Position in visualization at Graz University of Technology

http://www.icg.tugraz.at/News/open-position-university-assistant-with-doctorate-tenure-track-working-area-gpu-supported-visualization

Working area: GPU-supported Visualization
Description

This fulltime employment position (40h/week) is initially restricted to six years and offers the possibility of a qualification agreement for a tenured position. The employment is expected to start on March 1, 2017, and will be part of the Institute of Computer Graphics and Vision.

The position requires a completed PhD degree in computer science or a similar field.

We expect the following qualifications:

*    Excellent scientific qualification in GPU supported visualization and novel GPU technologies
*    International scientific publications
*    Experience with acquisition, management and scientific supervision of research projects
*    Experience in establishing a research group
*    Track record of scientific achievements, such as international prizes or awards
*    Teaching experience in relevant subjects
*    Network in the scientific community

Your job will involve the following duties:

*    Research on GPU supported visualization and GPU technologies, with the goal to earn international scientific reputation and visibility
*    Top-level international publications
*    Acquisition of third party funding for research (FFG, FWF, industrial projects)
*    Supervision of bachelor and master theses and support in the supervision of PhD students
*    Independent teaching in the bachelor and master program and introducing students to the world of visual computing
*    Service in the academic administration

The position will be paid according to category B1 of the collective contract of Austrian universities, stipulating a gross salary of € 3978,30 (14x per year).

Graz University of Technology aims to increase employment of women in leading positions and as part of the research staff. We specifically encourage qualified women to apply. Please note that, all other aspects equal, women will be preferred in hiring.

Applications with supporting documents (copies of certificates and diplomas, CV, publication list, description of scientific and professional career, overview of previous and planned research and teaching, teaching evaluations if available) should be submitted preferably by email to informatik@tugraz.at and should quote the position identifier.

End of application period: 16 Dec 2016, Position identifier: 7100/16/017

PhD student position in urban data viz at Ecole Centrale de Nantes

Visualization of multi layered spatio-­‐temporal 3D urban datasets

Keywords: urban data, geovisualisation, user study

Background, Context:

The understanding of complex spatio-­‐temporal urban data is a critical challenge in urban planning as the stakeholders have to take into account numerous constraints related to various domains embedding sustainable, social and economical concerns.

To tackle this problem, geovisualization uses methods based on human perception and cognition to show the underlying meaning of spatio-­‐temporal datasets. This PhD thesis proposes to explore visualization methods in various 3D environments (Desktop, VR, AR, SAR) to find the best solution for a given user task (exploration, decision) at a given

urban scale (building, street, district, etc.).

This PhD in information visualization takes place into an pluridisciplinary environment (computer science, geoinformation, humanities): the CRENAU team of the AAU lab (http://crenau.archi.fr/),which is a founding member of the IRSTV research institute (www.irstv.fr), and the IVC team of the IRCCyN lab (http://www.irccyn.ec-­‐ nantes.fr/fr/equipes/ivc). 

Research subject, work plan:

The work is about displaying spatio-­‐temporal urban data in an effective way. Based on the user's profile, behavior and task, the most appropriate visualization type and data quality will be estimated. More precisely, this PhD thesis proposes to consider each data as a layer that will be processed according to the data type and the required levels of detail as well as the display context. The data model will be based on standards

currently used in GIS and/or BIM communities. User tests will be conducted to evaluate

the quality of proposed solutions. The research challenges include both visualization solution proposal and the construction of an evaluation framework for information visualization.  

Contacts:

-­‐     Vincent Tourre: vincent.tourre@ec-­‐nantes.fr

-­‐     Guillaume Moreau: guillaume.moreau@ec-­‐nantes.fr

-­‐     Patrick Le Callet: patrick.lecallet@univ-­‐nantes.fr

References:

E. Bertini, A. Tatu and D. Keim. Quality metrics in high-­‐dimensional data visualization: an overview and systematization. IEEE Transactions on Visualization and Computer Graphics, pages 2203–2212, 2011.

Biljecki F, Stoter J, Ledoux H, Zlatanova S, Çöltekin A. Applications of 3D City Models: State of the Art Review. ISPRS International Journal of Geo-­‐Information. 2015; 4(4):2842-­‐

2889.

R. Chang, G. Wessel, R. Kosara, E. Sauda and W. Ribarsky. Legible cities: Focus-­‐dependent multi-­‐resolution visualization of urban relationships. IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pages 1169–1175, 2007.

S. Haroz and D. Whitney. How capacity limits of attention influence information visualization effectiveness. IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pages 2402–2410, 2012.

R. Maciejewski, S. Rudolph, R. Hafen, A. Abusalah, M. Yakout, M. Ouzzani and D. S. Ebert. A visual analytics approach to understanding spatiotemporal hotspots. IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 2, pages 205–220,

2010.

