3 Ecosystem Science Jobs in Wien
About this position:
- Involvement in and finalizing of a research project as detailed in your doctoral thesis agreement
- Publications and presentations
- Involvement in project applications for third-party funding
- Teaching of courses as defined by the collective agreement
- Supervision of trainees and students
- Meeting and consulting with your supervisor(s) on a regular basis in order to prioritize your tasks and get the necessary support to complete your dissertation successfully in time.
- Actively seeking support (workshops, training, coaching etc.) if necessary
- We expect you to make significant progress on your doctoral thesis through related milestones during the time of the short-term contract.
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Tasks:
- Contribute to the strategic development of the dataTUdiscovery service center in a leading role, including interfaculty cooperation, innovation in AI methodologies, and integration with TU Wien’s digital research ecosystem
- Collaborate with domain researchers based on incoming dataTUdiscovery service center projects across faculties to translate scientific questions into AI-based approaches and co-develop research solutions
- Analyze and interpret scientific data and domain-specific requirements from chemistry, physics, materials science, and/or mathematics to design appropriate AI/ML models and guide methodological choices
- Develop reusable and reproducible AI models, workflows, and software components, contributing to TU Wien’s open research infrastructure (e.g. TU Wien Cookbooks)
- Co-author publications of research results in peer-reviewed journals and potentially present outcomes at international venues to enhance TU Wien’s visibility in Research and AI
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Tasks:
- Contribute to the strategic development of the dataTUdiscovery service center in a leading role, including interfaculty cooperation, innovation in AI methodologies, and integration with TU Wien’s digital research ecosystem
- Collaborate with domain researchers based on incoming dataTUdiscovery service center projects to transform scientific problems into robust computational workflows, including data preprocessing, model selection, and validation
- Develop reusable AI models, workflows, and software components, contributing to TU Wien’s open research infrastructure (e.g. TU Wien Cookbooks)
- Ensure reproducibility, versioning, documentation, and deployment of AI/ML tools using best-practice software engineering, e.g., Continuous Integration and Delivery, containerization, model lifecycle management
- Co-author publications of research results in peer-reviewed journals and potentially present outcomes at international venues to enhance TU Wien’s visibility in Research and AI
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