Natural scientist, engineer or similiar (f/m/x)

6945


Join Our Team!

Are you a skilled natural scientist or engineer passionate about leveraging advanced technologies to enhance maritime security? Do you thrive in a dynamic, collaborative environment? We're seeking a talented and motivated scientist to join our innovative research team. 

Dive into an exciting opportunity where you will deploy cutting-edge distributed acoustic sensing (DAS) networks and optimize corresponding methodologies, revolutionizing how we monitor and secure our critical maritime infrastructures. As a vital part of our team, you'll apply your expertise in fiber-optic sensing to extract valuable insights from sensor data based on pattern-recognition and machine learning to minimize risks for our vulnerable critical infrastructures at sea and coasts.

If you're ready to pioneer breakthroughs in maritime security using innovative methods and advanced technology and you want your work having a real-world impact, seize this opportunity and advance your career in a team-oriented environment and an excellent work atmosphere in a forward-thinking organization!

Perhaps you are also thinking about pursuing a PhD? At DLR, we will also support your academic journey!

Your mission:

  • planning, deployment and operation of distributed acoustic sensing (DAS) networks in different test environments at land and underwater
  • processing and analysis of acquired data, development of routines to extract the information from fiber optic sensor networks based on signal processing methods
  • planning, execution, and analysis of measurement campaigns and field tests to investigate the measurement method’s potential to increase the security status of critical maritime infrastructures
  • integration into the institute’s situational awareness system
  • publication of your research results in scientific journals and at conferences

 

Your qualifications:

  • university degree in a natural science or engineering field, e.g. (marine) geophysics, earth sciences, seismology, or similar
  • skills in handling high-tech instruments, ideally fiber optics and distributed acoustic sensing (DAS)
  • experience in conducting (field)experiments and/or setup and operation of sensor networks
  • skills in digital signal processing and experience in handling and analyzing large quantities of data
  • advanced programming skills in Python/C++ and related signal processing libraries
  • vehicle Driver’s license (class B is sufficient)
  • organizational skills and initiative, hands-on mentality
  • fluent English language skills (written and spoken), German is beneficial
  • experience in Machine Learning is beneficial


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.





DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt



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Deadline: 2024-05-31
Location: Germany, Bremerhaven
Categories: Earth Science, Engineer, geophysical sciences , Marine Technology, Natural Science, Seismology,

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