learning can also have several applications, that are only now starting to be explored (e.g., for improving land coverage analysis, spatial downscaling methods, and general classification tasks that involve combining different types of data).

Within the MIMU project (i.e., acronym for MIning MUlti-source and MUlti-modal geo-referenced information), the researcher that is to be hired will work on the use of machine learning approaches for the discovery and mapping of innovative geographic knowledge through the analysis and processing of large-scale volunteered data (e.g., geo-referenced multimedia contents such as images and textual descriptions, posted on social-media platforms like Flickr, Twitter, or Foursquare), in combination with more traditional sources (e.g., remote- sensing products available in the context of initiatives like ESA’s Sentinel/Copernicus programme, and/or tables with socio-demographic data made available by statistical offices). The complex relations between the different types of information, as well as the temporal and geographical dimensions of the data, introduce new challenges that will explored throughout the project, in an attempt to go beyond the current state-of-the-art.

Open position for a lecturer (senior scientist) in GIScience at Department of Geography, University of Zurich


We have an open position for a lecturer position in Geographic 
Information Science at the Department of Geography at the University of
Zurich.

We’re looking for a motivated researcher with a proven ability to carry
out and publish independent research in a field relevant to our group’s
core research strengths. These include Geographic Information Retrieval
and the use of natural language, be it sourced from user generated
content, unstructured text or citizen science. We aim to develop
theoretically grounded, societally relevant approaches, which broaden
access to geographic information and allow decision making to better
account for diverse ways of understanding the world, with a particular
focus on the natural environment.

To find out more about the position go to this link:
https://apply.mnf.uzh.ch/positiondetails/5799936

If you have any questions, don’t hesitate to contact me.

Best wishes,

Ross Purves

Prof. Dr. Ross Purves
Department of Geography
University of Zurich

ross.purves@geo.uzh.ch

EPSRC Centre for Doctoral Training in Geospatial Systems – 3x 4-year PhD Studentships


University of Nottingham and Newcastle University, supported by Ordnance Survey, invites high-quality applications from UK and EU nationals for three fully funded 4-year (1+3) PhDs in the EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems for September 2020 entry.

These are open to to UK and/or EU  applicants.
Details at https://www.nottingham.ac.uk/jobs/currentvacancies/ref/ENG1390

Tenure track position “Geospatial analysis of access to urban amenities” at Vrije Universiteit Brussel


Tenure track position “Geospatial analysis of access to urban amenities” at Vrije Universiteit Brussel

Application deadline: 30 May 2020

Recruitment is a tenure track appointment which implies an initial appointment as lecturer for a period of 5 years with eligibility for tenure in the rank of senior lecturer by the end of this initial period.

This is a joint hiring by the following research groups: Cartography and GIS (CGIS) and Cosmopolis Centre for Urban Research at the Faculty of Sciences and Bioengineering Sciences (WE); Interface Demography (ID) and Mobility, Logistics and Automotive Technology (MOBI) at the Faculty of Social Sciences (ES). The position is part of a wider strategy of intensifying collaborations between WE and ES in the domain of interdisciplinary research in critical geospatial analysis through mixed method approaches combining GIS-based mapping/modelling with advanced statistical analysis and participatory methods (including citizen science). 

Teaching

The candidate will have reduced teaching duties (an average of max. 8 ECTS per semester) in the first five years of the position. The teaching will be primarily oriented towards quantitative research methods, in particular GIS and spatial analysis related courses in the BSc and MSc in Geography, the MSc Urban Studies, the MSc Urban Design and Spatial Planning and the MA in Sociology. The candidate is also expected to supervise bachelor and master theses.

Following this period, she/he is also expected to lead on developing and (co-)teaching a set of course units in quantitative and/or mixed geospatial research methods; in the first instance to be offered in the MSc Urban Studies and the BA Social Sciences. It is also expected that s/he will play an active role in the realization of a ‘methodology lab’ oriented towards methodological innovation and training in quantitative and qualitative research methods in geosocial sciences that is open to the wider VUB community.

Research

Living in compact cities is put forward as a solution to the current environmental crisis, yet cities have become unaffordable for a growing part of the population with dire social, economic, and political effects. Within cities access to foundational amenities – such as green and blue infrastructure, energy, transport services, food, housing, care, education, telecommunications – is both spatially and socially unevenly distributed. Some neighbourhoods enjoy high levels of liveability while other have low levels of well-being and health of its residents and are bereft of affordable and accessible amenities. 

