Research Associate
vor 7 Monaten
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. TUD has established the Research Training Group
"AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban
Areas" (RTG 2947), funded by the German Research Foundation (DFG). This interdisciplinary group,
involving five faculties and the German Aerospace Centre (DLR), will conduct research on 11 research
the technical and social challenges of Advanced Air Mobility, considering ecological, economic,
technological, and sociological factors. The RTG's structured doctoral program aims to train young
researchers in highly automated, networked mobility, featuring international collaboration with
mentors from the USA, Asia, and Europe. TUD and the RTG embodies a university culture that is
characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation.
For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly,
we welcome all applicants who would like to commit themselves, their achievements and productivity
to the success of the whole institution.
The **Research Training Group RTG 2947 "AirMetro"**, funded by the DFG, offers a position as
**Research Associate / PhD Student **(M/F/x)
starting **as soon as possible. **The position is limited to 48 months, max. until April 30, 2029. The period
of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic
qualification (usually PhD).
Job ID: RTG2947-T6***
Title: Development of Robust Motion trajectories under Consideration of Model and Data
Uncertainty
Investigators: Prof. Michael Kaliske, Chair of the Institute for Structural Analysis and co-supervised
by at least one additional professor plus an international tutor of the RTG***
Requirements: very good university degree as Master of Science (M.Sc.) or Diplom-Ingenieur (Dipl.
Ing.) in civil engineering or mechanical engineering (or comparable) with deep
knowledge in uncertainty quantification, structural analysis, advanced mathematics,
modelling and simulation.
**Description of the PhD topic**:Small, highly automated aircrafts over populated areas rely on robust
motion trajectories, considering uncertain input data. Sensor precision, fusion of multiple data
sources and absence data due to difficult environmental conditions or technical defects require the
modelling of vehicle states beyond deterministic models. The objective of this PhD thesis is to develop
motion trajectories. The project aims to overcome drawbacks of probabilistic models by means of
**Tasks**:Independent and cooperative qualification through scientific research within one of the PhD
study projects on offer; training in the technical tasks of the individual dissertation topics through
study of the literature and in making the objectives more precise; working on the individual PhD study
project with experimental, numerical, metrological or empirical focus in collaboration with other RTG
members (fellow students and supervising professors); implementation of the planned research
program, evaluation and interpretation of the results and transferring them to a RTG internal ex
- change platform, elaboration and presentation of the state-of-the-art in the respective research fields;
participation in lectures, workshops and summer schools according to the guidelines of the RTG cur
- search field; regular reporting on research progress to the supervising professors; publishing the re
- sults of the research work individually and in concert with others; cooperative maintenance of ex
- change platforms (database, information pages, etc.); summarizing the results of the individual PhD
study project in a dissertation within the due time of 4 years.***
Analysis and together with other chairs being part of the RTG.
**General Requirements**:We are looking for first-class graduates with expertise in the RTG-addressed
and written English communication skills as well as the absolute determination to submit the
dissertation after 4 years of research.***
**What we offer**:
- **Pioneering Research Environment**: Shape the future of advanced air mobility through
involvement in innovative drone-related projects that bridge technology, urban planning,
material sciences, sensors and aviation. With the upcoming Smart Mobility Lab in Lusatia,
Saxony, you will have access to state-of-the-art and extensive facilities for experiments. This
includes a hall measuring 100x100x30 meters and outdoor space (available from 2026).
- **Cross-Disciplinary Collaboration**: Immerse yourself in a highly collaborative and
interdisciplinary research environment, where you'll work alongside experts from fields such
as engineering, data science, urban studies, and aerospace.
- **Skill Development**: Our extensive qualificat
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