Open job positions @ EASE

We are currently hiring!

Research assistants (f/m/d)

At the University of Bremen, the Institute for Artificial Intelligence (Prof. Michael Beetz) – part of the department Mathematics and Computer Science FB3 – calls for applications in the area of Artificial Intelligence and Robotics – under the condition of job release – for several positions in the DFG funded Collaborative Research Center 1320 “Everyday Activity Science and Engineering (EASE):

Research assistants (f/m/d)

– Salary scale TV-L – 13 (100 %) for the period to June 30, 2025.

The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, § 2 (1) WissZeit VG (Wissenschaftszeitvertragsgesetz, i.e. temporary science employment act). Therefore, candidates may only be considered for appointment if they still have the respective qualification periods available in accordance with § 2 (1) WissZeitVG.

EASE pursues an interdisciplinary approach to the principles of human information processing in basic research. Starting from the analysis of underlying problem structures and solution strategies, the development of information-processing models is intended to enable autonomous robots to fully master everyday activities. EASE stands for open research, open data and knowledge exchange. For more information see

Successful candidates will support the expansion of the EASE central laboratory and conduct research in the following areas:


  • knowledge-based robot control systems
  • machine learning methods to successfully perform and improve robot-based everyday activities
  • representation of everyday activities and their implementation as knowledge bases and virtual environments
  • Knowledge modelling, representation and construction of knowledge bases for everyday activities
  • cognitive architectures for robotic agents
  • Integration of camera-based perception into simulation and rendering methods for everyday activities in household environments
  • web-based experimental environments based on semantic digital twins
  • scalable cloud-based knowledge representation and knowledge processing system based on KnowRob
  • definitions of ontologies for everyday activities

Your ideal profile:

  • University degree in computer science (master’s degree, university diploma) with above-average success or a comparable degree  
  • Very good academic achievements in the fields of Robotics, AI, perception, programming, etc.
  • Profound knowledge in the development of complex software systems, ideally in the field of robotics
  • Substantial Know-how on AI methods in robotic applications
  • Excellent programming skills in the field of AI and/or robotics. The programming languages include, for example: Python, C++, LISP, Prolog
  • Excellent English skills, both written and spoken
  • Independent and committed research in close cooperation with internal and external cooperation partners
  • High level of commitment, flexibility and team spirit

If you think that your knowledge and skills match part of the task areas, we are looking forward to your application.

We offer a team-oriented, attractive and future-oriented research environment in an interdisciplinary team with renowned national and international partners and ideal conditions for further scientific qualification.

General remarks: The University is committed to a policy of providing equal employment opportunities for both men and women alike, and therefore strongly encourages women to apply for the positions offered. Applicants with disabilities will be considered preferentially in case of equal qualifications and aptitudes. The University of Bremen explicitly invites individuals with migration backgrounds to apply.

If you have any questions regarding the positions, please contact Prof. Michael Beetz, PhD (

Applications including a cover letter, CV, publication list, copies of degree certificates, should be submitted citing the reference number A92/21 to: Prof. Michael Beetz, PhD
Artificial Intelligence / Universität Bremen Am Fallturm 1
28359 Bremen

or by Email (including up to two PDF files; reference number A92/21) to: ai-office@cs.uni-

The costs of application and presentation cannot be reimbursed. We kindly ask you to submit only copies (no folders) of your application documents, as these will be destroyed after the selection process has been completed.

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