Despite constituting a major societal challenge, the analysis of the urban geographies of accessibility of foundational amenities at times of ecological transition lacks an integrative, empirical, and systematic approach. This is fundamentally hampered by a dearth of critical and scientifically robust methods that can support an interdisciplinary approach to the matter. Witnessing this research gap, critical geo-information science (GIS) has a key role to play in research on the accessibility of urban amenities.

Tackling the above challenges requires a mixed, interdisciplinary research approach that combines geospatial modelling, advanced statistical (big) data analysis and participatory research. Apart from publicly or government-provided big data, also volunteered geographical information and social sensing data may contribute to a better understanding of relationships and mismatches between the supply and demand of/for foundational urban amenities and the mechanisms behind it and serve the outlined goals. 

With these aims in mind and building on the expertise of the involved research groups, the current position seeks to attract a senior researcher to further develop a nascent line of research that advances an interdisciplinary take on the equitable accessibility of foundational urban infrastructure. We seek to anchor research in the Brussels context, but also endorse comparative urbanism approaches including cities in the Global North and South, while deploying and refining critical GIS methodologies.

Other

The candidate will be a member of the mentioned research groups and departments. She/he will be expected to participate in operational and administrative aspects, mainly in the Department of Geography.    

It is expected that the candidate will take on a leading and collegial role in developing collaborations in research and education of the involved departments. 

Job profile

  • As a formal minimum requirement, applicants must hold a PhD awarded on the basis of an original thesis. 
  • The candidate should ideally also have: 
    • A background in geography, geo-information science, urban studies, demography, sociology, transport studies, environmental studies or a related discipline;
    • Experience in quantitative analysis of spatial data (GIS), GIS programming/scripting and use of open source geospatial libraries;
    • Good statistical background and experience in the use of statistical software; 
    • Strong affinity with urban oriented research, social geography and/or spatial demographics;
    • Experience with data driven analysis techniques (machine learning approaches, data-mining, …), analysis of big data and volunteered geographical information is a strong plus;
    • Proven teaching skills and experience in supervising students;
    • An emerging or established track record of relevant publications;
    • Experience in applying for research grants and/or project coordination skills;
    • Strong networking and social skills.
  • The candidate should be fluent in English. Non-Dutch-speaking candidates will have to demonstrate knowledge of Dutch after 5 years. 
  • Knowledge of French is an asset.

Planned starting date: 01/11/2020. Applications online only via the following link: https://jobs.vub.be/job/Elsene-ZAP-vacature-enkel-tenure-track/598241401/

Contact: Prof. Matthieu Kervyn, Head of Geography Department: Matthieu.Kervyn.De.Meerendre@vub.be

UIUC’s CyberGIS Center is recruiting a System Engineer


The ad and application instruction are available on this webpage: https://cybergis.illinois.edu/career/system-engineer/.  This position is expected to join a dynamic team to make significant contributions to innovating big-data and high-performance geospatial computing systems.  The position is full-time, permanent, and eligible for attractive benefits.  Application deadline is April 13, 2020.  Your help for spreading the word would be greatly appreciated.

PhD position in Visual analytics of mobile behaviour data in digital cities @ University of Zurich


We have an open PhD position in the GIScience center, Department of Geography, University of Zurich on 
Visual analytics of mobile behaviour data in digital cities
For detailed information and online application, see https://apply.mnf.uzh.ch/positiondetails/3997698https://apply.mnf.uzh.ch/position/3997698
Please feel free to pass this notification on to potentially interested candidates.

Best regards,

Tumasch Reichenbacher, PhDSenior Lecturer
Group Leader Geovisual analytics and digital transformation   

Department of Geography
University of Zurich
Winterthurerstr. 190
CH-8057 Zurich, Switzerland

phone: +41 44 6355440
www.geo.uzh.ch/giva

Curator, Geospatial Cultural Heritage (British Library)


Please consider applying for the role of Curator, Geospatial Cultural Heritage at the British Library. Further details and information on how to apply are available here: https://britishlibrary.recruitment.zellis.com/birl/pages/vacancy.jsf?latest=01002198

Closing date: 22 March 2020

This full-time role, fixed-term for 18 months offers a unique opportunity to shape strategy in using geospatial data to connect cultural heritage collections and engage audiences. Based in the British Library, St Pancras, the role will contribute to the ‘Locating a National Collection’ project, a Foundational Collaborative project in the ‘Towards a National Collection: Opening UK Heritage to the World’ programme, funded by the AHRC. This is an exciting opportunity to work alongside co-investigators in the National Trust, Historic Royal Palaces and the University of Exeter alongside a range of project partners from across the cultural heritage sector to manage and deliver the project’s infrastructure and engagement work packages. Tasks include conducting technical research and audience evaluation, managing developers, organising workshops and writing sections of the project’s strategy report.