Assistenzprofessur (Tenure Track) für Computer Science - Responsible Artificial Intelligence* (Departement Informatik)
ETH Zürich
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Assistenzprofessur (Tenure Track) für Computer Science – Responsible Artificial Intelligence*
The Department of Computer Science (www.inf.ethz.ch) at ETH Zurich invites applications for an assistant professorship
(tenure track) in computer science with focus on Responsible AI. The professorship will address pressing technical
challenges posed by the widespread integration of machine learning and AI systems into society, and have a bridging
role between technical AI research and the social sciences or humanities. It will delve into the intended and
unintended societal consequences of AI systems and shape their development to align with ethical and legal standards
and enhance human welfare.
Applicants should be strongly rooted in computer science, have internationally recognized expertise in their field,
and pursue research at the forefront of computer science. Successful candidates should establish and lead a strong
research program. Research areas of interest include, but are not limited to, theoretical and practical aspects of
reliable and trustworthy AI systems; principles of human-AI and multi-agent interaction; steerability, alignment and
safety of AI systems; interpretability of neural networks and other machine learning models; plausibility,
verification, and accountability of generative AI; assessing and ensuring compliance of AI with policy and law; bias,
fairness and privacy in machine learning; next-generation responsible AI systems, e.g., through enhanced reasoning
capabilities. The new professor will be expected to supervise doctoral students and teach both undergraduate and
graduate level courses (in German or in English). Collaboration in research and teaching is expected both within the
department and with other groups of ETH Zurich and related institutions.
Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a
tenure track system equivalent to that of other top international universities.
ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of
dual-career couples.
Please apply online.
Applications should include a curriculum vitae, a list of publications with the three most important ones marked, a
statement of future research and teaching interests, a description of the leadership philosophy, a description of the
three most important achievements**, the names of three references, and a certificate of the highest degree. The letter
of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The review of applications
will begin in December 2024. We recommend submitting your application no later than 30 November 2024; however, the
position will remain open until filled.
*Die Berufungskommission hat ihre Tätigkeit bereits aufgenommen, Bewerbungen können grundsätzlich nachgereicht werden.
**Die ETH Zürich legt Wert auf eine qualitative Bewertung akademischer Leistungen. In diesem Sinne sind Sie gebeten,
eine kurze Beschreibung Ihrer drei wichtigsten Errungenschaften den Unterlagen beizufügen (maximal je eine halbe
Seite). Dies können neben Forschungsergebnissen auch besondere Leistungen in der Lehre und deren Weiterentwicklung,
Dienstleistungen zugunsten der akademischen Gemeinschaft oder der Gesellschaft, Softwareentwicklungen, Patente,
Wissens- und Praxistransfer, Spin-offs und dergleichen sein.
Bitte beachten Sie: Alle Unterlagen sind in Englisch einzureichen.
The Department of Computer Science (www.inf.ethz.ch) at ETH Zurich invites applications for an assistant professorship
(tenure track) in computer science with focus on Responsible AI. The professorship will address pressing technical
challenges posed by the widespread integration of machine learning and AI systems into society, and have a bridging
role between technical AI research and the social sciences or humanities. It will delve into the intended and
unintended societal consequences of AI systems and shape their development to align with ethical and legal standards
and enhance human welfare.
Applicants should be strongly rooted in computer science, have internationally recognized expertise in their field,
and pursue research at the forefront of computer science. Successful candidates should establish and lead a strong
research program. Research areas of interest include, but are not limited to, theoretical and practical aspects of
reliable and trustworthy AI systems; principles of human-AI and multi-agent interaction; steerability, alignment and
safety of AI systems; interpretability of neural networks and other machine learning models; plausibility,
verification, and accountability of generative AI; assessing and ensuring compliance of AI with policy and law; bias,
fairness and privacy in machine learning; next-generation responsible AI systems, e.g., through enhanced reasoning
capabilities. The new professor will be expected to supervise doctoral students and teach both undergraduate and
graduate level courses (in German or in English). Collaboration in research and teaching is expected both within the
department and with other groups of ETH Zurich and related institutions.
Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a
tenure track system equivalent to that of other top international universities.
ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of
dual-career couples.
Please apply online.
Applications should include a curriculum vitae, a list of publications with the three most important ones marked, a
statement of future research and teaching interests, a description of the leadership philosophy, a description of the
three most important achievements**, the names of three references, and a certificate of the highest degree. The letter
of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The review of applications
will begin in December 2024. We recommend submitting your application no later than 30 November 2024; however, the
position will remain open until filled.
*Die Berufungskommission hat ihre Tätigkeit bereits aufgenommen, Bewerbungen können grundsätzlich nachgereicht werden.
**Die ETH Zürich legt Wert auf eine qualitative Bewertung akademischer Leistungen. In diesem Sinne sind Sie gebeten,
eine kurze Beschreibung Ihrer drei wichtigsten Errungenschaften den Unterlagen beizufügen (maximal je eine halbe
Seite). Dies können neben Forschungsergebnissen auch besondere Leistungen in der Lehre und deren Weiterentwicklung,
Dienstleistungen zugunsten der akademischen Gemeinschaft oder der Gesellschaft, Softwareentwicklungen, Patente,
Wissens- und Praxistransfer, Spin-offs und dergleichen sein.
Bitte beachten Sie: Alle Unterlagen sind in Englisch einzureichen.