- Full Time
- Berlin, Germany
- Without Professional Experience
- 2/22/24
- completed academic degree and doctoral degree (PhD) (desired) in computer science, robotics, machine learning or a related field and a proven background in:
- Cognitive or developmental robotics
- Computational modeling and ML
- strong programming skills (preferably in Python)
- experience with VR-programming (Unity) are additional assets
- Scientific track record
- strong interest in interdisciplinary research and to work in an interdisciplinary team
- excellent English language skills
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Postdoctoral Researcher- Observational learning in children and artificial agents - Berlin, Deutschland - Science of Intelligence
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Postdoctoral Researcher- Observational learning in children and artificial agents at Science of Intelligence | softgarden
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Postdoctoral Researcher- Observational learning in children and artificial agents
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Reference Number: SClol-C6-59B
The Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Computer Science, invites applications for a postdoctoral research 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.
Working field
Project: Observational learning in children and artificial agents (P59)
Project Leads: Marcel Brass (lead PI), Verena Hafner, Julia M. Rodriguez Buritica
Description of the proposed project:
In the current research project we will investigate observational learning in children and artificial agents. We will first create a foraging scenario in virtual reality (VR) that can be used for experimental studies with human and artificial agents. Then we use VR to investigate how observed motor behavior, actions and outcomes of others are integrated in children and formalize them in computational models. After that, we will implement these formalized dynamics of observational learning into artificial agents to investigate observational learning in human and artificial agents. And apply this knowledge to more complex learning environments (by including a-priory observed characteristics of others such as their trustworthiness) in the future.
Description of individual project:
The researcher will program a VR setup that can be interfaced with humans and artificial agents, develop computational models for learning artificial agents, integrate findings from human experiments and perform experiments with artificial agents under varying conditions.
Requirements:
The successful applicant should have:
Application procedure: (due date: :
Candidates should upload their application preferably via the portal with the reference number SCIoI-C6-59B-Hafner in order to receive full consideration. For more information please see
Alternatively, applications can be sent in a single pdf file to Prof. Verena Hafner (she/her) ) with reference number SCIoI-C6-59B-Hafner.
Applications should include motivation letter, curriculum vitae, copies of degree certificates (Master, PhD), list of publications and one selected manuscript, two names of qualified persons who are willing to provide references.
A written application with the reference number SCIoI-C6-59B-Hafner and the above-mentioned documents could be sent to Technische Universität Berlin – Der Präsident – Fakultät IV, Cluster SCIoI, Sekr. SCIoI, Marchstr. 23, 10587 Berlin.
HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Researchers from abroad are welcome 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.
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framework of the advertisement and selection procedure can be found on our Website:
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