You are here:: » Home » Open researcher positions

Differences

This shows you the differences between two versions of the page.

--- jobs [2023/06/19 13:42] – [Open researcher positions] dziomba
+++ jobs [2023/09/14 09:57] – [Theses and Student Jobs] cstoess
@@ Line 1: / Line 1: @@
+~~NOTOC~~
 =====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%) ==
+{{blog>:jobs?3&date&footer&firstseconly&readmore}}
-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:**
+<html>
+<div style="width:100%;border-bottom:10px solid #DCDFE3;margin-bottom:80px;"></div>
+</html>
-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 [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/2545?cHash=10a1b81aaf4d8bd1b434d1380746c64d|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 [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/2543?cHash=148779730d5c41eb546a7bfed0c40ce3|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.
+If you are looking for a bachelor's/master's thesis or a job as a student research assistant, you may find some interesting opportunities on this page.
@@ Line 127: / Line 81: @@
 Contact: [[team:andrei_haidu|Andrei Haidu]]
 --></html>
+== 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.
+{{:multiformat.png?400|}}
+**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:hoang_giang_nguyen|Giang Nguyen]]
 == Generating Comics about Everyday Experiences of a Robot (BA Thesis) ==
@@ Line 145: / Line 123: @@
 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:
+The focus of the thesis would be twofold:
   * 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.
@@ Line 158: / Line 136: @@
 Contact: [[team:patrick_mania|Patrick Mania]]
-== Integration von Nährwertangaben für Rezepte in bestehende Website (BA Thesis) ==
+== Übersetzung einer globalen Produktklassifikation in eine bestehende Ontologie (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
+In dieser Arbeit soll die GS1 Produktklassifikation in eine Ontologie transformiert werden. Der GS1 Produktklassifikationsstandard ist online ( https://gpc-browser.gs1.org/) einsehbar. Anschließend soll in einem Jupyter Notebook anhand eines Beispiels gezeigt werden, wie andere Ontologien mit der erstellten Taxonomie verbunden werden können.
 Die Aufgaben dazu sind:
-  * Vergleich von bestehenden Lösungen.
+  * Einarbeitung in Web Scraping und Abfrage der Daten von GS1
-  * Erweiterung einer Ontologie um Nährwertangaben.
+  * Einarbeitung in Owlready und Erstellen der Taxonomie
-  * Erweiterung der Website.
+  * Erstellung des Jupyter Notebooks mit einem Beispiel, wie andere Ontologien verbunden werden können (die Beispielontologie wird gestellt)
@@ Line 185: / Line 163: @@
 Contact: [[team:patrick_mania|Patrick Mania]]
 --></html>
+== Development of Modules for Robot Perception (Student Job / HiWi) ==
+In our research group, we focus on the development of intelligent robots that are combining modern computer vision methods with knowledge representation.
+We are currently offering multiple Hiwi positions / student jobs for software development in the context of our Robot Perception framework [[http://robokudo.ai.uni-bremen.de/|RoboKudo]], which contains many algorithms for computer vision problems (mainly Python)
+Requirements:
+  * Solid experience in python and object-oriented programming
+  * Basic understanding of the ROS middleware and Linux
+  * Basic understanding of computer vision methods
+The spoken language in this job is german or english, based on your preference. Work can be done fully remote.
+Contact: [[team:patrick_mania|Patrick Mania]]
+--
 == Game Engine Developer and 3D-Modelling  (Student Job / HiWi) ==

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

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

Discover our VRB for innovative and interactive research

Memberships and associations:

Social Media: