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 01.06.2024)

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Kennziffer
SCIoI-Project 59A-Brass
Kategorie(n)
Wissenschaftliches Personal
Anzahl der Stellen
1
Einsatzort

Cluster of Excellence Science of Intelligence

Bewerbung bis
28.12.23
Text

The Humboldt-Universität zu Berlin, Faculty of Life Sciences, Department of Psychology/Berlin School of Mind and Brain, Prof. Marcel Brass, 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 (https://www.scioi.de), 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 (https://www.scienceofintelligence.de/research/projects), which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence.

 

Tasks:

  • scientific services in research project of the Cluster Science of Intelligence related to ‘Observational learning in developing human & artificial agents’ with the following tasks:
    • (i) programming, data collection, analysis, and modeling of experiments in virtual reality for observational learning in children and adults
    • (ii) presentation of the results in scientific publications and at international conferences

 

Requirements:

  • completed academic studies and a Ph.D. in cognitive neuroscience, psychology, computer science, biology, or a related field
  • experience in handling experimental data
  • experience with computational modeling
  • strong programming skills (e.g., Python, C/C++, Julia, or similar)
  • publication experience in international peer-reviewed journals
  • excellent English language skills
  • experience in VR programming and developmental experimental studies is advantageous
Bewerbung an

Candidates should upload their application preferably via the portal www.scioi.de/call-for-applications/open-positions/ with the reference number in order to receive full consideration. For more information please see www.scienceofintelligence.de/call-for-applications/application-process/.

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 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: https://hu.berlin/DSGVO.

Please visit the website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.