Open PHD position on Visual Abstraction at Inria, France

Call for applications for PhD project:

Spatially Integrated Abstraction of Genetic Molecules

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We look for candidates for a fully-funded PhD position that takes place within a scientific initiative of studying, understanding, and formalizing visual abstractions. By considering abstraction as a general transformation from data into meaningful visual stimuli, the project will address aspects of geometric abstraction, illumination abstraction, abstraction in terms of levels of detail, or other relevant aspects of visualization. In particular, this PhD work should focus on visual abstractions that are meaningful in context of studying DNA macromolecular structural composition and its organization into higher-level structures up to chromosomes.

More information:

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http://www.aviz.fr/wiki/uploads/Research/2017_AVIZ_PhD_Project_-_Abstraction.pdf

Required applicants skills:

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* highly motivated student

* Master's degree (M.Sc., M. Eng, or equivalent) in computer science or closely related fields

* education background in one or more of the following fields:

visualization, computer graphics, and human-computer interaction

* interest in applications in structural biology

* previous experience in these fields (in particular, visualization) would be highly beneficial (evident, for example, in form of publications)

* experience in modern computer graphics (GPU) programming

* fluent in written and spoken English (French language skills are not required but would be beneficial for living in France and interacting with people outside of the lab)

Application package (to be prepared in English):

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* detailed CV (including education, degrees and dates, publications/scientific presentations, skills/experiences in programming languages, project work, academic awards, ...)

* motivation letter explaining why you apply specifically for this project and why you are the perfect candidate

* summary of the Master’s thesis

* transcript of the grades from the Master’s degree

* contact details for two or more academic references

* prepare all application documents electronically and in English (transcripts do not need to be translated, these are sufficient in the native language)

* send a link (e.g., though DropBox, Box, OneDrive, or similar services) to the application file (one big PDF file named familyname_givenname.pdf) by e-mail to Tobias Isenberg <tobias.isenberg@inria.fr>

Deadlines:

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* application deadline: applications are reviewed as they are received; however, for full consideration please submit your application by February 28, 2017

* starting date: September 1, 2017

About us:

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Inria is the French national institute for computer science and applied mathematics. It is recognized for its world-class contributions to computer science and is and is distributed across eight research centers located throughout France. The Aviz team is part of the research center in Saclay which is located in the greater Paris area, with many connections to universities, other research centers, and companies. Many of the Inria Saclay researchers live in Paris and commute to the lab each day. The Paris region, of course, is a vibrant urban center within Europe that offers many exciting opportunities for cultural activities, sports, and other events.

Two PhD Positions available: AR/VR CSIRO, Data61, Australia

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 18, 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
---------------------
Interested candidates are requested to send their application to armin.haller@anu.edu.au and Matt.Adcock@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

Research Engineer and Postdoctoral Fellow at CSIRO (Australia)

Opportunity #1:
Research Software Engineer / Experimental Scientist in Interactive Computer Graphics (AR/VR)
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* Join CSIRO's Data61 team - the largest innovation group in Australia!
* Software engineering and programming for rapid prototyping of Interactive Computer Graphics Applications
* Work in world class Advanced Augmented Reality (AR) and Virtual Reality (VR) facilities

Data61 is the largest data innovation group in Australia. Bringing together CSIRO's Productivity team and National ICT Australia (NICTA), we are unrivalled in our intellectual capital and our network with the global technology marketplace. The combined group will bring together approximately 600 research staff working in digital technologies to create benefit for Australia. Data61 will continue to develop Australia's future leaders with its strong 300+ PhD student program in collaboration with our best universities across Australia.

Data61 is looking for a Research Software Engineer / Experimental Scientist with a passion for developing novel Interactive Computer Graphics Applications. The successful applicant will contribute to projects in a diverse range of application areas, making use of the Advanced Augmented Reality (AR) and Virtual Reality (VR) facilities in the Data61 Immersive Environments Lab in Canberra, and collaborating widely within and outside of CSIRO. Recent team projects have included systems that combine AR, VR, and/or Web3D technologies for the remote guidance of maintenance workers, interactive annotation of 3D scans, and novel urban visualisation for stakeholder engagement. Going forward, we aim to expand our platforms for web based delivery of, and interaction with, 3D data.

