Ihre Aufgaben:
- Engagierte Mitarbeit in der Vorbereitung und Umsetzung von Projekten im Bereich Autonomous Racing (RoboRacer)
- Administrative Mitwirkung in der Lehre sowie in der Betreuung von Studierenden (z.B. LVA Betriebssysteme, Autonomous Racing Cars)
- Organisatorische Unterstützung bei der Betreuung von Übungen
- Mitarbeit bei Organisations- und Verwaltungsaufgaben im Bereich der Lehre
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Tasks:
- Perform independent research on the respective research topic
- Present research results at international conferences and other scientific events
- Successful completion of milestones and curriculum of the doctoral college
- Participation in scientific events and other outreach activities organized by the doctoral college and the Doctoral School of TU Wien
- Write a dissertation and publications
- Participation in organizational and administrative tasks of the doctoral college
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About the team:
- You develop software engineering methods and tools with a specific focus on
- Software Architecture and Design,
- LLMs for Software Engineering or Security Engineering,
- Agentic AI in Software Development Context,
- API Design and Engineering,
- Design and Architecture of Microservice Design,
- Software Engineering for Machine Learning,
- Code Analysis/Generation for Machine Learning and MLOps, and
- Continuous Delivery and/or MLOps.
- You participate in research projects and studies.
- You hold university courses as defined by the collective bargaining agreement. Here, you supervise your students in courses about software architecture, software design, distributed systems engineering and software engineering.
- We expect you to sign a doctoral thesis agreement within 12-18 months.
- You publish internationally and give presentations.
- You are involved in organizing meetings, conferences and symposia.
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Tasks:
- Reuse and variability modeling for configurable and adaptable software systems, enabling systematic reuse across domains and lifecycle phases
- Software and system product line engineering focusing on integration, evolution, and governance of product line ecosystems across organizational and technological boundaries
- Multi-domain modeling and systems integration, supporting the engineering of complex systems across software and other domains, e.g., Cyber-Physical (Production) Systems, addressing challenges of scalability, interoperability, and evolution
- Empirical and data-driven software engineering, leveraging industrial data and model repositories, for evidence-based improvement of engineering processes
- Software testing, analysis, and evolution, emphasizing automation, variability-aware techniques, and empirical validation
- Secure, reliable, and responsible software engineering, ensuring compliance with technical and ethical requirements in multi-domain and software-intensive systems
- Software engineering for emerging systems engineering paradigms
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Your Tasks
- Ground-support software for the testing of space-qualified instruments: maintenance and development, remote/automated commanding and monitoring, data processing and data visualization.
- Data processing pipelines for ESA space missions: maintenance and operation, incl. leading the completion of the IWF particle spectrometer pipeline on board BepiColombo.
- AI/ML operational project support in form of data engineering and preprocessing as well as test, deployment and maintenance of, for example, a self-contained, local and autonomous ChatBot framework.
- Maintenance and further development of software for the control of test facilities (e.g. thermal chamber) and the management of the internal database for of space-qualified EEE parts.
- Contributing to IT user support.
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Vollzeit | Teilzeit | befristet
Ihr persönlicher Spielraum:
- Sie entwickeln Software Engineering Methoden und Tools in den Bereichen
- Software Architecture und Design,
- LLMs für Software Engineering oder Security Engineering,
- Agentic AI im Softwareentwicklungskontext,
- API Design und Engineering,
- Design und Architecture von Microservice Design,
- Software Engineering für Machine Learning,
- Code Analysis/Generation für Machine Learning und MLOps, und
- Continuous Delivery und/oder MLOps.
- Sie wirken in Forschungsprojekten und bei wissenschaftlichen Studien in den oben genannten Bereichen mit.
- Sie halten Lehrveranstaltungen im Ausmaß der kollektivvertraglichen Bestimmungen selbstständig ab und betreuen dabei Ihre Studierenden in Lehrveranstaltungen zu Software Architecture, Software Design, Distributed Systems Engineering und Software Engineering.
- Wir erwarten, dass Sie Ihre Dissertationsvereinbarung binnen 12-18 Monaten abschließen.
- Sie publizieren international und halten Vorträge.
- Sie tragen zur Organisation von Tagungen, Konferenzen und Symposien bei.
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Vollzeit | Teilzeit | befristet
Your personal scope of action:
- Renowned management programs: e.g. M.Sc. in Business
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