PhD candidate in the area of Mobility Information Engineering


The Institute of Cartography and Geoinformation is looking for a highly motivated PhD candidate in the area of Mobility Information Engineering at the Chair of Geoinformation Engineering (http://www.gis.ethz.ch), starting at the earliest possible date.

PhD position – Mobility Information Engineering
https://apply.refline.ch/845721/5368/pub/en/index.html

The main objective of this PhD position is the development and testing of innovative computational methods for the analysis and simulation of human mobility based on spatio-temporal data. This research will be linked to the Swiss Competence Center for Energy Research – Efficient Technologies and Systems for Mobility (SCCER Mobility) and the SBB Green Class project (http://mie-lab.ethz.ch/projects). The PhD project will be associated with the Mobility Information Engineering Lab (http://mie-lab.ethz.ch) 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 mobility. Knowledge of methods in spatial analysis as well as strong programming skills (e.g., Java, Python or C++) are required. The candidate must have good communication skills in English (oral and writing), be team-oriented and willing to work in an international environment.
For further information about the position, please contact Dr. David Jonietz at jonietzd@ethz.ch (no direct applications, please).
Applications including your 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 should be sent online to: ETH Zurich, Mrs. Corina Niescher, Human Resources, 8093 Zurich. Applications via email or regular mail will not be considered. Review of applications will begin on July 1st, 2017, and continue until the position is filled.

Nabídka brigády pro studenty


Možnost přivýdělku pro studenty v odpoledních hodinách na učebnách Institutu geoinformatiky a Institutu ekonomiky a systémů řízení v příštím školním roce 2017/2018! Jedná se o dozor na učebnách od 14:00 do 20:00 v semestru a od 14:00 do 18:00 ve zkouškovém období. Primárně jde o zpřístupnění učebny pedagogům pro výuku. Lze zkoordinovat i s vlastní výukou brigádníků na budově J.

Hledá se 4 až 5 studentů, 50 Kč/hod. (1-2 dny v týdnu/studenta). Kdo máte zájem, ozvěte se do konce semestru paní Kodymové (místnost J430, kl.4423).

Student Innovation Challenge 2017


Bearing the motto “Bridging IoT and Sensor Web Applications”, the 52°North Student Innovation Challenge stimulates students to generate and implement innovative ideas and concepts for a specific topic in the GeoIT domain. It also acknowledges and rewards creative and innovative minds.
52°North invites students of Geoinformatics, Informatics or related fields to submit proposals exploring the link between IoT and Sensor Web technology. The top three applicants will then implement proofs of concepts and present their project results at the Geospatial Sensor Web Conference 2017.
The 52°North Student Innovation Challenge is endowed with 3.500,- EUR.
Current Call for Proposals is online (http://52north.org/innovationprize)

Application deadline is May 7, 2017!

Please feel free to contact us with any questions.

Contact
52°North Initiative
Ann Hitchcock
52nprize@52north.org,
Tel. +49 (0)251 396 371 -0

The innovation prize is sponsored by 52°North GmbH, con terra GmbH, Esri Deutschland GmbH, the Institute for Geoinformatics at the University of Muenster and the Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente. These institutions work together under the banner of the 52°North Open Source Initiative to promote research and education in the field of Geoinformatics.

University of Canterbury, Ph.D. studium


The GeoKEA research group (http://geokea.ac.nz) in the University of Canterbury department of geography is offering a fully-funded full-time 3 year PhD scholarship in the area of geographic data science. Particular topics of interest in our group include analytics on unstructured geospatial data (such as text and images), geographic information retrieval and exploratory search user interfaces (see e.g., http://frankenplace.com), artificial intelligence and deep learning for geographic knowledge discovery, spatial-temporal digital humanities, and cognitive modelling and geosemantics. As part of the position you will have the opportunity to utilize high-performance computing systems and work with big data. For more information and application instructions please follow this link: https://darwinzer0.github.io/geokea/post/phd_scholarship/

Ph.D. studium University of Melbourne


Your PhD research will contribute to a project at the forefront of fundamental AI and spatial information research: Making computers understand common language about place. This project, funded by the Australian Research Council (2017-2019), will deliver the computational methods to capture, model, process, and interact on human place knowledge, which conceptualizes places and their relations, instead of using coordinates and maps. The outcomes will enable human-machine interaction that is capable of responding to human intuition.

The project engages in research in artificial intelligence, language technologies, and spatial information science – you will work in an interdisciplinary environment. The project is also geographically spread between The University of Melbourne, the Australian National University in Canberra, and the University of California, Santa Barbara. The scholarships, however, are allocated to the two Australian universities, which are Australia’s leading research universities.

We seek applicants covering one of the following tasks:

  1. Capture (Melbourne: led by Tim Baldwin). This task addresses the extraction of place knowledge in conversational context from large-scale text corpora such as social media and web sources, or crowd-sourced from mobile apps.
  1. Modelling (Melbourne: led by Stephan Winter). This task addresses the representation of extracted place knowledge in place graphs, especially the representation of context with places and their relationships.
  1. Reasoning (Canberra: led by Jochen Renz). This task addresses context-sensitive spatial reasoning beyond maintaining a locally consistent database. We expect to make progress on this long avoided challenge by considering the spatial context derived from the integration of place knowledge and maps.
  1. User Interaction (Melbourne: led by Martin Tomko). This task addresses the user interaction with a place graph, enabling users to query or modify stored data by developing methods answering user queries taking into account the context of the querying user.

 

Selection Criteria

* Masters or Honours Degree in Computer Science, Geodesy/Geomatics/Geoinformatics, or another relevant discipline;

* A weighted average mark at least satisfying the entry requirements of the PhD programs at the respective universities;

* Demonstrated ability to perform independent research (e.g., by a research component in the master degree);

* Excellent written and verbal communication skills to technical and non-technical audiences (e.g., demonstrated in the written application and interview);

* Software development skills;

* Ability to work in (at least one of) spatial data handling and analysis, database systems, machine learning, natural language understanding, and artificial intelligence;

* Ability to work co-operatively in a multi-disciplinary environment and team.

 

Benefits

Scholarships are for three years, with the expectation to complete a PhD in this time-frame. The universities have excellent environments and frameworks to support PhD research. Also, successful candidates will be provided a tuition fee waiver. Scholarships are sufficient to cover living costs in Melbourne or Canberra. The project also provides funds for conference travels commensurate with opportunity.

How to apply

Send your letter of application (addressing the selection criteria, and identifying the particular task of interest), a CV, and a transcript of your last degree per email to the project leader, Prof Stephan Winter (winter@unimelb.edu.au).

The application deadline is 20 March 2017, for a start later in 2017. Selection is pending admission at the respective university and visa processes.

Postdoktorské studium Arizona State University


The School of Geographical Sciences and Urban Planning (SGSUP) at Arizona State University (ASU) seeks applications for three Postdoctoral Research Associates in association with the Spatial Analysis Research Center (SPARC), a newly formed center on GIScience and earth observing.

Areas of ongoing research include:  wildlife movement, mobility, big data, GWR, transportation, cyberinfrastructure, spatial modeling, machine learning, and earth observing.

For more information see: https://geoplan.asu.edu/sites/default/files/sparc_post_doc_long_ad.pdf