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Open researcher positions

PostDoc (f/m/d) in in the ERC Advanced Grant project FAME: Open-Ended Manipulation Task Learning with FAME (Future-oriented cognitive Action Modelling Engine)“ (salary scale TV-L 14 - 100%)

With our new project FAME, we aim to lay the groundwork for robots that achieve the competence level of humans in the area of everyday manipulation tasks. In pursuit of this goals, FAME will investigate the hypothesis that a knowledge representation and reasoning (KR&R) framework based on explicitly represented and machine-interpretable inner-world models can enable robots to contextualize underdetermined manipulation task requests. With cutting-edge laboratories and data infrastructure FAME offers attractive workplaces, diverse and responsible tasks, and a wide scope of advanced training options. We offer two PostDoc positions (salary scale TV-L 14 - 100%) at the next possible date for the period of three years with the possibility of a two-year extension.

Research tasks:

As a PhD with appropriate, proven prior experience, you will take the lead in the integration and evaluation research areas in the FAME project and coordinate the research tasks of the doctoral team (see research tasks in the job offer below).

Your ideal profile:

  • PhD in Computer Science (Master, University Diploma)
  • Outstanding academic achievements e.g. in the field 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: the programming languages used include, for example: Python, C ++, LISP, Prolog
  • Ability to communicate proficiently in English
  • High level of commitment, flexibility and team spirit

Please find the complete job description under the job postings of the University of Bremen and contact us with any questions: ai-office(at)cs[dot]uni-bremen[dot]de.

PhD candidate (f/m/d) in the ERC Advanced Grant project FAME: Open-Ended Manipulation Task Learning with FAME (Future-oriented cognitive Action Modelling Engine) (salary scale TV-L 13 - 100%)

With our new project FAME, we aim to lay the groundwork for robots that achieve the competence level of humans in the area of everyday manipulation tasks.

In pursuit of this goals, FAME will investigate the hypothesis that a knowledge representation and reasoning (KR&R) framework based on explicitly represented and machine-interpretable inner-world models can enable robots to contextualize underdetermined manipulation task requests.

With cutting-edge laboratories and data infrastructure FAME offers attractive workplaces, diverse and responsible tasks, and a wide scope of advanced training options.

We offer three research positions for scientific qualification with the aim of obtaining a doctoral degree (salary scale TV-L 13 - 100%) at the next possible date for the period of three years.

Research tasks:

  • Interpretation and analysis of instructional videos on manipulation tasks (e.g. Wikihow videos)
  • Modular and transparent robot plans for simple meal preparation tasks
  • Learning and representation of, or reasoning with “intuitive theories”, for simple tasks in the kitchen
  • Simulation of cooking processes and derivation of generalized probabilistic models
  • Automated programming of robot plans for the acquisition of manipulation skills
  • Integration of existing information systems with modern knowledge processing technologies
  • Human-machine interaction techniques for knowledge services based on modern entertainment software technologies
  • Design and implementation of knowledge services of the Knowledge4Retail platform

Your ideal profile:

  • University degree in Computer Science (Master, Diploma) or a comparable degree
  • Outstanding academic achievements e.g. in the field 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: the programming languages used include, for example: Python, C ++, LISP, Prolog
  • Ability to communicate proficiently in English
  • High level of commitment, flexibility and team spirit

Please find the complete job description under the job postings of the University of Bremen and contact us with any questions: ai-office(at)cs[dot]uni-bremen[dot]de.

Theses and Student Jobs

If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page.

Generating Comics about Everyday Experiences of a Robot (BA Thesis)

Summary:

  • Query experience data from an existing database
  • Retrieve situations of interest
  • Recreate the scene in a 3D environment
  • Apply a comic shader
  • Find good camera position for moments of interest
  • Generate a PDF summarizing the experiences as a comic strip

Contact: Daniel Beßler

Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis)

In this thesis, the goal is to make a robotic system learn new objects automatically. The system should be able to generate the necessary models required for re-detecting it again and also consult online information sources to automatically acquire knowledge about it.

The focus of the thesis would be two-fold:

  • Develop methods to automatically infer the object class of new objects. This would include perceiving it with state of the art sensors, constructing a 3d model of it and then infer the object class from online information sources.
  • In the second step the system should also infer factual knowledge about the object from the internet and assert it into a robotic knowledgebase. Such knowledge could for example include the category of this product, typical object properties like its weight or typical location and much more.

Requirements:

  • Knowledge about sensor data processing
  • Interest in model construction from sensory data
  • Work with KnowRob knowledge processing framework

Contact: Patrick Mania

Integration von Nährwertangaben für Rezepte in bestehende Website (BA Thesis)

In dieser Arbeit soll eine bestehende Website mit Nährwertangaben und Zusatzfunktionalität zu Produkten um eine Nährwertangabe zu Rezepten erweitert werden. Es handelt sich um folgende website: productkg.informatik.uni-bremen.de

Die Aufgaben dazu sind:

  • Vergleich von bestehenden Lösungen.
  • Erweiterung einer Ontologie um Nährwertangaben.
  • Erweiterung der Website.

Contact: Michaela Kümpel

Game Engine Developer and 3D-Modelling (Student Job / HiWi)

A recent development in the field of AI is the usage of photorealistic simulations, for example to create Digital Twins of environments like households or factories. In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires a high degree of specialized game engine plugins that can simulate certain aspects of our research. Another important task is the creation of 3d models.

Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks:

  • Modelling of objects for the use in Unreal Engine 4.
  • Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects.

Requirements:

  • Knowledge of 3D-Modelling tools. Blender would be highly preferred.
  • Experience in Game Engine development. Ideally Unreal Engine 4 and C++.

The spoken language in this job is german or english, based on your preference.

Contact: Patrick Mania





Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

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