PhD position in geo-computational exposure assessment modeling


https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-student-developing-a-model-of-geo-computational-exposure-assessment-for-studying-health-effects

PhD student: Developing a model of geo-computational exposure assessment for studying health effects of urban environmental risk factors in Exposome-NL (1.0 FTE)

Deadline: 30 October 2020

The environment we live in has a significant impact on our health, explaining an estimated 70% of the non-communicable chronic disease burden. A large number of environmental stressors may jointly affect our health. Leading scientists in Europe and the USA have formalized this perspective as the Exposome concept: the sum of all non-genetic drivers of health and diseases. Interacting with the genome, it defines individual health at different stages throughout the life course.

There is a need to scale up and generalize the different ways how the general external Exposome can be measured in terms of diverse (geo)data sources and (geo-)computational methods. Environmental factors have been modelled in different forms, including spatial fields (continuous value surfaces), spatial objects (discrete spatially bounded entities), events (spatially and temporally bounded entities) and networks (quantified relations between objects). In the past, approaches for different environmental stressors have been less systematic, ranging from simplistic point-in-polygon tests and buffer based approaches to network-based interaction measures on different computational platforms.

The ambition of this project is to generalize computational models over different sorts of data, spatial information concepts (field, object, event and network) and computing infrastructures (desktop-based, database, cloud-based, and distributed). This includes developing semantic models of the different sorts of environmental factors, data sources and problem sizes, as well as semantic models of the different geo-computational transformations needed for assessing exposure. It also includes an investigation into scalable computational infrastructures (such as parallelization and cloud computing) and prototypical implementations for deploying exposure models for large problem sizes.

We are looking for a colleague who has a completed Master’s degree in computational geoscience, data science, GIScience, computer science, or a related discipline, with a strong interest in environment and health. We prefer colleagues with experience in conceptual modeling of geographic information and GIS workflows. You will work in a multi-center study funded by the prestigious Gravitation programme of the Dutch research funding organization NWO. Exposome-NL is a 10-year research programme of multiple Dutch universities.

Best regards,

-- 
Simon Scheider

Human Geography and Spatial Planning
Universiteit Utrecht

Vening Meineszgebouw A
Room 6.16
Princetonlaan 8a
3584 CB  UTRECHT
The Netherlands

+31 30 253 2966

http://www.uu.nl/medewerkers/SScheider
https://questionbasedanalysis.com/

PhD studentship at the intersection of GIScience and movement ecology


Sonar or Magnetism: exploring bat migration using a data science approach
We are looking for a candidate for a fully-funded interdisciplinary PhD studentship at the University of St Andrews, funded by the IAPETUS Doctoral Training Programme:

This project is at the intersection of GIScience and movement ecology: student will use data science to explore how migratory bats use information from Earth’s magnetic field for navigation. The student will fuse satellite geomagnetic data from ESA’s Swarm constellation with bat tracking data and then apply movement analytics to investigate migratory patterns.
The project is supervised by Urska Demsar (University of St Andrews), Ana Basiri (University of Glasgow), Ciaran Beggan (British Geological Survey), Jed Long (Western University, Canada) and Kamran Safi (Max-Planck Institute for Animal Behaviour, Germany)

We are looking for a student with an excellent degree (preferably MSc), potential prior research experience and experience in coding in Python. The competition is open to UK, EU and international students. The funding covers 3.5 years including tuition fees, maintenance stipend and research expenses.

For more information see: https://udemsar.com/2020/11/09/a-fully-funded-phd-studentship-in-giscience-ecology/

DL for expressions of interest is 10 Dec 2020.

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

Co-Director of the Bell Edwards Geographic Data Institutehttp://begin.wp.st-andrews.ac.uk/
Associate Editor, International Journal of Geographic Information Sciencehttps://www.tandfonline.com/toc/tgis20/current

Doctoral Position in Geoinformatics / Cartography at ETH Zurich


The Institute of Cartography and Geoinformation at ETH Zurich is searching for a highly motivated doctoral student for the interdisciplinary project EMPHASES.

The research topic will focus on the extraction and vectorization of features from historical maps by utilizing/improving Deep Learning/Computer Vision techniques.

Detailed information can be found at https://jobs.ethz.ch/job/view/JOPG_ethz_FmFxlyrC4uEwKRVEaR

Please, forward the offer to suitable candidates.

