Meeting the network: STIIMA-CNR

Here we are with our standing appointment: “Meeting the network“. Today EuroVR is glad to introduce its member STIIMA-CNR.

STIIMA-CNR stands for “Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing of the National Council of Research in Italy”. The Institute’s strategic mission is the growth of competitiveness and sustainability of manufacturing in Italy and Europe through industrial innovation.

EuroVR President, Marco Sacco, is Senior Research Scientist and Head of STIIMA-CNR subsidiary in Lecco & EVA (Enterprise Engineering and Virtual Application) division. He is active in the VR field for over 20 years mainly in Manufacturing and Health Care Sectors, leading research projects which aim to support industrial research and the transfer of research results to companies.

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EuroVR 2019 Conference: 1st Call for Contributions

The 16th EuroVR International Conference  (23-25 October 2019 in Tallinn, Estonia), opens the 1st call for contributions. From this year on, all contributions are organized in two main tracks, each one divided into several categories as follows.

1) Scientific track submissions can be:

  • Long (14-20 pages) or short (8-10 pages) scientific papers: original, unpublished papers documenting new research contributions, practice and experience, or novel applications in VR or AV/AR/MR.
  • Scientific poster papers (4-6 pages): work in progress or other scientific contributions that do not fit one of the categories of this call, such as ideas for unimplemented and/or unusual systems.

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Phd position – Helmholtz School for Marine Data Science

Find out more about this new Ph.D. position for data scientists in marine science and submit your application before May 15th, 2019.

The Helmholtz School for Marine Data Science (MarDATA) is recruiting candidates for doctoral
studies (Ph.D.) at Germany’s leading institutes for marine research, GEOMAR, and AWI, together
with their partner universities in Kiel and Bremen.

We are looking for excellent graduates holding master degrees in computer science (“Informatik” in German), software architecture, data engineering, data analytics, advanced statistics, machine learning, numerical and applied mathematics, bioinformatics or electrical engineering/technical cybernetics.

The position

MarDATA, a graduate school financed by the Helmholtz Association, will define and educate a
new type of “marine data scientists” by introducing and embedding researchers from data science
into ocean sciences – from supercomputing and modeling, (bio)informatics, robotics, to statistics
and big data methodologies. Researchers from the German leading institutes for marine research,
the GEOMAR Helmholtz Centre for Ocean Research Kiel and the Alfred-Wegener-Institute (AWI)
Helmholtz Centre for Polar and Marine Research will jointly educate and supervise doctoral
candidates together with information & data science specialists from their partner universities in
Kiel (Kiel University) and Bremen (Universität Bremen and Jacobs University).
The broad education in joint block courses, international summer schools and colloquia will go
beyond a single discipline towards genuine scientific insight into and a more systematic treatment
of marine data.

More information can be found at (Application deadline 15 May 2019)

EuroVR 2019 Conference: the official website is online

EuroVR and TalTech – Tallinn University of Technology are glad to announce the official website of EuroVR 2019 conference:

In 2019, EuroVR annual event will take place from the 23rd to 25th October in TalTech Mektory Business and Innovation Centre (Tallinn, Estonia), a hub which connects research, leading businesses & innovative thinkers.

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University of Bremen: two positions open in VR

Are you looking for a job in the virtual reality field? This article is for you! Read more about the two Ph.D. positions open at the University of Bremen and submit your application.

Novel 3D Interaction Techniques for Collaborative, Immersive Scientific Visualization

A researcher with the Computer Graphics and Virtual Reality Group at the University of Bremen, Germany.

Project description

Building on the state of the art in virtual reality research, including latest developments of production-quality game engines, this Ph.D. project shall develop concepts, scientific visualization methods, 3D interaction metaphors, and immersive virtual reality tools for geographically remote researchers to share and explore a meaningful virtual environment for collaborative virtual fieldwork on the seafloor. The project will evolve around the visualization of cutting-edge, large scale photogrammetric scans of hydrothermal (black smoker) vent fields and related volcanic structures of the mid-oceanic ridges.


This PhD project will draw upon visualization resources both at the CGVR lab at University of Bremen (in particular, the two-user powerwall, i.e., large-screen stereoscopic projection wall with tracking and correct projection for two users simultaneously), and at GEOMAR (the ARENA2 visualization dome theatre) as well as head-mounted display “satellite systems” (e.g., wireless VIVE at CGVR), to form a connected ecosystem.

Computer Graphics and Virtual Reality Group Bremen

Researcher with the Computer Graphics and Virtual Reality Group at the University of Bremen, Germany.

Project Description

For several years now, innovative algorithms and methods for forward-looking space projects have been developed and researched within the framework of exploration projects funded by DLR Space Management. The knowledge gained and the algorithms developed are to be brought back to Earth as part of the project presented and made available as a key technology for mobility 4.0 in Germany. Within the framework of earlier space projects, algorithms for the planning and simulation of an autonomous spacecraft for the reduction of resources on asteroids were developed. The core contents of autonomous planning, navigation, and flight path optimization and control serve as a basis for the application of autonomous vehicles described here. The current project is based on results from an earlier project on autonomous driving and extends the research questions to real application scenarios by involving industrial partners.


The aim of the project is to automate recurring journeys in known areas and in particular to present solutions for cooperative maneuvers in such areas. For this purpose, the cooperation partners are working on the implementation in an application-oriented test field. Overarching goals of the project, which are to be implemented especially on real vehicles, are:

  • To create uniform software frameworks for the different requirements of highly-automated driving;
  • Transfer of know-how and algorithms from space travel for highly automated driving as well as the definition of requirements for modern satellite navigation;
  • Development of efficient 3D algorithms for geomatric computing in order to facilitate remote driving.


Candidates should have an excellent Master’s degree or equivalent in computer science, or related disciplines such as mathematics, computational engineering, physics, etc. Required skills are solid experience in C++ software development, and a very good command of English (reading/writing/speaking). Ideally, you have specialized in real-time computer graphics or physically-based simulation, you are capable of effectively applying mathematical methods, and you have good knowledge of GPGPU programming. In addition, the successful candidate will be highly self-motivated, passionate about their work, and have a good ability to work both independently as well as in a team in a multidisciplinary environment.

How to apply

Applications should comprise a cover letter, complete CV including any achievements, degree certificates (including a list of courses and grades), names and contact details of at least two referees, and other credentials if any (e.g., recommendation letters, publications, etc.). Application by email is preferred. We encourage candidates to apply immediately but will continue to review applications until the position is filled. If you have any questions about the position, please do not hesitate to address them to the above email address.

Prof. Dr. Gabriel Zachmann
University of Bremen
Bibliothekstr. 5
28359 Bremen / Germany
zach at

Visit the official website for further information.