Your Tasks
- Develop and implement strategies to promote the AI Factory Austria’s services to users, stakeholders, and the broader public
- Establish and maintain partnerships with other AI Factories, EuroHPC Competence Centers, and related European/national AI initiatives
- Coordinate collaborative frameworks with testing facilities, Digital Innovation Hubs, and innovation ecosystems
- Organise community engagement activities such as events, workshops, and knowledge-sharing formats
- Collect, update, and analyse benchmarking data to improve the AI Factory’s Austria operations and share best practices across Europe
- Support researchers and innovators from the AI Factory Austria and partner institutions in exchanging the latest scientific methods and findings in fields such as biotechnology, manufacturing, public administration, and physics to accelerate innovation.
- Assisting business partners in effectively utilising new scientific results through targeted technology transfer activities.
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Your personal sphere of influence:
- Your main task is to complete and to submit your dissertation.
- Participation in teaching and independent teaching of courses as defined by the collective agreement.
- You participate in your department's and the Doctoral School activities and workshops.
- You participate in conferences and publish research results in peer-reviewed journals.
- You actively seek support (workshops, training, coaching etc.) if necessary.
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Your personal sphere of influence:
The research group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms” at the department of Computer Science focuses on provable security of cryptographic schemes. We develop new security definitions which match practical applications, explore complexity-theoretic relations, develop novel, sophisticated proof techniques, and design schemes that provably satisfy strong security guarantees. We search for a university assistant praedoc to strengthen our team and help us make the digital world safer.
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Your Tasks
- Define the requirement specification and design as well as perform the implementation & testing of the firmware application developed by the research group.
- Support unit level testing (e.g., functional tests for DPUs) and contribute to the respective test reports.
- Support the development of R&D projects for the group.
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Your Tasks
- Develop and merge innovative approaches in spatial data encoding, continuous output representation, and multi-variable simulation with dynamic data integration (Retrieval Augmented Generation, RAG) to push the boundaries of spatial stochastic simulation research.
- Design, prototype, and test advanced transformer-based methods tailored to complex spatial and multi-variable data.
- Create robust training protocols to manage non-stationary data and develop strategies for continuous output (e.g., raw value predictions, Fourier decomposition).
- Implement tokenization and cross-attention techniques to efficiently handle multi-variable simulations.
- Collaborate with international partners and contribute to an environment that values scientific freedom, interdisciplinary work, and curiosity-driven exploration.
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About the team:
- Participation in research projects / research studies
- Participation in publications / academic articles / presentations
- We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
- Participation in teaching and independent teaching of courses as defined by the collective agreement
- Supervision of students
- Involvement in the organisation of meetings, conferences, symposiums
- Involvement in the department administration as well as in teaching and research administration
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Your Tasks
- Focus on developing an exploratory landscape evolution model (LEM) and on collectively investigating (with the CHLS team) how climate change and human activities shape the landscape.
- Integrate mountain hazard processes (e.g. landslides, debris flow) into a LEM.
- Design your own research in the context of LEM in line withthe objectives of the CHLS research groupand publish results in peer-reviewed journals.
- Interdisciplinary collaboration within the CHLS team to enhance the conceptual model for the analysis of coupled human-landscape systems in mountain areas (Hossain et al. 2020). This includes the identification of crucial couplings and interactions within the biophysical dimension on different spatial and temporal scales.
- Contribute to a numerical prototype of a coupled human-landscape model, grounded in our conceptual framework and case-study sites. Socio-economic dynamics are covered by another postdoc focusing on agent-based modeling.
- Seek out and contribute to proposal writing efforts to secure third-party funding for further research within the group.
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Your personal sphere of influence:
The newly established Vienna Doctoral College on Digital Humanism invites applications from outstanding candidates eager to shape the future of this emerging interdisciplinary field. The Doctoral College is located across the TU Wien, University of Vienna, and WU Wien and its doctoral candidates tackle critical societal challenges arising from digital transformation.
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Your Tasks
- Lead the ÖAW Team within the AI Factory Austria
- Design and facilitate innovation sprints using frameworks like Design Thinking and agile methodologies.