Thank you very much and kind regards

Magnus Heitzler

Two open PhD positions at Department of Physical Geography and Ecosystem Science, Lund University, Sweden


We have two open PhD positions at Department of Physical Geography and Ecosystem Science, Lund University, Sweden. 

Below are links to details of the two positions. 

Position-1: Doctoral student in remote sensing and ecosystem modelling (last application date: 30 September 2020)

Swedish

https://lu.varbi.com/se/what:job/jobID:347255/type:job/where:4/apply:1

English

https://lu.varbi.com/en/what:job/jobID:347255/type:job/where:4/apply:1

Position-2: Doctoral Student in hydrological modelling and remote sensing (last application date: 15 September 2020)

Swedish

https://lu.varbi.com/se/what:job/jobID:345646/type:job/where:4/apply:1

English

https://lu.varbi.com/en/what:job/jobID:345646/type:job/where:4/apply:1

We appreciate your help in spreading these announcements to suitable applicants. 

Best regards,

Zheng Duan

——————————————————————————

Zheng Duan

Department of Physical Geography and Ecosystem Science

Lund University, Sweden

Address: Sölvegatan 12, SE-223 62 Lund, Sweden

Office telephone: +46 46 2224083 (office) 

Webpage: https://www.nateko.lu.se/zheng-duan  

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

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

PhD position (1.0 FTE) for 4 years in Question-based Analysis of Geographic Information with Semantic Queries


The following vacancy for a PhD position in the QuAnGIS project is available at Utrecht University, NL (application deadline 16 February 2020):

https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-10-fte-for-4-years-in-question-based-analysis-of-geographic-information-with-semantic

Could you please forward this post to your network and to suitable candidates? The project is about question-answering (QA) on geographic information.

Best regards,

-- 
Simon Scheider

Human Geography and Spatial Planning
Universiteit Utrecht

Vening Meineszgebouw A
Room 6.16
Princetonlaan 8a
3584 CB  UTRECHT
The Netherlands

+31 30 253 2966

http://www.uu.nl/medewerkers/SScheider
https://questionbasedanalysis.com/

U-Mass Amherst 1-year M.S. in GIST seeking applicants


The UMass Amherst Geography Program in the Department of Geosciences is  seeking applicants for the accelerated 1-year Masters in Geography –  Geographic Information Science and Technology (GIST) program for the  2020-2021 academic year.

The program is designed to provide a solid foundation and diverse set of  knowledge, skills and practices in geospatial technologies.  Highly-motivated students and professionals will emerge from the program  with applied experience and a broad GIS skillset applicable towards  diverse professional opportunities through rigorous coursework and  hands-on project opportunities. Core courses include Geographic  Information Systems (GIS), remote sensing, and spatial analysis with  optional course topics ranging from Cartographic Design and WebGIS to geospatial database management and unmanned aerial systems (drones).

Students in this program have the opportunity to engage with the  background in the science, techniques, and application of geospatial  skills, enabling them to embark on a public or private sector career in geography, planning, public policy, ecology, environmental science and other fields. Coursework is undertaken in both the Fall and Spring semesters with a required summer internship.

Courses in GIST at UMass-Amherst are offered at our Amherst campus and the Mt. Ida campus in Newton, MA.

For more information about the program, including the courses we offer, how to apply, and cost, please visit http://clicks.memberclicks-mail.net/wf/click?upn=8QsjVQ-2B3um7rWxLmpafxi8pSXkKP0LNtAFUlNCBJ4HqT44v45K1AygsfyWJvEpmjFv8fUYcZDuCzon87-2BdWT1Q-3D-3D_uZ8O0vGvxW8ycgP0EGD4dotdRQxMhdx7e-2FZD4PZ5iMyTUWNpEIqktOna-2FrHh7CcTNVY2B8GJCrVPMpZS5hpDcgW4x0XNpkAJmBzZUZn1pNAcIblm7OP293iHtF0L2BpUvaKvuGZHE1Mfi4bSupkABkq-2BVHSQ6a3eUL2DwhrYrh9-2F-2FSlsKaM-2FNF9iJTzf561k-2Fz25A7YlgQxQ27NIQz24z-2B8vifCyM2ffjlpX99LOFx5fAbIifojOg688t0Lu3e5yPXxMX41y-2Fi8Wfv0ADJqTBPXACpAMjEYGKlhFLTrzkef11dxeaE-2BDRCglhl7pW7HLbDyoTZEzqkI94XMdEXM5JShb63hfgIG24Z-2BITFtgMY4-3D or contact Dr. Forrest J. Bowlick at fbowlick@umass.edu.

