Research Associate (m/f/x) Faculty of Civil Engineering, Institute of Structural Analysis
Technische Universität Dresden
The mobility of peopie and goods is a central foundation of our modern society with increasingly global and diversely networked processes. It enables an efficient economy and represents a valuable asset that must be preserved and further developed. Mobility, especially with regard to road mobility and to road traffic, is currently confronted with global challenges, which urgently require fundamental Solutions, inthe pianned SFB/TRR 339, a spatially as well as temporal ly multidimensional, model of vehicle, tire and road surface (concrete and asphalt) will be developed and researched, taking into account the road pavements. The model combines all available and relevant information about the "road of the future" system from physical inves-tigations and modeling as well as from informational and traffic-reiated data (sensor data, data models etc.). The approach enables and requiresthe interaction between the physical-engineering and the informational-traffic design levels. This interactive model in space and time is referred to as the digital twin of the road, subject to analysis, control and prediction of the physical road by means of common interfaces. Additional Information:
The following project positions offeredare starting, subject to resources being available, on
January 1,2022. They are initial ly to be fiiied by December 31,2025, with the option of extension. The period of employment is governed by § 2 (2) Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). Subject to personal qualification employees are remunerated according to salary group E13 TV-L.
Faculty of Civil Engineering, Institute of Structural Analysis, Subproject B04
Research Associate (m/f/x)
For processing of current literature on the topic of numerical long-term forecasting methods and further development of time homogenization methods for multi-physical multi-field problems of the tire-road system we seek candidates with a very good university degree in civil engineering, mechanical engineering, computational engineering or another comparable engineering science or natural science. For further info see: