Your personal sphere of play:
- Conduct and publish high-quality, theory-driven, and empirically rigorous research in the field of international business with a focus on family firm internationalisation, with the objective of contributing to leading international peer-reviewed journals.
- Build and consolidate an independent research profile in international business, with a particular focus on family firm internationalization, and actively contribute to advancing scholarly debates in this area.
- Be actively involved in research projects and scientific studies at the Institute of International Business, especially in the areas of network embeddedness, family firms, and internationalization processes.
- Apply and further develop qualitative research methods (e.g., interviews, case studies, archival research) in the design, execution, and dissemination of international business research.
- Actively collaborate in the research activities of the institute and contribute to the further development of its research agenda under the direction of Univ.-Prof. Maria Emmanouela Plakogiannaki, PhD.
- Participate in the acquisition, implementation, and dissemination of third-party funded research projects, including the preparation of competitive research grant applications.
- Develop an independent academic profile and engage in international scholarly networks, conferences, and workshops.
- Contribute to teaching in international business–related courses at the bachelor’s and master’s levels, including course preparation, delivery, assessment, and student supervision.
- Supervise bachelor’s and master’s theses and support doctoral researchers in the area of international business.
- Participate in organizational and administrative tasks related to research, teaching, and academic self-governance of the Department and Faculty.
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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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