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

International Cartographic Conference 2019 – ECS Opportunities


ICA Scholarships

The International Cartographic Association (ICA) is now considering applications for grants to support individuals in advancing their career in cartography and GIScience to the benefit of the ICA community. ICA scholarships for young scientists or professionals in cartography and GIScience can be used to participate in ICA events (International Cartographic Conferences, Regional Cartographic Conferences, or Commission workshops). Details are available at http://icaci.org/scholarship/. The deadline for applications is January 31, 2019. Note that a letter of support from the ICA National Delegate must accompany the application. For the US, please contact Aileen Buckley, abuckley@esri.com, for the letter of support.

ICC 2019 LOC Travel Grants

The Local Organizing Committee of ICC 2019) announces the availability of travel grants to subsidize the costs of participation in the conference. Please see details athttp://www.icc2019.org/travel_grant.html. Duplication is allowed to applying to the ICA scholarship. The deadline for applications is March 1, 2019.

A-WEAR European Joint Doctorate


Dear colleagues,
The A-WEAR European Joint Doctorate has just begun and we have opened a call for applications. A total of 15 positions are offered to candidates holding a recent Master’s degree. We would like to make you aware that some of the positions offered will especifically address research in positioning and localisation technologies.
Please find below the detailed call for applications.
On behalf of the A-WEAR consortium,
Estefanía and Joaquín
____________________________________________________________________________
Call for Applications – 15 PhD Positions
Marie Marie Sklodowska-Curie EJD, European Joint Doctorate
A-WEAR: A network for dynamic wearable applications with privacy constraints
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
Dear colleagues,
Applications are invited for 15 full-time PhD student positions (called Early Stage Researchers or ESR) for joint and double PhD degrees for 36 months. The positions are offered within the A-WEAR European Joint Doctorate (www.a-wear.eu)
action of the highly appreciated EU-funded Marie Skłodowska Curie grants (grant # 813278).
We offer the possibility of PhD graduation with double or joint PhD certificate from two EU universities (research area is wearable computing). The positions are fully funded for a 36-month period. The applicants can choose their position in one of five top-level universities in Czech Republic, Finland, Italy, Romania, or Spain and complement their experience within periods of up to 15 months of cross-country and industrial secondment by working with the highly committed industrial partners of the action in the above-mentioned countries.
The starting times will be during the Fall 2019. The application deadline is on 28th of February 2019. The results of the selection process are expected to be announced by end of April 2019.
More information below; please check carefully the eligibility conditions:
Please, do not hesitate to contact us for any further clarification at info.a-wear@tut.fi .
___________________
Available Positions
‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾
ESR1. Energy-efficient edge computing based gateways for wearable networks. Employer: Tampere University, Finland. Double PhD degree with Universita Mediterranea di Reggio Calabria, Italy. http://www.a-wear.eu/recruitment/ESR1.pdf
ESR2. Large-scale crowdsourcing-based wearables data gathering and processing. Employer: Tampere University, Finland. Joint PhD degree with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR2.pdf
ESR3. Privacy-aware approaches for wireless IoT localization on wearable devices. Employer: Tampere University, Finland.  Double PhD degree with University “Politehnica” of Bucharest, Romania. http://www.a-wear.eu/recruitment/ESR3.pdf
ESR4. 5G and mmWave capabilities in wearable applications. Employer: Tampere University, Finland. Joint PhD degree with Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR4.pdf
ESR5. Cloud Platform for context-adaptive positioning and localization on wearable devices. Employer: Universitat Jaume I, Spain. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR5.pdf
 
