Scientific activities / projects

Prognostics and Health Management under Uncertainty

Starting date

1 October 2023

Duration of contract

3 years


up to German TVöD 13

Type of employment

Full-time (part-time possible)

Prognostics and Health Management (PHM) serves as an umbrella term for a variety of techniques that monitor the health of systems and components, providing insightful projections about their future operations and potential malfunctions. In the aviation industry, these can pose significant risks to both the aircraft and its passengers, and unscheduled maintenance can create substantial and costly disruptions, thereby accentuating the necessity for an effective PHM. A robust PHM system is advantageous as it permits maintenance teams to address potential problems preemptively, preventing them from becoming critical. Furthermore, it can discern instances where scheduled maintenance is redundant, facilitating the optimization of maintenance schedules. This not only aids in cost reduction but also improves the operational efficiency of components, systems, and entire aircraft throughout their life cycles.

However, while incorporating PHM models in safety-critical systems that necessitate high reliability, comprehensive scrutiny of uncertainties becomes imperative. These uncertainties, which can originate from various sources such as measurement inaccuracies, modeling presumptions, and environmental factors, must be carefully addressed with appropriate mathematical models and engineering methods.

Your tasks will be:

  • independently develop a comprehensive, system-agnostic framework for Uncertainty Quantification (UQ) in PHM, using aircraft engines for testing and validation
  • seamlessly integrate this UQ framework into the existing institute's lifecycle simulation models, considering degradation and deterioration interactions in multi-component systems
  • discover and employ optimal mathematical models and algorithms to manage uncertainties and predict system behaviors
  • utilize the UQ framework and developed algorithms to optimize maintenance scheduling models, promoting predictive maintenance practices
  • collaborate with a team to ensure project success and to facilitate the widespread adoption of PHM in the aviation industry and beyond
  • regularly report on project progress and results to both internal and external stakeholders, demonstrating the practicality and efficiency of the UQ framework in aviation

Your qualifications:

  • university degree (Master / Diplom Uni) in engineering (e.g. aerospace engineering, mechanical engineering, informatics), mathematics or other programmes relevant to the job
  • sound knowledge of stochastics, optimization algorithms and data analysis
  • experience in the fields of aircraft systems, aircraft operations as well as aircraft maintenance
  • good programming skills, ideally in Python
  • very good proficiency in German and English, both spoken and written
  • A prerequisite for employment at DLR is security clearance in accordance with the Security Clearance Act (Sicherheitsüberprüfungsgesetz, SÜG) and willingness to undergo a security clearance in accordance with §8 ff SÜG.
  • high willingness and motivation for interdisciplinary work as well as personal aptitude for working in an international team is of advantage
  • motivation to explore new subject areas is desirable

Your benefits:

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.

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Technical contact

Kai Wicke
Institute of Maintenance, Repair and Overhaul

Phone: +49 40 2489641-140

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Vacancy 85476

HR department Cologne

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DLR Hamburg

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DLR Institute of Maintenance, Repair and Overhaul

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