KL Alumni Club
You inspire - we connect.
The KL Alumni Club - a place where people come together.
Our offer:
- Networking and KL alumni meetings
- Special conditions for KL Academy continuing education
- Fireside chats with experts from the health sciences
- Industry-specific events at favorable conditions
- Newsletter with news from the university and the Alumni Club
- Continue to help shape the university in the future.
Join the KL Alumni Club now
- Maintaining contact between graduates and Karl Landsteiner University through events, as well as through the founding of sections and cooperation with existing associations with similar objectives, which must serve the purposes outlined in § 2 para. 3.
- Establishment of a national and international network that supports Karl Landsteiner University in its tasks
- Promoting the goals of Karl Landsteiner University and supporting the university management in achieving these goals.
- Promoting the exchange of information and experience between graduates and the university and graduates at home and abroad, as well as the transfer of knowledge.
- Promote health sciences and practice by maintaining the connection between the university and its graduates.
- Creation of structures for advising, supporting and promoting students and graduates in career planning.
- Promotion of Research and Young Scientists at Karl Landsteiner University
- Assistance with student and faculty mobility
- Maintaining contact between science and practice through lectures, seminars, conferences, symposia and social events
- Counseling and assistance for graduates and students in distress
- Creation of advertising media
- Organization of identity-building events
- Development of special offers for club members
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Full Members:
All physical persons who have successfully completed a full or associate degree at Karl Landsteiner Private University and who pay a membership fee, the amount of which is to be determined by the Alumni Club's Board of Directors, may become full members. - Supporting members:
may become physical and legal persons who promote and support the objectives of the Association and who pay an annual membership fee, the amount of which is to be determined by the Alumni Club's Board of Directors.
- Sponsors:
can become legal entities that contribute to the association a minimum amount to be determined by the board.
- Junior Members:
can become all physical persons who complete a regular or associate degree program at Karl Landsteiner Private University and pay a membership fee, the amount of which is to be determined by the Executive Board. Full membership can be applied for at any time after successful completion of studies.
- Honorary members:
can become all those individuals who have rendered outstanding services to the purposes of the association.
- Trial fee for students/graduates in the 1st year: 15,00 Euro
- Students and graduates from the 2nd year: 30,00 Euro
Impressions
Upcoming Events of the Alumni Club
Take a walk through the new KL buildings with Rector Mallinger at the Walk & Talk on October 25, 2024 from 7:00 pm (meeting point in front of Wing Y) and get a KL news update. Afterwards, you will have the opportunity to attend the Semester Opening at Kloster UND.
You will find the link to register in your e-mails.
We are pleased to announce that the fourth fireside chat followed by a get-together is scheduled for November.
You will receive a personal invitation by e-mail in good time.
Past events of the Alumni Club
On May 11, 2023, the Rectorate invited KL students, KL Alumni Club members and teaching staff to a fireside chat with neuroscientist Dr. Dietrich Haubenberger. Dietrich Haubenberger is one of the most successful Austrians:abroad in the U.S. in the field of neuroscience. The neurologist conducts translational research with a focus on movement disorders. In addition to being a leter of clinical translational research at the biopharmaceutical company Neurocrine Biosciences in San Diego, he has been president of ASciNA (Austrian Scientists and Scholars in North America) since 2019. The fireside chat was followed by an exclusive get-together for Alumni Club members in the Filmbar.
Sandra Gaupmann is Head of the Psychological Service at Stein Prison and reported on the work of psychologists in the prison system on November 29. She gave an insight into the definition of the term "forensic psychology" as well as the diagnosis, treatment and care of prisoners with a focus on risk management, danger reduction and resocialization. In a discussion with Dr. Jürgen Goller, Head of Psychology at KL, Ms. Gaupmann spoke about the psychological causes of delinquency, the benefits of treating prisoners for the population and culpability in connection with mental illness.
Following this thematically very exciting fireside chat, a network meeting was held in a relaxed atmosphere for all Alumni Club members present, where Ms. Gaupmann was available for discussions and exchanges.
The Alumni Club de KL would like to thank Ms. Gaupmann for the successful evening, the insights into forensic psychology and the exchange afterwards.
Artificial intelligence applications will fundamentally reshape medicine. This process has already begun. Established practices, existing forms of relationships and role models as well as the environments in the healthcare sector are changing with increasing speed. The major transformation of medicine through artificial intelligence is the subject of the new book by Prof. Dr. Giovanni Rubeis entitled “Ethics of Medical AI”, which has just been published by Springer Nature. At the fireside chat, Prof. Rubeis and Prof. Clemens Heitzinger discussed the impact of technology on medicine today.
Prof. Dr. Giovanni Rubeis is head of the Department of Biomedical Ethics and Healthcare Ethics at KL. He is co-founder and coordinator of the working group “Digitalization and Health” of the Academy for Ethics in Medicine (AEM) and leads ethics training courses of the Austrian Medical Association and the German Federal Chamber of Psychotherapists (BPtK).
Clemens Heitzinger is Co-Director of the “Center for Artificial Intelligence and Machine Learning (CAIML)” at the Vienna University of Technology. He is Associate Professor of the Machine Learning Research Unit of the Institute of Information Systems Engineering in the Department of Informatics (Computer Science)