We would love for folks to get their applications in by February 1st, 2020 but will also be accepting applications after that date.

Ph.D. and Postdoctoral research positions at the UCSB Geography Department


Two postdoctoral research fellow positions at the University of California Santa Barbara
The MOVE Laboratory (http://move.geog.ucsb.edu) at the Geography Department at UC Santa Barbara is seeking applications for two postdoctoral research fellowswith an anticipated start date as early as 15 January 2020. Candidates are expected to hold a Ph.D. in GIScience, Geography, Cartography, Computer Science, or Data Science. The successful candidates will have strong quantitative and analytical skills and research experience in areas such as machine learning, movement pattern mining, artificial intelligence, geovisualization, visual analytics, spatial cognition,  human behavior studies. Experiences and knowledge of experiment design, especially in the area of spatial cognition is desirable. The postdoctoral fellows will be engaged in multidisciplinary research on two different projects to develop and evaluate cartographic and data science approaches to studying movement in different contexts including human mobility, migration, health geography, movement ecology, and natural hazards and earth system sciences. Please find more information about the positions here. The review of applications begins on 15 December 2019 and it will continue until the positions are filled. For any inquiry or to submit your application, please contact Dr. Somayeh Dodge (sdodge@ucsb.edu). Ph.D. positions at the University of California Santa Barbara
The MOVE Laboratory (http://move.geog.ucsb.edu) at the Geography Department at UC Santa Barbara is seeking Ph.D. students. We are looking for talented students with a strong quantitative background in GIScience, Geography, Computer Science, or Data Science, and interest in movement and mobility. Our group focuses on the study of movement using data science and geo-computational approaches, including movement data analytics, pattern mining, machine learning, geovisualization, AI, modeling, and simulation. The students will be engaged in multidisciplinary research to develop data science approaches to study movement in different contexts including human mobility, migration, health geography, movement ecology, and natural hazards and earth system sciences. Please find more information about the application process at https://geog.ucsb.edu/graduate-admissions/. The application deadline is December 15th, 2019. If you are interested in this opportunity, please contact Dr. Somayeh Dodge (sdodge@ucsb.edu) before submitting your application.

Somayeh Dodge
Assistant Professor
Department of Geography
Web: http://move.geog.ucsb.edu/
Email: sdodge@ucsb.edu

PhD Position – TU Vienna – SpatialHCI Lab


The Geoinformation Group at TU Vienna in Austria is looking for a PhD Student, starting the earliest possible.

We welcome applications from students that are enthusiastic about working in the area of Human-Computer Interaction and Geographic Information Science. During this 4 years position, the main focus will be on spatial interaction modalities and human activity recognition using a variety of sensors. The research is expected to lead to publications and a PhD dissertation for the student.

Qualifications and Skills

The ideal candidate must have an academic degree (Master Degree or equivalent) in a relevant field (e.g., Geographic Information Science, Computer Science, Media Informatics, Information Science), as well as strong research interests in Geographic Information Science and Human-Computer Interaction.

Good programming skills (e.g., C#, Python) and analytical thinking are required. Experience in Machine Learning and Empirical Research is highly desirable. Experience with one or more of the following is a plus: AR/VR, Unity, Eye Tracking. Furthermore, the candidate must have good communication skills in English (oral and written) and be a team player.

Contract information

·       4 years position not tied to a project

·       30h/week employment

·       Minimum 2.148,38 Euro gross (14 x per year)

Application Documents

·       Motivation letter

·       A Curriculum Vitae

·       A copy of education degrees: e.g. bachelor degree, master degree, etc.

·       Course transcripts, GPA (grade point average)

·       Reference letters are welcome

Application Deadline: 7. January

Please send your application documents (one file) to barbara.triebl-kraus@tuwien.ac.at

If you have any questions, you can write to geoinfo@geo.tuwien.ac.at

Web: geoinfo.geo.tuwien.ac.at

Twitter: geoinfo_tuv

YouTube: Geoinformation TU WIEN