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!

Req ID:  1215

Place of work:  Jena

Starting date:  Sofort

Career level:  Graduates, Experienced professionals, Doctorate

Type of employment:  Full-time, Part time

Duration of contract:  3 Jahre

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

At the Institute of Data Science in Jena, we are working on making the data backbone a reality for all DLR application areas (aeronautics, space, energy, transport, security). To this end, we develop and research methods in interdisciplinary work focussing 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 Data Analysis and Intelligence department aims to generate knowledge from data and to develop a deeper understanding of complex data sets and the associated processes. We develop data-driven approaches to gain insights and make informed decisions – a concept we refer to as “Knowledge from Data”.

In the “Causal Inference” working group, we pursue the goal of contributing to a data-driven understanding of complex dynamic processes. To this end, we develop and apply methods and software from the fields of causal inference and statistical learning. We pursue an application-driven approach and have a special focus on time series data. In addition, we develop algorithms from the field of quantum machine learning.

Your tasks

• familiarisation with the research fields of quantum machine learning and causal inference
• development of a hybrid quantum-classical algorithm for anomaly detection with causal inference
• implementation of algorithms as software including documentation
• evaluation and application of algorithms to data
• collaboration with internal and external project participants
• publication of scientific papers in journals or at prestigious conferences with peer-review processes
• presentation of projects and work results at conferences, workshops, trade fairs, etc.

Your profile

• completed scientific university degree (Master’s degree / university diploma) in mathematics, physics, statistics, computer science or another degree programme relevant to the position
• first experience in the independent and autonomous processing on complex research tasks
• expertise in the fields of quantum machine learning, causal inference, machine learning or statistical methods
• very good written and spoken English language skills
• good programming skills in Python
• proven publication record in/at scientific journals or conferences with peer review process

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 1215) please contact:

Andreas Gerhardus 
Tel.: +49 3641 30960 144