We are hiring in AI/machine learning, particularly in explainable AI & interpretable ML !
Please look through the open work opportunities below. We have different open positions ranging from dev jobs to PhD-positions and Postdocs. Please read this paragraph before sending any e-Mail:
If you apply for a job/position please send one e-Mail containing one single pdf file including 1) a motivation letter stating your goals in AI/machine learning and why you want to work with us on which topics and 2) your curriculum vitae along with your track record, to this e-Mail address: a.holzinger AT human-centered.ai
Note: if you send your eMail please make sure to put 22B12019 in the header to make sure that the e-Mail goes through the filter, all other e-mails will not pass the automatic filter system. Thank you for reading and following this paragraph.
More information can also be found on the welcome students pages here:
 706.505 Projekt Informationssysteme, 706.800, 706.801 Bachlorarbeit Informatik, 706.804, 706.805, Bachelorarbeit Softwarenetwicklung-Wirtschaft, 706.902 Bachelorarbeit Information and Computer Engineering, 706.501 Master-Projekt, 706.502 Master Project Web and Data Science, and 706.046 AK HCI https://online.tugraz.at/tug_online/wblvangebot.wbshowlvoffer?ppersonnr=5313
 MAKEpatho https://human-centered.ai/project/makepatho
 News from 26.10.2017 http://hci-kdd.org/2017/10/26/digital-pathology-worlds-fastest-scanner-now-working-graz
 Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs & Kurt Zatloukal 2017. Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology. arXiv:1712.06657.
 Thrun, S. 1996. Is learning the n-th thing any easier than learning the first? Advances in neural information processing systems (NIPS), 640-646.
“The most rewarding research is the one that delights the thinker and at the same time is beneficial to humankind” (Christian Doppler, 1803‐1853). The Human-Centered AI Lab (Holzinger group) is devoted to the guiding principle: “Science is to test crazy ideas – Engineering is to put these ideas into Business” (A.Holzinger, 2011, Successful Management of R&D).