Your personal sphere of play
- You build up your research profile and proactively integrate in the research group.
- You publish in internationally, high-ranking journals.
- You present your research at national and international conferences, meetings, and symposia.
- You actively engage in applying for third-party funded projects.
- You hold courses independently within the scope of the provisions of the collective bargaining agreement.
- You supervise students and participate in examination activities within the Bachelor and Master programs Journalism and Communication Studies.
- You participate in evaluation measures and quality assurance.
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Your workplace:
- You will teach courses independently for an average of 8 SWS per semester. The willingness to increase the employment relationship if required is desired.
- You deliver core lectures in the area of the interdisciplinary foundations of political science and political science research skills.
- You also teach in the field of International Politics, with a focus on theories of International Relations and International Political Economy.
- You will also teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal).
- You will take on administrative tasks, particularly in the administration of teaching.
- We expect you to keep abreast of the latest scientific developments and to participate in further didactic training, the exchange of experience between teachers and quality assurance measures.
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Vollzeit | Teilzeit | befristet
Your personal sphere of influence:
- Developing and strengthening your independent research profile
- High-quality research, international presentation and publication activity
- Collaborating on research studies with a dynamic team of demographic experts
- Participate in the doctoral programme of the VIDSS, complete 30 ECTS through course attendance and external activities (see detail here: https://vds-sosci.univie.ac.at/doctoral-programme/)
- You hold courses independently within the provisions of the collective bargaining agreement
- Involvement in the department’s administration, in research dissemination and in scientific and teaching activities.
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Your Tasks
- Completed doctorate in mathematics or applied mathematics.
- Strong background in fields related numerical analysis, in particular Information-Based Complexity, Approximation Theory, or Multivariate Algorithms.
- Experience in mathematical research at an internationally competitive level, in publishing results in internationally refereed journals of high quality, and in giving scientific presentations at international conferences and workshops.
- Strong skills of English.
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Your Tasks
- A full-time employment (40 h/week), initially limited for one year, intended to be permanent
- A position in an innovative and internationally active environment crucial to succes
- Numerous voluntary social benefits
- Flex time arrangement
- Opportunity to work independently and develop personally
- A monthly gross salary of at least € 4054,62 (14 times per year) according to the salary scale of the Austrian Academy of Sciences (N4/2).(Depending on qualification and experience, the salary can be negotiated.)
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Your workplace:
- You will teach courses independently for an average of 8 SWS per semester. We would welcome the possibility to increase the level of employment if required and if budgetary resources allow this.
- You will teach in the areas of Qualitative Methods and Policy Studies, and additionally in the interdisciplinary foundations and academic skills.
- You will also teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal).
- You will take on administrative tasks, particularly in the administration of teaching.
- We expect you to keep abreast of the latest scientific developments and to participate in further didactic training, the exchange of experience between teachers and quality assurance measures.
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Tasks:
- Molecular biological analyses for health-related water microbiology (e.g. DNA extraction, PCR, qPCR, sequencing)
- Bioinformatic analyses of microbial community composition using sequencing data
- Statistical analyses of environmental and microbiological data
- Sample collection (water samples from various environments)
- Participation in ongoing projects and collaborative work within a research network
- Contribution to scientific publications and presentations
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Your personal sphere of play:
- You contribute to the group’s development through outreach, networking, editorial work, and co-organization of events such as conferences and workshops
- You contribute to and lead international publications and presentations
- You acquire third-party funding on Austrian and European level
- Independent teaching (as defined by the collective agreement), mentoring, and supervision of students
- Maintaining and deepening the group's strong ties to industry, government agencies, and international partners
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Tasks:
- Proactive collaboration in the integration and development of concepts for implementing of AI/ML in research into the ethics review process and the services provided by the Unit of Responsible Research Practices
- Continuous development and ensuring the quality of the research ethics review process, workflows and follow-up of the TU Wien Research Ethics Committee
- Independent consulting and training in the field of research ethics and integrity
- Development of policy documents, shaping structures, and creating training activities for research ethics and integrity for different audiences in the TU Wien
- Conceptualization and creating materials to be used for research ethics and integrity capacity building, consulting, training and raising awareness
- Consulting with the Head of Unit for Research Ethics and Integrity in formulating policy and concepts
- Active participation in identifying and addressing new emerging topic areas in research ethics and research integrity / responsible research
- Documenting and communicating the activities of the Research Ethics Committee and the Service Unit
- Participation in the Unit’s projects and support in organization of its events
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Vollzeit | befristet | Geringfügig
Your workplace:
- You will teach courses independently for an average of 8 SWS per semester. A willingness to increase the level of employment if required and if budgetary resources allow would be welcome.