Responsibilities:
* Software engineering and programming for rapid prototyping of Interactive Computer Graphics applications including VR, AR and Web3D.
* Craft technology demonstrations on top of software platforms that enable people to experience and use new application concepts.
* Work as part of a multi-disciplinary, often regionally dispersed research team, to carry out tasks under limited direction, in order to reach objectives.
* Foster open communication, provide coaching and on-the-job training to both support and research colleagues, as required.
* Adapt and/or develop original experimental methods/equipment/software/concepts/ ideas in support of existing and further research.

Location: Canberra Salary: $78k - $88k plus up to 15.4% super. Candidates will be considered at the salary bracket above this ($92k - $100k) if their skills and experience determine this, and the role will be altered to match this.
Reference: 27221
Term: Indefinite/Permanent

To be successful, you will have:
* First Class Honours, Masters, PhD Degree &/or equivalent experience in Computer Science, Engineering or a directly related field.
* Demonstrated experience with real time 3D graphics and/or computer vision.
* Familiarity with Virtual Reality, Augmented Reality and/or Web3D.
* Experience building interactive software with one or more programming languages such as: Javascript, C++, C#, Python, Matlab.
* The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, and carry out tasks autonomously.
* Familiarity with modern Computer Graphics Engines such as Unity or Unreal and/or familiarity with Graphics Libraries such as OpenGL, Vulkan, or DirectX.
* Demonstrated ability & willingness to contribute novel ideas and approaches in support of scientific investigations.

How to Apply: Please view the full position description and apply online via the following link: https://jobs.csiro.au/job/Canberra%2C-ACT-Research-Software-Engineer-Experimental-Scientist-in-Interactive-Computer-Graphics-%28ARVR%29/373497200/

Applications Close: 11:59pm AEST, 19th December 2016




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Opportunity #2:
Postdoctoral Fellow - Digiscape, Augmented Reality for Decision Support
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As a Postdoctoral Fellow you will carry out innovative, impactful research that will lead to novel and important scientific outcomes, including carrying software engineering and programming for rapid prototyping of Augmented Reality (AR) systems.

Specifically you will:

* Survey literature, attend workshops and collaborate with staff in Aquaculture and the broader Agriculture domains to understand and map opportunities for AR technologies.
* Craft technology demonstrations that enable people to experience new application concepts using real/live data.
* Contribute to commercialisation efforts.
* Maintain an awareness of industry roadmaps.
* Produce high quality scientific and/or engineering papers suitable for publication in quality journals.
* Prepare and present appropriate conference papers.
* Contribute to the development of innovative concepts and ideas for further research.
* Work collaboratively with colleagues and staff across CSIRO.

Location: Canberra, ACT, Australia
Salary: $78k to $88k plus up to 15.4% super
Professional Development Budget: Yes
Term: 3 years
Reference: 29563

To be considered you will need:

* A PhD in Computer Science, Engineering or a directly related field.
* High levels of oral and written communication and ability to represent the team at national and international conferences
* Experience conducting research in interactive 3D graphics and/or computer vision in Virtual Reality, Augmented Reality and/or Web3D.
* Experience building interactive software in one of the following programming languages -Javascript, C++, C#, Python, Matlab.
* Familiarity with computer graphics engines such as Unity or Unreal and/or familiarity with Graphics Libraries such as OpenGL, Vulkan, or DirectX.
* The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team and carry out tasks autonomously.
* A record of science innovation and creativity and a willingness to contribute novel ideas and approaches to support scientific investigations.
* To be able to travel to conferences, fieldwork, meetings and other events.


