Professor Of Ethics Of Artificial Intelligence

Universities and Institutes of Austria
October 26, 2022
Contact:N/A
Offerd Salary:Salary subject to egotiation.
Location:N/A
Working address:N/A
Contract Type:Temporary
Working Time:Full time
Working type:N/A
Job Ref.:N/A
  • Organisation/Company: Karl-Franzens-University Graz
  • Research Field: Other
  • Researcher Profile: Leading Researcher (R4)
  • Application Deadline: 26/10/2022 00:00 - Europe/Brussels
  • Location: Austria › 8010 Graz
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 40
  • Offer Starting Date: 01/01/2023
  • Reference Number: VV/15/99 ex 2021/22
  • The successful candidate is expected to develop an independent research profile in the field of ethics of digital transformation, with special emphasis placed on AI and/or data-intensive research. The main areas of responsibility include research into the responsible development and use of AI, machine learning and big data in different areas of society such as business, administration or policy. Possible research topics, which can optionally be addressed via science studies, (meta-) ethics or political philosophy, comprise the development of responsible or explainable AI, democracy in the context of AI, autonomy and modification of behaviour or societal innovation and regulation. Connections to one or more of the established key areas of digital transformation at the University of Graz, including the interdisciplinary basic research into AI and data-intensive methods at the IdeaLab or the field of excellence “Smart Regulation”, are preferred. A strong commitment to interdisciplinary research, efforts to attract contractual research projects and teaching in the interdisciplinary master's programme “AI and society” are expected. We also expect gender mainstreaming skills.

    Benefits

    The minimum remuneration as stated in the Collective Bargaining Agreement is EUR 76.127,80 gross per year. Salary subject to negotiation.

    Additional comments

    Please submit your application documents (in German or English) in accordance with the general application guidelines (which can be found at https:// jobs.uni-graz.at/en/Berufungsverfahren) before the stated deadline. Your application documents should include the reference number of the position and be sent by email to:

    bewerbung.professur@uni-graz.at

    Web site for additional job details

    https: // jobs.uni-graz.at/en/VV/15/99

    Offer Requirements Skills/Qualifications

    The successful candidate is expected to develop an independent research profile in the field of ethics of digital transformation, with special emphasis placed on AI and/or data-intensive research. The main areas of responsibility include research into the responsible development and use of AI, machine learning and big data in different areas of society such as business, administration or policy. Possible research topics, which can optionally be addressed via science studies, (meta-) ethics or political philosophy, comprise the development of responsible or explainable AI, democracy in the context of AI, autonomy and modification of behaviour or societal innovation and regulation.

    Connections to one or more of the established key areas of digital transformation at the University of Graz, including the interdisciplinary basic research into AI and data-intensive methods at the IdeaLab or the field of excellence “Smart Regulation”, are preferred. A strong commitment to interdisciplinary research, efforts to attract contractual research projects and teaching in the interdisciplinary master's programme “AI and society” are expected.

    Employment requirements:
  • Austrian or equivalent foreign higher education degree corresponding with the position (doctorate/PhD)
  • Habilitation or equivalent qualification
  • Outstanding academic qualifications in research and teaching in the relevant discipline (commensurate with stage of academic career)
  • Skills in higher education didactics and online teaching
  • Gender mainstreaming skills
  • Proven experience in interdisciplinary projects
  • International publications and lectures
  • Technical understanding of AI and ML (desirable)
  • Involvement in relevant international scientific communities
  • Competence to hold lectures in English and German
  • Management and leadership skills
  • The successful candidate will be highly motivated, aiming for academic excellence and integrity in research and teaching. He/she will have demonstrated ability to collaborate constructively in a responsible manner and inspire colleagues and students in an interdisciplinary, internationally oriented context.

    Contact Information
  • Organisation/Company: Karl-Franzens-University Graz
  • Department: IdeaLab
  • Organisation Type: Higher Education Institute
  • Website: https:// www. uni-graz.at
  • Country: Austria
  • City: 8010 Graz
  • State/Province: Styria
  • Postal Code: 8010
  • Street: Halbärthgasse 8
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