B. Pan, Y. Zhao, X. Guo, X. Chen, W. Chen and Q. Peng. Perception-­‐motivated visualization for 3D city scenes. The Visual Computer, vol. 29, no. 4, pages 277–286, 2013.

M. Trapp, T. Glander, H. Buchholz and J. Döllner. 3D generalization lenses for interactive focus+context visualization of virtual city models. In Proceedings of 12th International Conference on Information Visualisation, IV’08, pages 356–361. IEEE, 2008.

A. Vande Moere, M. Tomitsch, C. Wimmer, B. Christoph and T. Grechenig. Evaluating the Effect of Style in Information Visualization. IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pages 2739–2748, 2012.

Required skills:

MsC in computer science. Knowledge in visualization or HCI would be a plus.

To send:

Application letter, CV, Master results, coordinates of one or two referees

Up to two fully-funded PhD positions available in the area of Linked Data Engineering and Semantic Sensor networks for Augmented Reality at the Australian National University in Canberra, Australia

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Application deadline: Dec 12, 2016

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The Research School of Computer Science at the Australian National University in collaboration with Data61 of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) is seeking up to two highly motivated and dedicated PhD candidates to work on challenging, innovative, and interdisciplinary research projects at the intersection of Linked Data, ontology engineering, the Internet-of-Things and Augmented Reality.

The PhD will address requirements in discovering and managing data originating in the growing Internet-of-Things, while taking advantage of Augmented Reality to interact with such environments. The issues to be addressed are in identifying and assessing sensor data, using Web technologies, and managing its integration through ontologies while allowing for real-time search.

Candidate Profile

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Candidates should meet the following requirements:

- A degree in Computer Science, Information Systems or a closely related field from a world class university, or a highly regarded university in your country with academic success in the top 5% of your class, or in the top 10% of your class with substantial research experience and academic referees willing to strongly support your application.

- Excellent Programming skills in languages such as Java, Python and JavaScript;

- Strong formal background (mathematics, logic, etc.);

- Familiarity with real time 3D graphics and/or computer vision;

- Knowledge and experience within the fields of the semantic Web, Web services (REST), cloud computing, data modelling, data engineering, and development skills will be highly regarded;

- Data science programming skills, such as R, MapReduce/Hadoop/SPARK, HIVE, NoSQL, and, JSON are a bonus;

Candidates should be able to work in a collaborative, multi-cultural environment with a strong commitment to achieving research excellence. The ANU is an equal opportunities employer and preference will be given to suitably qualified women, persons with disabilities or indigenous applicants, all other considerations being equal.

Location: Australian National University, Canberra, ACT, Australia

* Scholarship funding is available immediately, 3-year term

* From AUD $26,000 to AUD $36,000 per annum scholarship depending on top-ups

* Potential to supplement scholarship with teaching and tutoring work

Application Procedure

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Interested candidates are requested to send their application to armin.haller@anu.edu.au and Matt.Adcock@data61.csiro.au in a SINGLE PDF file with the subject “[PhD]” including:

- A cover letter describing yourself and your research interests

- CV (including links to your publications, e.g. master thesis, conference/workshop/journal papers, if applicable)

- Transcripts

- Proof of proficiency in English (e.g. TOEFL or IELTS test results) if English is not your first language

Australian National University

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The Australian National University is Australia’s premier university, ranked 1st in Australia by the 2016/17 QS World University Rankings and 2nd the 2015/16 Times Higher Education. It is located in the nation’s capital, Canberra, with Australia’s largest urban campus (1.45 square kilometres).

The Research School of Computer Science (https://cs.anu.edu.au/) focuses on applying foundational computing research on real-world challenges that demand the use of multiple conceptual and methodological approaches. The successful candidate will work on collaborative projects with the quantitative imaging group of Data61. The candidate will also be embedded in the international network of the Research School, and among other collaborations will work in the Spatial Data on the Web working group of the W3C.

http://www.anu.edu.au

CSIRO Data61

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Data61 are the largest data innovation group in Australia, a connector that brings together technology innovators, businesses and universities to transform Australian industry and to help solve our greatest challenges. A CSIRO business, we are creating our data-driven future.

http://www.data61.csiro.au

Assistant Professor in Visual Computing at the University of Victoria

The Department of Computer Science in the Faculty of Engineering at the University of Victoria is seeking applications for up to four tenure track faculty positions (up to two positions in visual computing: computer vision and computer graphics) at the assistant professor level with an expected start date of July 1, 2017.

The deadline for the submitting the application is December 15, 2016. 