About the CSIRO Future Science Platforms and Digiscape

Future Science Platforms (FSPs) are a major new CSIRO initiative and are multi-year investments in frontier science that will help reinvent and create new industries for Australia. In the future Australia's agriculture.

Digiscape is the FSP that is creating next-generation decision tools to transform the agriculture and land management sector. To achieve this aim, Digiscape will bring to bear cutting edge climate science; new sources of locally and remotely sensed data; informatics for agro-ecosystems; rigorous analysis of uncertainties; and innovation in both the ICT and social dimensions of systems integration.

About Australia and Canberra

Australia is a stable, democratic and culturally diverse nation with a highly skilled workforce and one of the strongest performing economies in the world. With a spectacular natural environment, high quality of life and great diversity Australia is a sought after destination. Find out more About Australia.

Canberra is Australia's capital city, designed for easy living, with wide tree-lined streets. It is close to snow fields and pastoral lands. The climate supports an outdoor lifestyle that engenders a strong interest in sports of all types.

Before applying please click on the Position Details link and read the selection criteria: Position Details. In your application please provide sufficient, brief, relevant and specific information to enable the selection panel to assess your suitability against the selection criteria.


How to Apply:
Please view the full position description and apply online via the following link:
https://jobs.csiro.au/job/Canberra%2C-ACT-Postdoctoral-Fellow/378254200/

Please note: This is an early career position open to those with no more than 3 years research experience since completing their PhD.

Application Deadline: Open until filled, however we encourage you to submit your application by January 9 2017 as we will interview suitable candidates from that date onwards.

Xavier Ho
Data-driven Design Engineer | Scientific Computing
Information Management and Technology
CSIRO

Open PhD position on Creating Light Fields at University of Bath

Creating light field content from existing images and videos

The goal of this project is to create appealing visual content for upcoming light field displays from existing imagery, particularly from image and video collections such as historical photos or consumer videos.

Light field displays for the first time offer the viewer more than two views of an object from different perspectives, and they can thus reproduce the appearance of real-world objects which previously unachieved fidelity. This has been demonstrated by first research prototype displays, and commercial light field displays will become available within the next few years. However, cameras for capturing light field images or videos are not yet readily available, which is why this project aims to create light field content from existing imagery, which is readily available. To achieve this goal, the project will research and develop image- and video-based rendering approaches for synthesising visually plausible novel views, as well as new data-driven inpainting techniques for filling occlusion holes in a visually consistent manner.

Requirements
Candidates should normally have a good first degree (equivalent to a First Class or 2:1 Honours), or a Master’s degree in computer science, visual computing or a related discipline. A strong mathematical background and strong previous programming experience, preferably in C++ and/or Python, is required. Candidates must have a strong interest in visual computing, and previous experience in computer vision, computer graphics and image processing is highly desirable.

Funding notes
UK and EU students applying for this project may be considered for a University Research Studentship which will cover Home/EU tuition fees, a training support fee of £1000 per annum and a tax-free maintenance allowance of £14,296 (2016/17 rate) for 3.5 years.

Note: ONLY UK and EU applicants are eligible for the studentship; unfortunately, applicants who are classed as Overseas for fee paying purposes are NOT eligible for funding.

We welcome all-year round applications from self-funded candidates and candidates who can source their own funding.

Additional information
Anticipated start date: 2 October 2017.

Informal enquires are welcomed and should be directed to Dr Christian Richardt (c.richardt@bath.ac.uk). Formal applications should be submitted via the University of Bath’s website: http://www.bath.ac.uk/science/graduate-school/research-programmes/how-to-apply/.

For more general information on studying for a PhD in computer science at Bath, see:http://www.bath.ac.uk/science/graduate-school/research-programmes/phd-computer-science/.

Application
The application deadline for this position is Tuesday, 31 January 2017.

Applications can be submitted via FindAPhD:https://www.findaphd.com/search/ProjectDetails.aspx?PJID=80681.

Applications may close earlier than the advertised deadline if a suitable candidate is found; therefore, early application is recommended.

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

-----------------

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

---------------------

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