Research Assistant position, Project: 'Rational selection of exploration strategies in robot learning'

(Faculty IV - Excellence Cluster Science of Intelligence, salary grade E13 TV-L, under the reserve that funds are granted, starting at the earliest possible, limited until 30/09/2023, closing date for applications 24/11/20, Ref. SCIoI-688/20)

The Technische Universität Berlin invites applications for a position for 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 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, 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

“Rational selection of exploration strategies in robot learning”

Intelligent robotic agents operating in unknown environments must be able to acquire information about the world from their own interactions. In this project, we will investigate exploration strategies for knowledge acquisition and problem solving in nonstationary environments. We will study the relationship between problem and exploration strategy to devise meta-exploration, capable of rationally selecting exploration strategies in response to information obtained from the environment.

We collaborate with cognitive scientists to leverage insights and models from meta-cognition in humans. The successful candidate will leverage real-world robotic systems, simulations, and advanced machine learning techniques to develop autonomous robotic systems.



  • MS degree in computer science or similar field; PhD desired
  • Research experience in robotics
  • Research experience in (deep) machine learning, computer vision, and/or control desired
  • Basic knowledge in cognitive science and psychology is a plus
  • Interest in interdisciplinary research in the context of the Cluster of Excellence “Science of Intelligence”
  • Excellent software engineering and programming skills in C++ and Python
  • Excellent English writing and communication skills; good German language skills or the willingness to learn them

Application procedure

Candidates should upload their application preferably via the portal in order to receive full consideration.
Applications should include: motivation letter, curriculum vitae, transcripts of records (for both BSc and MSc), copies of degree certificates (BSc, MSc, PhD if applicable), abstracts of Bachelor-, Master- and (if applicable) 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.
By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at TU website quick access 214041.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Technische Universität Berlin – Der Präsident – Cluster SCIoI, Sekr. SCIoI, Marchstr. 23, 10587 Berlin.

The vacancy is also available on the internet at