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Cluster of Excellence Science of Intelligence 

Reference number: SCIoI-B2-Integration

limited until 31.12.2025, starting not later than from 01.02.2023; applications deadline 24/11/22; salary grade E 13 TV-L 


The Humboldt-Universität zu Berlin (Faculty of Mathematics and Natural Sciences -
Department of Computer Science,) invites applications for a Postdoc position for the Cluster of Excellence “Science of Intelligence”, project: „Integration of Social Intelligence“.

What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology?

Answering these questions - in an ethically responsible way - is the central scientific objective of the new Cluster of Excellence Science of Intelligence (, where researchers from a large number of analytic and synthetic disciplines - artificial intelligence, machine learning, control, robotics, computer vision, behavioural biology, psychology, educational science, neuroscience, and philosophy - join forces to create a multi-disciplinary research program across universities and research institutes in Berlin. Interdisciplinary research projects have been defined (, which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence.

Job description/postdoctoral project: SCIoI-B2-Integration

The experimental postdoctoral researcher should provide scientific services in research within the excellence cluster “Science of Intelligence”, in the integration project B2 “Social Intelligence”. Integration/implementation of various behavioral components and principles of learning and teaching in social interaction with the aim of realizing a synthetic example of social intelligence in the form of a learner-teacher scenario with humanoid robots (Pepper and Nao). 

Responsibilities include scientific research within the project and academic services in the Cluster. The postdoc positions requires participation in research colloquia, lecture series and workshops, as well as an active engagement in the Cluster's research activities and close collaboration with other projects working on social intelligence.



-      Doctoral degree (PhD) in computer science, robotics or related fields:

-      experience with humanoid robotics, preferably with Pepper or Nao robots

-      very good programming skills in C/C++, Python, ROS, and machine learning

-      scientific track record

-      strong interest in interdisciplinary research

-      ability to work independently in interdisciplinary teams

-      very good scientific writing and presentation skills

-      very good command of English (spoken and written)


Application procedure (closing date for applications 24.11.2022):


Candidates should upload their application preferably via the portal in order to receive full consideration.

For more information about the project please contact Prof. Verena Hafner (


Applications (in one combined PDF) should include: a max. 1 page cover letter, a max. 2 page motivation letter, curriculum vitae, list of publications and one selected manuscript, copies of degree certificates (MSc, PhD), two names of qualified persons who are willing to provide references, and any documents candidates feel may help us assess their competence.


A written application with the reference number SCIoI-B2-Integration and the above-mentioned documents could be sent to Technische Universität Berlin - Der Präsident - Cluster SCIoI, Sekr. SCIoI, Marchstr. 23, 10587 Berlin.


The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.


Click here for the legally binding German version.