University assistant predoctoral

Universität Wien

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Über die Stelle

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, [...]

Aufgaben

The successful candidate will participate in the Department’s research, teaching—to the extent regulated by the collective bargaining agreement—and administration. This involves:

  • Developing, conducting and completing a doctoral research project within the research areas described above.
  • Finalising the dissertation agreement within 12–18 months.
  • Analysing behavioural and neuroscientific data and developing transparent and reproducible analysis workflows.
  • Participating in research projects and scientific studies conducted within the Brain and Language Lab.
  • Preparing international scientific publications and presenting research findings at national and international conferences.
  • Participating in the activities and training programme of the Vienna Doctoral School in Cognition, Behaviour and Neuroscience.
  • Independently teaching courses in accordance with the provisions of the collective bargaining agreement.
  • [...]

Anforderungen

  • A completed Master’s degree or equivalent in psychology, biomedical engineering, cognitive neuroscience, neuroscience, cognitive science, computer science, data science, physics or another relevant discipline. Applicants from other disciplinary backgrounds are welcome provided that their subsequent training and research experience demonstrate substantial preparation in cognitive neuroscience and quantitative methods.
  • Research experience in cognitive neuroscience, including experience working with empirical behavioural and/or neuroscientific data.
  • Strong programming skills relevant to scientific data analysis, demonstrated through substantive experience with at least one programming language such as Python, R, MATLAB or a comparable language.
  • A strong background in statistics and quantitative research methods, including practical experience applying statistical methods to empirical data.
  • Experience with experimental design, data processing and the interpretation of complex datasets.
  • Experience in scientific writing and research methods, for example through the completion of an empirical Master’s thesis.
  • Excellent command of written and spoken English.
  • [...]

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Quelle und Aktualität

Quelle: Offizielles Karriereportal des Arbeitgebers. Zuletzt geprüft: 26.09.2026, 00:25. Die Angaben werden automatisch aufbereitet; Fehler sind möglich. Maßgeblich ist immer die Originalausschreibung.

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