- Guide cross-functional teams in ideating, prototyping, and validating AI-driven solutions.Evaluate feasibility and strategic alignment of AI prototypes and support next steps.
- Ensure compliance with AI ethics and regulatory principles throughout the sprint process.
- Capture results and derive insights to inform future development and scaling efforts.
- Establishing and maintaining networks in the field of artificial intelligence with academic institutions in Austria and internationally.
- Supporting researchers and innovators from the AI Factory Austria and partner institutions in exchanging the latest scientific methods and findings in fields such as biotechnology, manufacturing, public administration, and physics to accelerate innovation.
- Assisting business partners in effectively utilising new scientific results through targeted technology transfer activities.
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Your Tasks
- Design and coordinate AI training programs aligned with the AI Act and industry needs to upskill professionals and foster trustworthy AI.
- Establish and manage an internship and exchange program connecting academia, industry, and European AI partners.
- Build and maintain networks to promote AI related knowledge transfer and long-term collaboration across sectors.
- Serve as a central contact point for training, internships, and exchange activities within the AI Factory Austria.
- Monitor program impact, gather feedback, and ensure continuous improvement and strategic alignment.
- Support researchers and innovators from the AI Factory Austria and partner institutions in exchanging the latest scientific methods and findings in fields such as biotechnology, manufacturing, public administration, and physics to accelerate innovation.
- Assist business partners in effectively utilising new scientific results through targeted technology transfer activities.
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Your Tasks
- Develop Neural Network models to predict three dimensional complex molecular cluster structures and thermo-chemical properties.
- Support cloud formation modelling.
- Support scientific data interpretation (e.g., CHEOPS, JWST) and preparation for future missions.
- Publication and support in proposal writing activities, and collaborate with group members.
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Vollzeit | Teilzeit | befristet
Ihr persönlicher Spielraum:
- Abschluss Ihres Doktoratsstudiums.
- Mitwirkung an und selbständige Abhaltung von Lehrveranstaltungen im Ausmaß der kollektivvertraglichen Bestimmungen.
- Sie nehmen an den Aktivitäten und Workshops Ihres Instituts und der Doctoral School teil.
- Sie nehmen an Konferenzen teil und veröffentlichen Forschungsergebnisse in peer-reviewed Zeitschriften.
- Sie suchen aktiv Unterstützung (Workshops, Schulungen, Coaching usw.), wenn diese erforderlich ist.
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Your personal sphere of play:
- Development and evaluation of health behavior interventions, including interventions focusing on the physical environment and digital interventions
- Impact of study participation on the experience and behaviour of study probands (research participation effects)
- Social inequality in digital health interventions (Digital Divide)
- Women’s health
- Science communication
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Your Tasks
- user-oriented development of web applications for collaborative authoring, managing and publishing of research data and metadata
- collaboration with the other technical and scholarly team members from the project and the research unit DH Research and Infrastructure
- writing documentation and implementing automated tests for the developed applications
- documenting your work in joint publications with the research team of the dictionary
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Your personal sphere of influence:
- Collaboration and research in the field of Mathematical Data Sciences:
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Your personal sphere of influence:
- Collaboration and research in the field of Mathematical Data Sciences:
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Your workplace:
- As a Senior Lecturer, you will be involved in teaching at Bachelor's and Master's level in the area of Chemistry.
- The core tasks include both collaboration in laboratory practicals in the Bachelor's degree program in Chemistry and the independent implementation of digital practicals dedicated to the digital processing of large data sets. The focus here is on guiding students in the evaluation of experimental data and the use of digital methods in a chemical context.
- The ongoing revision of the current state of science as well as further didactic training are expected.
- In addition, the participation in administrative activities, especially in the administration and organization of teaching, is part of the job description.
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About the team:
- theoretical solid-state physics, including but not limited to modeling of oxides and their surfaces
- machine learning methods, and/or the development of novel solutions to the many-body Schrödinger equation.
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Your personal sphere of influence:
The newly established Vienna Doctoral College on Digital Humanism invites applications from outstanding candidates eager to shape the future of this emerging interdisciplinary field. The Doctoral College is located across the TU Wien, University of Vienna, and WU Wien and its doctoral candidates tackle critical societal challenges arising from digital transformation.
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