ESR6. Collaborative techniques for infrastructureless Indoor Positioning Systems. Employer: Universitat Jaume I, Spain. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR6.pdf
ESR7. Urban Mobility: balancing usefulness and privacy. Employer: Universitat Jaume I, Spain. Joint PhD degree with Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR7.pdf
ESR8. Centimeter level accuracy for IoT localization of wearable devices. Employer: University “Politehnica” of Bucharest, Romania. Double PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR8.pdf
ESR9. Industrial wearables for work safety. Employer: University “Politehnica” of Bucharest, Romania. Double PhD degree with  Brno University of Technology, Czech Republic. http://www.a-wear.eu/recruitment/ESR9.pdf
ESR10. Wearables for ehealth. University “Politehnica” of Bucharest, Romania. Double PhD degree with Universita Mediterranea di Reggio Calabria, Italy. http://www.a-wear.eu/recruitment/ESR10.pdf
ESR11. Low latency machine learning and data mining for wearable devices. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR11.pdf
ESR12. Reliable and low-latency communication technologies for industrial wearable applications. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR12.pdf
ESR13. Privacy-enhancing technologies and privacy-enhancing cryptography for wearables. Employer: Brno University of Technology, Czech Republic. Joint PhD degree with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR13.pdf
ESR14. Social-aware discovery and data exchange among IoT devices over Edge Computing platforms. Employer: Universita Mediterranea di Reggio Calabria, Italy. Double PhD degree with Tampere University, Finland. http://www.a-wear.eu/recruitment/ESR14.pdf
ESR15. New Architecture, communication and networking protocols for supporting 5G-IoT wearable devices connectivity. Employer: Universita Mediterranea di Reggio Calabria, Italy. Double PhD degree with with Universitat Jaume I, Spain. http://www.a-wear.eu/recruitment/ESR15.pdf
 
 
Estefanía Aguilar Moreno

Institute of New Imaging Technologies (INIT) www.init.uji.es
Geospatial Technologies Research Group www.geotec.uji.es  // @geotecUJI
Espaitec 2, 5th floor
Office UB-1518
Phone +34 964 387686
Universitat Jaume I, E-12006, Castellón de la Plana, Spain

Full-time PhD position (2019-2022)


Overview of the position

We are looking for a PhD student who will join the Social and Economic Geography (SEG) research group at the Geography Department of Ghent University. The appointed PhD student will work on the project titled “The happy commuter. A life-oriented approach of commuting satisfaction”, funded by the Research Foundation – Flanders (FWO) and supervised by prof. Frank Witlox and dr. Jonas De Vos. This PhD position is part of a joint project together with the Luxembourg Institute of Socio-Economic Research (LISER), where dr. Veronique Van Acker supervises the project. We are seeking a candidate for a 4-year term. At Ghent University the PhD student will work at one of the leading universities in Western Europe. The SEG research group has conducted high-quality research on travel behaviour over the past years, collaborating intensively with experts in the field from universities abroad.

Project summary

In order to understand commuting satisfaction and how it changes over time, this project will use a life-oriented approach. This approach is based on a life course research design of mobility behaviour while also paying attention to the interaction with other life domains such as residential environment, employment and time use. Such a longitudinal research design adds a dynamic layer to the presently-dominant static interpretation of commuting satisfaction. The project will evaluate the interaction between commuting satisfaction and the decision to move to another residential location or to change workplaces.

Required qualifications

– MSc degree in Geography (and broader social sciences), Spatial planning, Transport planning/ engineering, or related field

– Excellent written and oral communication in English

– Knowledge of Dutch is an asset, but not a requirement

– Knowledge of statistical analyses (e.g., SPSS, AMOS), and GIS applications and techniques are an asset

– Familiarity with travel behaviour literature is an asset

Conditions of employment

We offer a full-time position (38 hours/week) for a period of four years (2 + 2 years). The net monthly salary is € 1897.76 minimum (depending on experience) + benefits. Employees of Ghent University have 39 days of (paid) leave per year. The PhD student will have office space at Ghent University’s campus “Sterre”. Ghent University is an equal employer institute.

Application instructions

All individuals interested in this position must submit a motivation letter and CV (in PDF) to prof. Frank Witlox (frank.witlox@ugent.be) and dr. Jonas De Vos (jonas.devos@ugent.be) by January 31th, 2019. The appointed PhD student is expected to start April 2019.

Disclaimer: This message has been sent to you because of your interest in this research domain. If, however, you do not want to receive any of my emails in the future, then send me a mail(nico.vandeweghe@ugent.be) with the subject “remove/opt-out”.

Nico Van de Weghe

Professor in Geomatics

T +32 9 264 47 12

Department of Geography

Research group CartoGIS

Campus Sterre, S8, Krijgslaan 281, B-9000 Ghent, Belgium (Office location)

2 PhD positions in Question-based Analysis of Geographic Information with Semantic Queries


Job description
https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4124&VacatureID=1012444

In the age of big data, geographic information has become a central means for data scientists of various disciplines to embed their analysis into a spatio-temporal context, from human mobility patterns and social inequality to the investigation of personal health. However, as the variety of data sources and software available on the Web increases, it becomes more and more impossible to comprehend and utilize all tools and data available to answer geo-analytical questions. Hence, whenever a functionality is needed but not available in one tool, analysts are forced to reformulate their questions in terms of technicalities of another tool or other datasets. This procedure does not scale with the increasing variety of geo-analytic sources on the web, preventing analysts from tapping its full potential. Consider, in contrast, how easy it is for a user of a digital smartphone assistant such as Amazon’s Alexa to ask a question like “What is the weather today?” and get back an answer from the Web. It would mean a tremendous breakthrough if analysts could similarly ask questions in order to get the tools and data required to answer them. Unfortunately, geo-analytic technology currently cannot handle questions.

