To support our motivated team in the Digital Twin Lab research group, we are looking to fill the following position based in Klagenfurt am Wörthersee.
Geospatial Data Researcher
The Digital Twin Lab researches and applies automated methods for the creation and use of highly accurate spatial digital twins of real environments. These digital images enable realistic simulations, for example to investigate the effects of climate change, to evaluate infrastructure or to analyze traffic-related issues, whereby a practically unlimited number of scenarios can be tested safely and without complex real test setups. In addition, the data collected – in combination with links to real-world sensors and, where appropriate, real-time data – serves as a ground truth basis for the development and validation of simulation models and automated mobility solutions, from high-precision map material and the validation of vehicle systems to the evaluation of infrastructure measures and the further development of safe, efficient mobility concepts.
This is based on state-of-the‑art mobile mapping equipment (vehicle-, drone- and person‑guided), high-performance computing infrastructures and largely automated data processing. Based on AI-supported evaluation methods, potential analyses are developed, e.g. for the greening of urban areas, as well as impact analyses using immersive environments – e.g. to investigate the acceptance of automated mobility solutions. These environments can be used with XR technologies, such as VR glasses or driving simulators, to make the planning and analysis processes of measures a vivid experience.
Responsibilities
* Development and application of methods for the automated analysis of geodata, in particular 3D point clouds and image data from mobile mapping
* Use of modern computer vision and machine learning methods for object recognition and classification (e.g. terrain, vegetation, road surface properties, etc.)
* Participation in research and development projects in the field of mobility, infrastructure and environment
* Coordination and management of tasks within interdisciplinary project teams
* Preparation, documentation and presentation of results for project partners, specialist audiences and funding bodies
Qualifications
* Degree in geoinformatics, computer science, telematics, robotics, game engineering, surveying or a comparable field of study
* Experience in handling and developing methods of data analysis, computer vision or machine learning (e.g. convolutional neural networks, PointNet or segmentation algorithms)
* Programming skills (e.g. Python) for the development of analysis workflows
* Interest in the processing of 3D geodata (mobile mapping, laser scanning, photogrammetry…)
* Strong communication and presentation skills in German (Level C1) and English
* Advantageous:
o Knowledge of common geodata tools (e.g. PDAL, GDAL, QGIS)
o Experience with relevant data formats
o Standards or know‑how of road construction parameters
Salary & Employment
Starting immediately, full time, unlimited
Salary: €4,056 gross per month, payable 14 times per year (pro rata). Willingness to overpay with appropriate qualifications and experience.
Benefits
* A fair and market‑aligned salary of €4,056 gross per month, payable 14 times per year (pro rata), based on the collective bargaining agreement for employees in non‑university research – adjusted to regional labour market conditions – a competitive salary above the collective agreement is a given for us, depending on professional experience and qualifications
* A team‑oriented working environment and state‑of‑the‑art infrastructure
* Flexible working hours (flexitime without core hours) with the option of teleworking
* Targeted support for your personal career through the internal training program and further development of your expertise
* The opportunity to combine your professional research activities with a dissertation
* Additional full days off on Good Friday, 24.12. and 31.12.
* Sports and cultural promotion, mobility allowance, company events and social benefits
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