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Computer scientist, Mathematician, Data scientist (f/m/x)
Job Description
Req ID:  3533
Place of work:  Jena
Starting date:  as soon as possible
Career level:  Experienced professionals, Graduates
Type of employment:  Part time, Full-time
Duration of contract:  3 years

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 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!

At the Institute of Data Science in Jena, we are working on making the data backbone a reality for all DLR application areas (aviation, space, energy, transportation, security). To this end, we develop and research methods in interdisciplinary work with a focus on applications such as sustainable and circular processes, resilient supply chains, data-driven value chains or robust decision support. The methods developed in this way are applied in cooperation with other DLR institutes and external partners, either as part of joint projects or as part of technology transfer activities.

 

What to expect

The research and development work of the department Data Acquisition and Mobilisation aims to provide high-quality data for industry and science. This forms the basis for achieving sustainable interdisciplinary value chains and for data-driven decision support in complex systems. The key challenges here are usability, availability and access.

 

Data forms the basis for data-driven business models and research. The basis for this is the controlled, fair and self-determined exchange of data between data providers and data consumers within the framework of data spaces and data ecosystems. In this context, data is processed almost exclusively by software. The development of reliable, robust and secure software therefore plays an important role, especially when software is a component of critical systems and infrastructures. A software failure or vulnerability to cyber attacks, for example, can have catastrophic consequences and damage both for satellites and for digitised administrative services. It is therefore important to support developers in the realisation of secure, robust and reliable software systems and architectures. The *Secure Software Engineering* working group systematically researches methods, tools and processes for secure software development. Its aim is to automate all security aspects of the software life cycle as far as possible.

 

Your tasks

  • implementation of methods and tools for secure software engineering, such as software security lifecycles, threat modelling, risk analysis
  • documentation and communication of processes for developing secure software
  • development of secure software systems and architectures in challenging application domains such as aerospace, aviation and industry

 

Your profile

  • completed scientific university degree (Master's degree/university diploma) in computer science, mathematics, data science or other degree programmes relevant to the position
  • knowledge of software engineering and software development
  • knowledge of IT security and data protection
  • willingness to travel (national/international) 
  • very good written and spoken English or German language 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 3533) please contact:

Friederike Klan 
Tel.: +49 3641 30960 555