To realize this vision, it is necessary to understand how geo-analytic resources can be captured with the questions they answer. The QuAnGIS project, a 5-year research project at Utrecht University, starting in January 2019 funded by the European Research Commission (ERC), develops a theory about interrogative spatial concepts needed to turn geo-analytical questions into a machine-readable form using Semantic Web and Question-Answering (QA) technology. Concepts include “spatial core concepts” field, object, network, event (Kuhn 2012), as well as analytical concepts such as accessibility, exposure, density, distance and aggregation. In this form, questions can be matched with the capacity of major analytical GIS tools and data sources on the Web.

The 2 PhD positions in this project focus on the semantic concepts required and the information technology needed to enable GIS analysts to formulate questions and to retrieve resources for analysis. This involves the following two questions:

  • PhD 1: How can geo-analytical questions be captured in terms of semantic queries in a machine readable way? This involves an ontological investigation into spatial concepts and geo-analytical questions in project scenarios and literature, into the expressiveness of query languages, as well as into technical interfaces to let users formulate spatial questions for analysis.
  • PhD 2: How can the intention of geo-analytical resources (data and tools) be described in terms of the questions they answer? This involves an investigation into GIS tools and their functionality in terms of spatial concepts, as well as standard web data sources, and how both can be linked using semantic concepts. The purpose is to build an integrated extensible Web repository about analytical tools and data sources.

Important tasks of the PhD candidates are:

  • conducting scientific research in the fields of Geospatial Semantics, Geographic Information Science, Ontology Engineering, and Semantic Web relevant to handling spatial questions and analytic resources;
  • collection and semantic description of geographic information scenarios for developing a gold standard of question-answers as well as analytic (web) resources for geospatial analysis (filling web repository with content);
  • perform user studies for specifying test scenarios and for testing both the question formulation interface as well as the tool/data repository with geospatial analysts;
  • publication of results in scientific journals and presentation in high quality international conferences in these fields;
  • organizing multi-stakeholder meetings and workshops to test and discuss the technology;
  • to develop teaching skills, students are also expected to contribute to the teaching programme of the Department of Human Geography and Spatial Planning to a limited degree (up to 10%).

Your responsibilities are:

  • start with the project in February or later in 2019;
  • meet the goals/deadlines as set out in the project proposal;
  • complete a PhD thesis within the 4-year contract period.
Qualifications
We seek 2 highly motivated PhD candidates who have a strong interest in thinking about data semantics as well as geographic analytics and appropriate technology.

They should have:

  • a MSc degree in Geographic Information, Computer Science, Data Science or Geography;
  • analytical skills and interest in geographic data analysis;
  • strong scientific writing skills;
  • interest in academic theory development and abstraction as well as theory application;
  • affinity with scientific research in Geospatial Semantics, GIScience or Semantic Web;
  • experience with Semantic Web technology, GIS technology or Data Science technology;
  • experience with Web data sources and corresponding APIs, such as OSM;
  • solid abilities in programming and application development are needed. Experience in Web programming, Semantic Web development or Machine Learning is a bonus;
  • independent, pro-active working style;
  • motivation to work in an international team;
  • excellent communication skills (written and verbally) in English.
Offer
You will initially be offered a full-time position for the duration of one year. Upon a good performance the contract will be extended to a total period of four years, with the specific intent that it results in a doctorate within this period.

The gross monthly salary starts at €2,266 in the first year, and ends at €2,897 in the fourth year (scale P Collective Labour Agreement Dutch Universities). The salary is supplemented with a holiday allowance of 8% per year and an end-of-year bonus of 8.3%. In addition, we offer a pension scheme, collective insurance schemes and flexible employment conditions.

Facilities for sports and child care are available on our main campus (where the Department of Human Geography and Spatial Planning is situated), which is located only 15 minutes away from the historical city centre of Utrecht.

