Intern (m/f/d) - Threshold Identification in Engine Maintenance

Dlr; Hamburg; Hybrid; EUR 10.000 - 15.000; Vollzeit

Benefits dieser Stelle

Diversity commitment

Training opportunities

Equal opportunities for women

Zusammenfassung

DLR in Hamburg offers an internship focused on Threshold Identification in Engine Maintenance. You will help analyse engine degradation data and support the development of maintenance decision frameworks within an ongoing project.

The role combines data processing, collaboration with engineers and external partners, and documenting thresholds and key assumptions for future maintenance triggers.

Qualifikationen

• Advanced studies in aerospace engineering, mechanical engineering, industrial engineering, or a comparable field of study.
• Experience in turbomachinery, data processing, analytical models and programming.
• Strong problem-solving skills and systematic thinking.

Aufgaben

• Familiarization with the development of maintenance decision-making frameworks for identifying essential modelling requirements.
• Analyse outputs from engine degradation models to evaluate inputs for maintenance frameworks and identify key interfaces.
• Review information on engine health indicators and degradation metrics to link with maintenance trigger criteria and thresholds.
• Engage with manufacturers and domain experts to enhance understanding of current industrial practices and maintenance considerations.
• Develop a structured methodology to relate engine health metrics to maintenance events through performance thresholds.
• Document the approach, key assumptions, and resulting threshold definitions.

Kenntnisse

turbomachinery

data processing

analytical models

programming

teamwork

English skills

Ausbildung

Advanced studies in aerospace/mechanical/industrial engineering or comparable field

Jobbeschreibung

Intern (m/f/d) - Threshold Identification in Engine Maintenance Language Profile

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Intern (m/f/d) - Threshold Identification in Engine Maintenance Job Description Req ID: 6030 Place of work: Hamburg Starting date: 01.10.2026 Career level: Internship Type of employment: Full-time Duration of contract: 3 Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; 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 our12,000employees 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!

The DLR Institute of Maintenance, Repair and Overhaul is dedicated to shaping the future of aviation through research and technology transfer. With its vision of “We Maintain Mobility for a Sustainable Future,” the institute focuses on lifecycle analysis, maintenance technologies, and the optimization of digital processes to improve technical operations in aviation. In collaboration with the DLR Institute of Propulsion Technology’s Engine Department, methods of utilizing advanced engine performance analysis with predictive maintenance methodologies are being developed to further support the advancement of data driven maintenance frameworks.

What to expect

As part of an ongoing project, methods for analysing engine degradation are being developed to determine the current condition of individual engine components. This condition data provides valuable insights into degradation behaviour and the respective remaining useful life. By incorpo rating this information, well-informed decisions can be made to optimise maintenance planning. However, a systematic approach to translating the condition of an engine, based on various per formance parameters, into triggers for maintenance measures remains a key challenge at present. Building on the completed tasks, there is an opportunity to further pursue and delve deeper into the topics within the scope of a subsequent final thesis.

Your task

• familiarization with the development of maintenance decision-making frameworks for identifying essential modelling requirements
• analyse the outputs from engine degradation models to evaluate their suitability as inputs for maintenance frameworks and identify key interfaces
• review available information on engine health indicators and degradation metrics to es tablish links with maintenance trigger criteria and thresholds
• engage with manufacturers and domain experts to enhance the understanding of current industrial practices and relevant maintenance considerations
• develop a structured methodology to relate engine health metrics to relevant maintenance events through suitable performance thresholds
• document the approach, key assumptions, and resulting threshold definitions

Your profile

• advanced studies in aerospace engineering, mechanical engineering, industrial engineer ing, or a comparable field of study
• experience in turbomachinery, data processing, analytical models and programming
• interest in aviation-specific maintenance, aircraft propulsion, lifecycle analysis, and data driven assessment methods
• strong problem-solving skills
• systematic and structured thinking
• ability to work in a team and external partners
• very good written and spoken English skills

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.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 6030) please contact:

Dr. Ahmad Ali Pohya
Tel.:[phone]