- You will teach in the areas of quantitative methods and the Austrian political system.
- You will also be involved in BA thesis seminars as well as substantive and research-oriented seminars at the MA level (e.g., proposal seminars).
- You will take on administrative tasks, particularly in the administration of teaching.
- We expect you to keep abreast of the latest scientific developments and to participate in further didactic training, the exchange of experience between teachers and quality assurance measures.
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Tasks:
- Theoretical and computational research in soft matter and biological systems, with a focus on developing coarse-grained models for macromolecules such as proteins, antibodies, nucleic acid structures, and soft polymeric materials. Tasks include the design of accurate and efficient coarse-grained models, simulation using classical Monte Carlo and molecular dynamics methods, and validation of results against experimental data
- Writing and publishing of a dissertation and scientific articles
- Participation in research and project activities
- Participation in scientific events
- Participation in teaching activities and exams
- Participation in supervision and work with students
- Participation in organizational and administrative tasks
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Tasks:
- Design, implement, supervise, and conduct scientific investigation of multimodal human-robot interaction in interdisciplinary contexts
- The ability to develop methods, concepts, as well as their realization and evaluation and the willingness to contribute in interdisciplinary scientific projects
- Independant teaching via lecturing and student thesis supervision
- Write and publish scientific publications in international peer-reviewed journals and disseminate research results to an international audience
- Apply to and manage third-party research funding programs
- Participation in organizational and administrative tasks of the research division and the faculty
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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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Tasks:
- Develop advanced spatially-resolved characterisation methods based on X-ray diffraction tomography and/or hyperspectral X-ray imaging
- Participate in measurement campaigns internationally at synchrotron light sources and other large-scale research facilities
- Develop broad personal competence in characterisation of functional materials
- Actively participate in, and initiate, research collaborations within the faculty and on (inter)national level
- Collect, treat, and interpret research data effectively and efficiently according to FAIR principles
- Participate in teaching and supervision of students
- Participate in scientific events, including national and international conferences, workshops, etc.
- Participate in organizational and administrative tasks of the research division and the faculty
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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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Your personal sphere of influence:
As a university assistant (praedoc) on this 4-year position you will be part of the “Quantum Information and Quantum Many-Body Physics” group, led by Prof. Norbert Schuch. Our research lies at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science.
Our research group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty of Mathematics. Furthermore, we are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence quantA, which aims at advancing basic research in quantum sciences, expanding the frontiers of knowledge, and thus driving future innovations.
As a doctoral candidate, you will also benefit from becoming a member of either the Vienna Doctoral School in Physics (VDSP) or the Vienna School of Mathematics (VSM).
As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics and projects in our group meetings. More information about our research areas and our team can be found on our homepage at https://schuch.univie.ac.at/.
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Your personal sphere of play:
- Establishment of a sustainable spatial data infrastructure (SDI) for the long-term (re)use and archiving of research results across campus
- Provision of customized geo-tools analytical and communication (e.g., mapping) services across disciplines
- Optimization of geo-communication through innovative analysis and visualization approaches
- Create synergies through centralized development and provision of geo-data solutions
- Consulting and (semi-automatic) quality control to ensure geo-data products such as Web maps and future generative GeoAI results released at the University of Vienna meet geocommunication requirements and international geo-data standards (e.g., OGC and W3C)
- Integration of the GHD into a future center for long-term anchoring, promotion of interdisciplinary cooperation, and strategic development in the area of (spatial) data science
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