Aerospace engineer, mechanical engineer, electrical engineer, computer scientist (f/m/x)

You want to combine state of the art machine learning and data science methods with real world sensor data to help reducing aviation’s climate impact? At the Multiphase Flows and Alternative Fuels Department of the DLR Institute of Combustion Technology we got the right mission for you!

At the DLR Institute of Combustion Technology, we span the bridge from fundamental to applied sciences on research topics related to combustion and fuel. About 100 employees from various scientific fields utilize modern experimental and computing facilities, and diagnostics and numerical methods, to design and optimize clean combustion systems and to asses and optimize sustainable fuels. In the department of Multiphase Flow and Alternative Fuels (MAT) in Stuttgart, you will conduct and initiate projects in the field of alternative fuels for aviation, road transport, and the energy sector. Your research work will contribute to reducing, now, our impact on the environment and the climate.

In a team of about 10 scientists from Germany and abroad your research work ranges from the development of numerical methods and models, to the identification of promising fuel candidates using in-house computer codes and data science, to the coordination of flight tests aiming at characterizing the emissions of sustainable aviation fuels. One particular focus of the department is the holistic evaluation and optimization of fuels: fuel design. The aim is to explore possibilities for a climate-neutral use of fuels by means of digital methods. For this purpose, information and data must be collected and made available over the entire product life cycle. Since risk-related decisions are made on the basis of this information, uncertainties in data and models must be systematically recorded and evaluated. To facilitate this, a digital thread for representing process and information chains by means of digital twins for fuels shall be established within the scope of the position being advertised.

Within your mission, a hybrid sensor system for the fast online measurement of jet fuel properties (e.g. aromatic content, energy content) will be developed and its utilization at the airport and in fuel logistics will be demonstrated. This sensor system will combine sensor measurements and machine learning models and offers the potential to replace costly laboratory analytics. This could enable new potentials for reducing the climate impact of a flight mission, for example by adapting the flight routing to the available fuel or by optimized refueling strategies.

  • completed academic university degree (M. Sc. / university diploma) in aerospace engineering, mechanical engineering, electrical engineering, computer science or comparable subject
  • fundamental knowledge in the fields of data science and machine learning
  • advanced programming skills in Python
  • good command of written and spoken English (scientific publication level)
  • ability to work in a team as well as good communication skills
  • ideally experience with sensors and measurement technology is a plus
  • ideally experience with probabilistic machine learning using pyTorch/tensorflow/sklearn is a plus
  • ideally first experience in collaborative code development (Git/GitLab)
  • together with the MAT-Team you will develop a hybrid sensor system for the fast online characterization of jet fuel
  • for this purpose, you train and analyze machine learning models for relevant jet fuel properties using a worldwide unique jet fuel database
  • in collaboration with colleagues at the Institute, you identify suitable sensor hardware and commission it
  • you demonstrate the hybrid sensor system for a selected real-world use case
  • you analyze application scenarios for the hybrid sensor system at the airport and in fuel logistics within the framework of DLR-internal as well as publicly funded research projects
  • you publish results in scientific publications as well as web-dashboards
  • there is the opportunity to do a PhD

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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No deadline
Location: Germany, Stuttgart
Categories: Aerospace Engineering, Computer Engineering, Computer Sciences, Data Science, Electrical Engineering, Mechanical Engineering, Programming,


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