Mobility opportunities for Lecturers

Lecturers within the Ulysseus partner universities have the opportunity to teach a course at one of the other partner institutions. Here you can find the current course offers for them.

For the Ulysseus alliance, it is our common vision to become a best-practices model and an attractive European University. We strive to enhance seamless and climate-responsible mobility through intensive cooperation between all consortium members. As a student, academic or non-academic staff, you do not only have the opportunity to engage with the expertise of one or two universities, but of six institutions.

As courses will be updated on a regular basis, make sure to regularly check our website. Stay tuned and hoist your sails!

Teaching opportunities

IT course: Security for Smart Technologies

This call includes a guest lecture and a course held mostly online, partly on-campus. Security for Smart Technologies, Management, and Communication & IT are amongst the topics included. The course will be held online from week 1 to 3 in evening classes; week 4 will be held on campus.

Deadline: October 31, 2021
for the session held from January 10 to February 3, 2022

Deadline: November 30, 2021
for the course held from January 20 to February 4, 2022

BBA level international business courses as Haaga-Helia summer offering

Co-teaching BBA level IB courses online with Haaga-Helia colleague (50% + 50%)

Deadline: September 30, 2021

Lecturers interested in teaching at a Ulysseus partner institution

If you are a lecturer at a Ulysseus member university and you want to teach in another  partner institution, don’t hesitate to contact us on internationalcentre@ulysseus.eu. Would you like to know who is interested so far? Contact them by clicking on the buttons below!

FH-Prof. Dr. Stephan Schlögl

Areas of interest: Human-Computer Interaction, Artificial Intelligence, Software Engineering, Business Intelligence, Qualitative Research Methods.

Assoc. Prof. Dr. Pascal Schöttle

Areas of interest: IT Security, Machine Learning.