Computer Scientist or Mathematician

vor 4 Wochen

Ulm, Baden-Württemberg, Deutschland Deutsches Zentrum für Luft- und Raumfahrt (DLR) Vollzeit

The German Aerospace Center (DLR) is seeking a highly skilled Computer Scientist or Mathematician to join our Institute for AI Safety and Security in Ulm. As a research assistant, you will contribute to the development of safe and secure AI-based solutions in ambitious application classes. Your expertise in information security, artificial intelligence, and programming skills in Python will be essential in ensuring the safety and security of AI-based solutions.

Main Research Areas:
  • Development processes and methods for safety-critical AI applications
  • Robust and reliable approaches to safeguard AI methods and algorithms
  • Safety and security in the context of AI-based applications
  • Management and use of sensitive data
  • Execution environments for AI-based applications
  • Innovative computation methods

The department Safety-Critical Data Infrastructures deals with data and information quality as well as the foundations for building secure, decentralized data infrastructures. Your task will be to develop methods for securing systems related to artificial intelligence and to research and develop approaches to secure data with regard to quality and attacks in distributed systems.

Key Responsibilities:
  • Research and development on methods for determining and improving information security and cyber security of classic IT systems and systems related to artificial intelligence
  • Research and development on approaches to data regarding attacks on IT systems in general and AI systems
  • Scientific research on studies and specialised information related to procedures and challenges in the development and implementation of concepts to increase IT security and AI security
  • Development of security concepts for distributed systems
  • Embedding the solution approaches (i.e. attacks and mitigation procedures) in distributed systems
  • Researching and analysing potential attack vectors and deception approaches to IT and AI systems
  • Development of countermeasures for attacks and deception approaches
  • Development of an approach for assessing risks and motives regarding attacks on IT/AI systems
  • Development of methods and approaches in the context of securing classic IT systems (e.g. certificates, authentication, encryption, etc.) and AI systems (attack security, protection concepts, etc.)
  • Integration into frameworks for AI systems, with the aim of making the researched methodologies directly usable in practice and available to a broad community
  • Development of protection concepts for IT and AI systems, including risk and requirements analyses for science and industry
  • Development of methods to relate the impact of security measures to the performance of systems
  • Implementation of prototypical applications and visualisations with regard to IT and AI security
  • Analysis of necessary process steps for embedding defence measures in existing process models
  • Analysis of possible approaches for the integration of technologies for the purpose of maintaining and increasing security in distributed systems
  • Preparation of scientific (partial) contributions for publications
  • Deduction of options for action for scientific and industrial applications
  • Presentation of scientific results
  • Control and management of externally funded and core-funded projects
  • Specialist support in the acquisition of national / European third-party funding

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