Computer scientist, aerospace engineer or similar (f/m/x)

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Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

For our Institute of Flight Systems in Braunschweig we are looking for a

Computer scientist, aerospace engineer or similar (f/m/x)

Data clustering and its application in flight dynamics analysis

What to expect:

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.

What we expect from you:

• 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

What we offer:

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

Further information:

Starting date: immediately

Duration of contract: 3 years 

Type of employment: full time (part time possible)

Remuneration: TVöD 13

Vacancy-ID: 97259

Contact: 

Dipl.-Ing. Per Ohme Institut für Flugsystemtechnik 

Tel.: 0531 295 2708

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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Deadline: 2024-10-31
Location: Germany, Braunschweig, Niedersachsen
Categories: Aerospace Engineering, Algorithms, Computer Engineering, Computer Sciences, Electrical Engineering, Machine Learning, Mechanical Engineering,

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