Scientist in the field of decision support

Overview

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.

Critical infrastructures are essential for state and society. Their protection and thus the secure supply of society in a dynamic world is the goal of the Institute for the Protection of Terrestrial Infrastructures. The institute develops concepts based on the resilience of infrastructures against current and future threats. Digital twins are used to identify potential threat situations, determine the situational protection status, and analyze potential measures to minimize impacts over the entire resilience cycle. At the same time, digital twins are used for strategic adaptation to future threats.

The department "Resilience and Risk Methodology" performs fundamental research in the fields of modeling and description in order to make threat situations analyzable, resilience measurable and the systemic effect of (socio-)technical measures describable in models. In order to enhance the resilience of critical infrastructure and services that are essential to the population, it makes sense to use scientific methods to support both the preparation for potential crisis scenarios and the necessary ad hoc response to acute crisis situations.

Both in preparing for and managing crisis situations, complex decisions must be made regarding the required scope and allocation of necessary resources for crisis management. These decisions can be viewed as an optimization problem in a complex system fraught with many uncertainties, taking into account the often numerous constraints and objectives. The initially unclear situation in crisis situations means that relevant information about the state of the system is only gradually made available, which leads to a sequential nature of some of the decision-making problems.

What To Expect

With your work, you will make a decisive contribution to optimizing decision-making processes for resource allocation in resilience and crisis management. You will research methods for analysing and modelling all system properties relevant to the optimization process and for optimizing the allocation of essential resources. You will further develop these methods and put them into practice. In doing so, you will also take into account the various forms of uncertainty, for example regarding the reliability of information or regarding the course of crisis scenarios, and their impact on determining the optimal solution.

Your tasks

• Identification, analysis, and further development of methods for optimizing resource allocation under the following constraints:
• Consideration of different objectives with regard to strategic long-term or tactical short-term decisions concerning resource allocation
• Selection of modelling approaches depending on the available information about the system and the objective
• Investigation of the possible applications of different approaches to take into account uncertainties or the partly sequential nature of decisions

• Communication of the achieved results in the field of activity in the form of publications in scientific journals and presentations at national as well as international conferences
• Coordination of research and development projects

Your profile

Completed scientific university degree (master's/diploma) in natural sciences (e.g., mathematics, physics), engineering, computer science, or other fields of study relevant to the position.

Good specialist knowledge in a field related to operations research, such as mathematical optimization, control theory, or a field from the area of decision theory, such as sequential decision making or Markov decision problems.

Experience in modeling and simulating complex or stochastic systems, e.g. using probabilistic models

Excellent verbal and written communication skills and business fluent English

Strong communication and cooperation skills as well as the ability to work in a team

Desirable Qualifications

• A completed PhD
• Experience in the realization of third-party funded projects
• Experience in dealing with industry partners, preferably also in joint projects

Wir freuen uns darauf, dich kennenzulernen!

Questions Regarding This Position (Kennziffer 3072) Answered conveniently by Daniel Lichte

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Job metadata

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industries: Research Services

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