About the organization
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major societal themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Sustainability.​_

The city of Utrecht is one of the oldest cities in the Netherlands, with a charming old centre and an internationally oriented culture that is strongly influenced by its century-old university. Utrecht city has been consistently ranked as one of the most liveable cities in the Netherlands.

The Faculty of Geosciences conducts education and research concerning the geosphere, biosphere, atmosphere and anthroposphere. With a complement of 2,600 students (BSc and MSc) and 600 staff, the Faculty is a strong organisation. The Faculty is organised in four Departments: Innovation, Environmental & Energy Sciences, Earth Sciences, Physical Geography, and Human Geography & Spatial Planning.

The Department of Human Geography and Spatial Planning has its focus on the enhancement of long-term economic developments of cities, how to cope with social inequalities and how to ensure a healthy urban living. Research on these topics takes place within our research programme “Urban Futures: Transitions Towards Economic and Social Sustainability for Cities”.

Our research programme is the basis for our Research Master Human Geography and Geographical Information Management and Applications (GIMA) and Professional Master in Human Geography, International Development Studies and Spatial Planning. The Department runs also a large and highly appreciated Bachelor Programme and is part of the Netherlands Graduate School of Urban and Regional Research for PhD candidates.

The project team is part of a new Geographic Information Methods (GIM) interest group within the Social Urban Transitions (SUT) research programme in the Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University. It is linked to the Healthy Urban Living research group comprising a wide variety of researchers, for instance with backgrounds in transport Geography, Epidemiology, Urban Geography, and Health Sciences. It is also linked to the Vitality Data Centre, a project involving data scientists and researchers interested in methods for assessing physical activity and health.

Additional information
Additional information about the vacancy can be obtained from Dr. Simon Scheider via s.scheider@uu.nl.
Apply
To apply, please use the button below and attach a letter of motivation, curriculum vitae (in English) and e-mail address of at least one referee.

In your motivation letter, please indicate your priority with respect to the two PhD topics.

Apply before December 7, 2018. Interviews will be held in January 2018. The candidate is expected to start in February 2018 or later.

The application deadline is
09/12/2018

PhD position in cloud-based storage models for LiDAR data


PhD position in cloud-based storage models for LiDAR data

A doctoral candidate in computer science is sought to join an interdisciplinary, multinational team, to develop better risk communication tools for urban dwellers at risk of flooding. A PhD fellowship is offered in the School of Computer Sciences, University College Dublin. The position is funded through the international, multi-disciplinary collaboration “UrbanARK: Assessment, Risk Management, & Knowledge for Coastal Flood Risk Management in Urban Areas”, a US-Ireland R&D Programme Funded project that will bring together teams from New York University in the US, Queens University Belfast in Northern Ireland, and University College Dublin in Ireland.

The PhD researcher will join multiple new research posts funded by the UrbanARK project across QUB, UCD and NYU and supported by the UrbanARK research team of eight (8) leading academic researchers.  The multinational project brings together leading researchers across the areas of geomatics, spatial data analysis, hydrology, computer science and risk communication to investigate innovative approaches for the collection and management of spatial data to refine flood risk assessments for urban coastal cities and to support immersive risk communication tools.

The successful applicant will work to develop a new cloud-based storage model combined with new methods for parallel query processing in the context of flood risk assessment under the supervision of Prof. Michela Bertolotto (https://www.cs.ucd.ie/AcademicProfile/MichelaBertolotto) and Dr. Nhien-An Le-Khac (https://www.cs.ucd.ie/AcademicProfile/NhienAnLeKhac/). Applicants should have experience and/or interest in high performance computing, spatio-temporal databases, cloud computing, Map-Reduce programming, advanced information systems, and data analytics.

Eligibility criteria: applicants should hold a first or upper second class honours undergraduate degree and/or or an MSc in a relevant subject.

The scholarship covers the University fees and a stipend averaging €18,500 per annum for the duration of four years. The application should include a cover letter and curriculum vitae (including the names and contact details of two referees), an example of your writing (e.g., publication, thesis, report, dissertation, etc.), and should be sent to Prof. Michela Bertolotto (michela.bertolotto@ucd.ie) or Dr. Nhien-An Le-Khac (an.lekhac@ucd.ie).

Expected start date: Jan. 1st, 2018.

Deadline for applications: Nov. 20th, 2018.