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jobs [2023/06/19 13:42] – [Open researcher positions] dziomba | jobs [2023/08/01 12:05] – [Theses and Student Jobs] hoanggia | ||
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=====Open researcher positions===== | =====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)“ | + | {{blog>:jobs? |
- | 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:** | + | < |
+ | <div style=" | ||
+ | </ | ||
- | As a PhD with appropriate, | ||
- | **Your ideal profile:** | ||
- | * PhD in Computer Science (Master, University Diploma) | ||
- | * Outstanding academic achievements e.g. in the field of robotics, AI, perception, programming, | ||
- | * 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 | ||
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- | Please find the complete job description under the [[https:// | ||
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- | == 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. | ||
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- | **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 " | ||
- | * 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, | ||
- | * 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 [[https:// | ||
=====Theses and Student Jobs===== | =====Theses and Student Jobs===== | ||
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Contact: [[team: | Contact: [[team: | ||
--></ | --></ | ||
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+ | == Scene Format Conversion Tool for Robotics Simulation (MA Thesis) == | ||
+ | |||
+ | **Motivation: | ||
+ | |||
+ | With robotics playing a significant role in various domains, simulation is essential for developing and testing algorithms. Multiple simulators are available, each with its own specialized format (SDF, USD, MJCF, URDF, FBX) for describing scenes. This diversity of formats makes it challenging to transfer scenarios between simulators. Therefore, a versatile parser that can convert scene descriptions between these formats is highly valuable. | ||
+ | |||
+ | {{: | ||
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+ | **Task Description: | ||
+ | |||
+ | The objective of this project is to develop a universal parser capable of converting scene descriptions between common formats. The following key steps are involved: | ||
+ | |||
+ | - Create a model to represent and store the scene graph. | ||
+ | - Implement import functions for the model to handle scene descriptions in any of the supported formats. | ||
+ | - Implement export functions for the model to generate scene descriptions in any of the supported formats. | ||
+ | |||
+ | **Requirements: | ||
+ | |||
+ | * A strong passion for robotics. | ||
+ | * Dedication to the chosen topic. | ||
+ | * Eager to learn. | ||
+ | |||
+ | Contact: [[team: | ||
== Generating Comics about Everyday Experiences of a Robot (BA Thesis) == | == Generating Comics about Everyday Experiences of a Robot (BA Thesis) == |
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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