Open Positions in 3D Spatialization: PhD and PostDoc

Overview

The Rendering and Modeling Group at TU Wien offers positions in the field of computer graphics/geometry. The main focus is 3D Spatialization, a research area in the Research Cluster Smart Communities and Technologies (Smart CT). Currently, we offer positions for:

The application deadline is: January 26, 2018.

Both positions are expected to be filled starting March 1, 2018, for a duration of 3 years.

Topic

The Research Cluster "Smart Communities and Technologies" at TU Wien will provide the scientific underpinnings for next-generation complex smart-city and communities infrastructures. These involve smart buildings, smart products and production, smart traffic systems and roads, autonomous driving, smart grids for managing energy hubs and electric car utilization, and urban environmental systems research. In addition to 3D Spatialization - the topic of this call - Smart CT also covers the areas Cyber-Physical-Human Ecosystem and Model Building and Visual Analytics.

3D Spatialization creates the link between the smart-city infrastructure and the actual 3D world in which a city is embedded. The goal is to perform advanced computation and visualization tasks. Sensors, actuators and users are embedded in a complex 3D environment that is constantly changing. Acquiring, modeling and visualizing this dynamic 3D environment are the challenges we need to face using methods from visual computing and computer graphics.

3D Spatialization aims to make a city aware of its 3D environment, allowing it to perform spatial reasoning to solve problems like visibility, accessibility, lighting, and energy efficiency.

Tasks

In the context of 3D Spatialization, we expect the PhD and PostDoc researcher to tackle some of the following research problems:

The PhD researcher will collaborate with the PostDoc and other PhD researcher from the Research Cluster to work on these scientific problems and publish results in international conferences.

The PostDoc researcher will, in addition, provide a link to the other areas in the Research Cluster, as well as to stake holders (like the city of Vienna).

Requirements

Required qualifications: Desired qualifications and skills:

Opportunities

What we offer in exchange:

The applicant will be funded according to the Austrian Collective Agreement for university staff, allowing you to support a comfortable life in Vienna.

PostDoc: Entry level salary as a postdoctoral researcher is currently 3.590,70 EUR/month gross (40h/week contract), 14 times/year.

PhD: Entry level salary as PhD researcher is currently 1.685,30 EUR/month gross (25h/week contract), 14 times/year.

How to Apply

For informal questions before the application, please contact Michael Wimmer.

The official application should include:

The application should be sent to the personal department of the TU Wien, Karlsplatz 13, 1040 Wien, preferably in digital form (pdf) via E-Mail to thomas.prager@tuwien.ac.at. Please also see the official announcement (#307.1.5).

The deadline for application is Friday, 26.1.2018.

TU Wien is committed to increasing female employment in leading scientific positions. Female applicants are explicitly encouraged to apply. Preference will be given when equally qualified. Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this call.

Further Positions in SmartCT

In the Research Cluster Smart Communities and Technologies, there are currently two other positions (PhD and PostDoc) available as well, in the area of

Model Building and Visual Analytics:

Visual Analytics (VA) is "the science of analytical reasoning facilitated by interactive visual interfaces" and aims at making complex information structures more comprehensible, facilitating new insights, and enabling knowledge discovery. VA methods focus on the information discovery process, exploiting both the computational power of computers and the human's visual information processing capabilities. It aims to enable the exploration and the understanding of large and complex data sets (such as available in smart city's environments) by intertwining interactive visualization, data analysis, human-computer interaction, and cognitive and perceptual science.

For more information about these positions, please see the separate information page and the official announcement (#307.1.5).