| Title | Time | Room | Instructor |
|---|---|---|---|
| Leadership for Postdocs | 19.06.2026 09:00 - 17:00 (Fri) | Sunstone Bldg / O1 / Big Office Meeting room (101) (I23.O1.101) | Andrea Schaffar Riva, Valentina |
| Leadership for Postdocs | 03.07.2026 09:00 - 17:00 (Fri) | Central Bldg / O1 / Ballroom (I01.O1.006) | Andrea Schaffar Riva, Valentina |
Description:
Leadership skills are essential for tackling today’s challenges in scientific work, and Mag.a Dr.in Andrea Schaffar (biography below) will guide you in developing these skills. This course will introduce you to the fundamentals of leadership and personal development. You will explore different leadership styles, share and reflect on personal experiences, and gain insights into various leadership approaches. Additionally, you will examine the role of social interactions and group structures while identifying and enhancing your individual leadership skills.
Particular emphasis will be placed on diversity in leadership within international research teams, helping you understand and leverage diverse perspectives for improved team performance.
At the end of the first day, you will receive a homework assignment that will serve as the starting point for the second workshop day. On this day, interactive peer consulting sessions will be conducted to work through real-world scenarios.
About the Instructor: Andrea Schaffar holds a doctorate in Cultural Sociology. Although she is trained as a communicator and social scientist, she has a strong focus on qualitative and interpretative research. Since July 2025 she became Head of ArtXScience School of Transformation at JKU, in Linz.
This workshop is designed for postdoctoral researchers, who will be given priority. However, if the maximum capacity is not reached, senior PhD students will also have the opportunity to register.
Capacity:
14/14
Course Code:
C_OTH-2015_S26
Course instructor(s):
Valentina Riva
Main Contact:
Valentina Riva
Course type:
Taught course
Secondary Track(s):
Biology
Chemistry & Materials
Computer Science
Data Science & Scientific Computing
Mathematics
Neuroscience
Physics
Course format:
On campus
Classroom requirements:
Whiteboard
Flipchart
Projector
Capacity for 10-15
Capacity for 15-20
Duration:
Blocked course
ECTS:
1
Semester:
Spring 2
Minimum number of participants:
8
Target audience:
Postdocs and senior PhD students.
Priority will be given to Postdocs.
This course counts towards the Essential Skills Requirement for PhD Students (2022 cohort and onwards).
Prerequisites:
None
Teaching format:
In presence.
Homework assignment.
Assessment form(s):
Participation
Grading scheme:
Pass/fail
Course Category:
Credit Course
Academic Year:
AY 2025/26
Moodle Course: