Message posted on 16/01/2019

Call for applications - Science of Intelligence Berlin - Cluster of Excellence

                *Early notice*
<br>
<br>Call for applications for two Postdoc positions in the field of 
<br>sociology and philosophy of science and technology as part of the 
<br>Science of Intelligence Berlin - Cluster of Excellence
<br>
<br>Postdoctoral Project: A comparative analysis of research prototypes as 
<br>epistemic objects in intelligence research
<br>https://www.scienceofintelligence.de/call-for-applications/open-positions/postdoctoral-project-a-comparative-analysis-of-research-prototypes-as-epistemic-objects-in-intelligence-research/
<br>
<br>Postdoctoral Project: Ethics of responsible design in robotics and AI
<br>https://www.scienceofintelligence.de/call-for-applications/open-positions/project-ethics-of-responsible-design-in-robotics-and-ai/
<br>
<br>The Science of Intelligence Berlin - Cluster of Excellence announces the 
<br>call for application for 11 PhD and 12 Postdoc positions dedicated to 
<br>the cross-disciplinary research in artificial intelligence, machine 
<br>learning, control, robotics, computer vision, behavioral biology, 
<br>cognitive science, psychology, educational science, neuroscience, and 
<br>philosophy.
<br>
<br>Starting dates: Summer / Fall 2019
<br>Duration: 3 years
<br>Salary level: TV-L 13, 100%
<br>
<br>What are the principles of intelligence, shared by all forms of 
<br>intelligence, no matter whether artificial or biological, whether robot, 
<br>computer program, human, or animal? And how can we apply these 
<br>principles to create intelligent technology? Answering these questions - 
<br>in an ethically responsible way - is the central scientific objective of 
<br>the new Cluster of Excellence Science of Intelligence (www.scioi.de).
<br>
<br>Researchers from a large number of analytic and synthetic disciplines - 
<br>artificial intelligence, machine learning, control, robotics, computer 
<br>vision, behavioral biology, cognitive science, psychology, educational 
<br>science, neuroscience, and philosophy - join forces to create a 
<br>multi-disciplinary research program across universities and research 
<br>institutes in Berlin. Our approach is driven by the insight, that any 
<br>method, concept, and theory must demonstrate its merits by contributing 
<br>to the intelligent behavior of a synthetic artifact, such as a robot or 
<br>a computer program. These artifacts represent the shared “language” 
<br>across disciplines, enabling the validation, combination, transfer, and 
<br>extension of research results. Thus we expect to attain cohesion among 
<br>disciplines, which currently produce their own theories and empirical 
<br>findings about aspects of intelligence.
<br>
<br>Interdisciplinary research projects have been defined which combine 
<br>analytic and synthetic research and which address key aspects of 
<br>individual, social, and collective intelligence. In addition the Science 
<br>of Intelligence graduate program promotes the cross-disciplinary 
<br>education of young scientists on a Master, PhD, and postdoctoral level. 
<br>All PhD students associated with the cluster are expected to join the 
<br>Science of Intelligence doctoral program 
<br>(www.scioi.de/education/doctoral-program).
<br>
<br>The cluster welcomes applications from all disciplines that contribute 
<br>to intelligence research. Applications shall be uploaded through the 
<br>application portal 
<br>(www.scioi.de/call-for-applications/application-process), where details 
<br>of the individual research projects 
<br>(www.scioi.de/call-for-applications/open-positions) are also available. 
<br>Please submit your applications by 15 February 2019 in order to receive 
<br>full consideration. Applicants wishing to apply for several projects 
<br>need to upload separate applications for each project.
<br>
<br>
<br>
<br>
<br>-- 
<br>Prof. Dr. Ingo Schulz-Schaeffer
<br>Geschäftsführender Direktor des Instituts für Soziologie
<br>Fachgebiet Technik- und Innovationssoziologie
<br>Institut für Soziologie, Technische Universität Berlin
<br>Fraunhoferstr. 33-36, Sekr. FH 9-1, 10587 Berlin
<br>Tel: 030 314-22396, Sekr.: -78547
<br>http://www.ts.tu-berlin.de/v_menue/mitarbeiter/prof_dr_ingo_schulz_schaeffer/
<br>
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