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Humboldt-Universität zu Berlin | Universitätsverwaltung | Abteilung Haushalt und Personal | Personalangelegenheiten | Stellenausschreibungen | Postdoctoral research fellow (m/f/d) with expected full-time employment - E 13 TV-L HU (third party funding, limited until 31.12.2025, starting not later than from 01.05.2024)

Postdoctoral research fellow (m/f/d) with expected full-time employment - E 13 TV-L HU (third party funding, limited until 31.12.2025, starting not later than from 01.05.2024)

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Cluster of Excellence Science of Intelligence

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The Humboldt-Universität zu Berlin, Faculty of Life Sciences, Albrecht Daniel Thaer-Institut of Agricultural and Horticultural Sciences (Prof. Krause/Dr. Wolf), invites applications for a postdoctoral research assistant position at the Cluster of Excellence “Science of 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 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, behavioral 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.



  • scientific services in research within the Cluster Science of Intelligence:

Developing maze-explorations algorithms with the goals to employ the empirical data generated from genetically identical fish

(i) to systematically investigate the explanatory and predictive power of the most important maze-exploration algorithms developed in the robotics literature,

(ii) to develop a new set of bio-inspired algorithmic models of maze-exploration behaviour



  • university degree and a PhD degree in Biology, Cognitive Science, Computer Science or related fields
  • strong quantitative skills and a firm background in several of the following topics:
  • laboratory experiments with fish
  • analysis of high-resolution tracking-data
  • machine learning
  • agent-based computer simulations
  • excellent English skills both written and spoken are required


Bewerbung an

Candidates should upload their application preferably via the portal with the reference number SCIoI-58/2 in order to receive full consideration. For more information please see

Applications should include: motivation letter, curriculum vitae, transcripts of records (for both Bachelor and Master), copies of degree certificates (Bachelor, Master, PhD), proof of English skills, abstracts of Bachelor-, Master- and PhD-thesis, list of publications and one selected manuscript (if applicable), 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-58/2 and the above-mentioned documents could be sent to Technische Universität Berlin - Der Präsident – Fakultät IV, 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 history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

Data protection information on the processing of your personal data in the context of the tender and selection procedure can be found on the homepage of Humboldt-Universität zu Berlin:

Please visit the website, which gives you access to the legally binding German version.