Auf einen Blick
- Aufgaben: Forschung und Entwicklung in Flugdynamik und Simulation, Nutzung von Machine Learning zur Datenanalyse.
- Arbeitgeber: DLR in Partnerschaft mit Airbus Defence and Space, Standort Braunschweig.
- Mitarbeitervorteile: Zusammenarbeit mit führenden Industrieexperten, Zugang zu High-Performance Computing Ressourcen.
- Warum dieser Job: Innovative Projekte an der Schnittstelle von Wissenschaft und Industrie, ideal für Promotion.
- Gewünschte Qualifikationen: Abschluss in Informatik, Maschinenbau oder ähnlich, Erfahrung mit Python und Linux, Kenntnisse in Machine Learning.
- Andere Informationen: Bereitschaft zur Arbeit an militärischen Themen und Sicherheitsüberprüfung erforderlich.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
As part of the post-university training of young scientists, DLR offers a special sponsorship programme together with industry. Here, young scientists are given the opportunity to familiarise themselves with the latest scientific findings and technical procedures of DLR research in combination with the application-oriented approach of industry. The position offered is based on a close cooperation between the Flight Dynamics and Simulation department at the DLR Institute of Flight Systems and the Flight Dynamics team at Airbus Defence and Space, with the main place of work being the DLR site in Braunschweig.
Their mission:
An important, long-standing field of research at the DLR Institute of Flight Systems is the modelling, simulation and flight dynamics analysis of aircraft. An essential part of this research is the analysis of large amounts of data, which can originate from simulation calculations as well as from flight tests or operational flight operations. Due to the rapidly growing amount of data, increasingly powerful computer architectures and corresponding algorithms, methods and tools are required to automatically identify patterns and classify relevant data components. As part of our motivated team, your main tasks will be
- utilising machine learning techniques such as clustering, classification and anomaly detection to extract valuable insights from large data sets
- evaluating different algorithms e.g. LEADER (incremental), DBSCAN (spatial density based), SBD (shape based distance) and alternative algorithms for dynamic time warping
- use of high-performance computing resources through parallelisation with OpenMPI and the use of GPU clusters
- use of Python as a development language
You will be willing to work on military topics and undergo a security check. The topic is very suitable for a PhD.
completed scientific university degree in the field of computer science, mechanical engineering, aerospace engineering, electrical engineering or comparable disciplines with courses/experience in machine learning, algorithmics knowledge in the field of flight dynamics experience in programming with Python experience in working with Linux
Payment
Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 13 TVöD.
Computer scientist, aerospace engineer or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
DLR bietet in Kooperation mit Airbus Defence and Space eine einzigartige Arbeitsumgebung in Braunschweig. Hier profitieren Mitarbeiter von der Verbindung hochaktueller Forschung und praxisorientierter Industrieanwendung, ideal für angehende Doktoranden und junge Wissenschaftler.
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Computer scientist, aerospace engineer or similar (f/m/x)
Maschinelles Lernen
Python
Datenmodellierung
Statistische Analyse
