Research Associate (m/f/x)

Dresden, Sachsen (DE)
Nov 10, 2021
Dec 16, 2021
Fixed Term
Full Time

The mobility of people 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.

In the planned SFB/TRR 339, a spatially as well as temporally 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 investigations and modeling as well as from informational and traffic-related data (sensor data, data models etc.). The approach enables and requires the 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: https://tu-dresden.de/bu/bauingenieurwesen/sdt/forschung/sfb-339digitaler-zwilling-strasse?set_language=en

At TU Dresden, Faculty of Computer Science, the Institute of Software and Multimedia Technology offers in Subproject B07, subject to resources being available, a position as

Research Associate (m/f/x)

(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting January 1, 2022 initially to be filled by December 31, 2025, with the option of extension). The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD / habilitation thesis).

Tasks: scientific tasks in research and development of a language for context-oriented equation-based modelling and its application by means of Modelica to a modelling approach of context-oriented hybrid Petri nets to be developed. Connection to existing systems by means of interfaces for integrating them. Ensuring consistency by constructing an initial static sum model for the simulation models developed in the project, as well as the development of a methodology for the integration of runtime contexts (in summary, design and implementation of a static and runtime sum model for the integration and consistency assurance of multi-physical and multi-scale models under integration of runtime data). Interdisciplinary collaboration with the other subprojects; publication of findings and insights of international conferences and journals.

Requirements: very good scientific degree in computer science, computational engineering or comparable engineering or natural science. Knowledge in the field of model-driven software architectures, data science and view-oriented software design, high amount of self-reliance, involvement and team spirit; very good scientific writing and speaking skills in English.

Applications from women are particularly welcome. The same applies to people with disabilities.

Please submit your comprehensive application including the usual documents and the specification of the sub-project number B07 by December 16, 2021 (stamped arrival date of the university central mail service applies) by mail to: TU Dresden, Fakultät Bauingenieurwesen, Institut für Statik und Dynamik der Tragwerke, Prof. Kaliske -persönlich-, Helmholtzstr. 10, 01069 Dresden, Germany. or via the SecureMail portal of the TU Dresden https://securemail.tu-dresden.de as a PDF document Bewerbung_SFB_339@tu-dresden.de. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis