Contact
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Chair of Machine Learning and Uncertainty Quantification
Prof. Dr. Daniel Schnurr
- E-mail address: sekretariat.schnurr(at)ur.de (opens your email program)
- Tel: +49 941 943 68508 (starts a telephone call, if your device allows this)
- Location: Bajuwarenstr. 4, BA.510 - BA.515
- Important information: Secretariat Laura Pietschmann
Consultational Hours: Mon - Fri 9 a.m. - 3 p.m.
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Postal Address
- Important information: University of Regensburg
Faculty of Informatics and Data Science
Chair of Machine Learning and Uncertainty Quantification
93040 Regensburg
- Important information: University of Regensburg
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Visitor Address
- Location: Rooms: BA.510 - BA.515
- Important information: University of Regensburg
Faculty of Informatics and Data Science
Chair of Machine Learning and Uncertainty Quantification
Bajuwarenstra?e 4
93053 Regensburg
How to find us:
You can enter the faculty building through the left-hand main entrance on Bajuwarenstra?e.
The lifts to the upper floors are located on the right-hand side after the reception room.
On the 5th floor you will find the Chair premises in the left wing of the building.
Access by car & parking facilities:
You can reach the faculty by car in Regensburg via the Highway as follows:
Highway A3 - exit 100b Regensburg-Burgweinting - left onto B15 Franz-Josef-Strau?-Allee - left onto B15 Landshuter Str. - 2nd crossing left towards Bajuwarenstra?e - follow the road to the faculty building.
Parking is available at the front and back of the building.
When parking your car at the back, please pay attention to the Telekom and BAMF signs. Alternatively, you can also enter the underground car park.
By train/bus:
From the main railway station, you can take the RVV lines 2 (direction Schwabenstra?e) & 7 (direction Burgweinting Hermann-H?cherl-Str.) to the stop “Schwabenstra?e” and get off directly in front of the building.
Adress with Map
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