Applications should be submitted at: http://academicjobsonline.org/ajo/jobs/8488

PDF version of the advertisement:

http://gfx.uvic.ca/CSC_UVIC_Faculty_Posting_2016.pdf

Junior Research Group Program at the Max Planck Center for Visual Computing and Communication

Max Planck Institute for Informatics

The Max Planck Center for Visual Computing and Communication (MPC-VCC) was established as a joint program by the Max Planck Society for the Advancement of Science (MPG) and Stanford University in 2003 (http://www.mpc-vcc.org).

With this call the Max Planck Center for Visual Computing and Communication (MPC-VCC) invites applications for its

Junior Research Group Program

Our Junior Research Group program offers young scientists in information technology the opportu­nity to develop their own research program addressing important problems in areas such as

·         image communication

·         computer graphics

·         geometric computing

·         imaging systems

·         computer vision

·         human machine interface

·         distributed multimedia architectures

·         multimedia networking

·         visual media security.

The center includes an outstanding group of faculty members at Stanford’s Computer Science and El­ectrical Engineering Departments, the Max Planck Institute for Informatics, and Saarland University.

      The program begins with a preparatory 1-2 year postdoc phase (Phase P) at the Max Planck Institute for Informatics, followed by a two-year appointment at Stanford University (Phase I) as a visiting assistant professor, and then a position at the Max Planck Institute for Informatics as a junior research group leader (Phase II). However, the program can be entered flexibly at each phase, commensurate with the experience of the applicant.

      Applicants to the program must have completed an outstanding PhD. Exact duration of the preparatory postdoc phase is flexible, but we typically expect this to be about 1-2 years. Applicants who completed their PhD in Germany may enter Phase I of the program directly. Applicants for Phase II are expected to have completed a postdoc stay abroad and must have demonstrated their outstanding research potential and ability to successfully lead a research group.

      Reviewing of applications will commence on 01 Jan 2017. The final deadline is 31 Jan 2017. Applicants should submit their CV, copies of their school and university reports, list of publications, reprints of five selected publications, names of 3-5 references, a brief description of their previous research and a detailed description of the proposed research project (including possible opportunities for collaboration with existing research groups at Saarbrücken and Stanford) to:

     

      Prof. Dr. Hans-Peter Seidel

      Max Planck Institute for Informatics,

      Campus E 1 4, 66123 Saarbrücken, Germany;

      Email: mpc-vcc@mpi-inf.mpg.de

The Max Planck Center is an equal opportunity employer and women are encouraged to apply.

Additional information is available on the website www.mpc-vcc.org

Postdoctoral Fellow in Virtual Reality at HIT Lab NZ

Postdoctoral Fellow in Virtual Reality
The Human Interface Technology Laboratory NZ (HIT Lab NZ)

•        Full-time at 37.5 hours per week (1.0 FTE)
•        3 year fixed term position

The Human Interface Technology Laboratory NZ (HIT Lab NZ) at the University of Canterbury is offering a three year postdoctoral fellowship to a motivated individual with a research background in Virtual Reality to work with a highly skilled team of outstanding experts on an externally funded research project.

As the successful applicant, you will undertake research in the design, implementation, evaluation, and deployment of multisensory feedback techniques in immersive Virtual Reality (VR) systems.

You will require a Ph.D. in Computer Science or a related field.

The HIT Lab NZ is a world leading research facility focused on the human-centred design of technology.  Our mission is to support and empower people through the study, invention, development and dissemination of technologies and processes that solve real-world problems and have positive impact.

For more information on the HIT Lab NZ, visit: http://www.hitlabnz.org

Download the full Position Description

The University of Canterbury is committed to promoting a world-class learning environment through research and teaching excellence, and has a vision statement of “People Prepared to Make a Difference”.  You will have the opportunity to work alongside members of a diverse academic community and enrich your own professional and personal development.

For information about the range of benefits in joining UC please visit us online at: http://www.canterbury.ac.nz/joinus

The closing date for this position is: 9 December, 2016

Applications for this position should include a cover letter, resume and any additional attachments combined into one document and submitted online. Providing a URL to a web page containing supporting materials, such as publications is encouraged.

Please ensure your application is uploaded as a single pdf file and that the file name is your surname, followed by your initial.

For further information about the position, please contact Ken Beckman, Director of the HIT Lab NZ: ken.beckman@canterbury.ac.nz

Internal candidates should apply via the Careers option in Employee Self-Service: https://ucpeople.canterbury.ac.nz

The University of Canterbury is an EEO employer and actively seeks to meet its obligation under the Treaty of Waitangi.

Faculty hiring in HCI at Virginia Tech

Several departments at Virginia Tech are advertising faculty positions in HCI and related areas, to complement our existing strengths in HCI, including VR, AR, and gaming. These positions are in Computer Science, School of Visual Arts, English, and Communication.

http://www.hci.vt.edu/hiring.php