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jobs [2022/05/02 08:49] – [Theses and Student Jobs] kordingjobs [2023/06/20 04:14] – dkastens
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 +~~NOTOC~~
  
 =====Open researcher positions===== =====Open researcher positions=====
  
-====Research assistants (f/m/d)==== +{{blog>:jobs?3&date&footer&firstseconly&readmore}}
-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)**+== 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%) ==
  
-- 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. 
-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. +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.
-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 www.ease-crc.org.+
  
-Successful candidates will support the expansion of the EASE central laboratory and conduct research in the following areas:+With cutting-edge laboratories and data infrastructure FAME offers attractive workplaces, diverse and responsible tasks, and a wide scope of advanced training options.
  
-**Tasks:** +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. 
-  * knowledge-based robot control systems + 
-  * machine learning methods to successfully perform and improve robot-based everyday activities +**Research tasks:** 
-  * representation of everyday activities and their implementation as knowledge bases and virtual environments + 
-  * Knowledge modelling, representation and construction of knowledge bases for everyday activities +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). 
-  * 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:** **Your ideal profile:**
-  * University degree in computer science (master's degree, university diploma) with above-average success or a comparable degree +  * PhD in Computer Science (Master, University Diploma)  
-  * Very good academic achievements in the fields of Robotics, AI, perception, programming, etc.+  * 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   * Profound knowledge in the development of complex software systems, ideally in the field of robotics
-  * Substantial Know-how on AI methods in robotic applications +  * 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 programming skills: the programming languages used include, for example: Python, C ++, LISP, Prolog 
-  * Excellent English skills, both written and spoken +  * Ability to communicate proficiently in English
-  * Independent and committed research in close cooperation with internal and external cooperation partners+
   * High level of commitment, flexibility and team spirit   * 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 +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.
-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 (<cryptmail>ai-office@cs.uni-bremen.de</cryptmail>). 
  
-Applications including a cover letter, CV, publication list, copies of degree certificates, should be submitted citing the **reference number A92/21** to:+== 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%)==
  
-Prof. Michael Beetz, PhD\\ +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. 
-Artificial Intelligence / Universität Bremen\\ +
-Am Fallturm 1\\ +
-28359 Bremen\\ +
-Germany+
  
-or by Email (including up to two PDF files; reference number A92/21) to: <cryptmail>ai-office@cs.uni- bremen.de</cryptmail>+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.
  
-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.+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===== =====Theses and Student Jobs=====
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 +<html><!--
 == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == == Physics-based grasping in VR with finger tracking(Student Job / HiWi) ==
  
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 Contact: [[team:andrei_haidu|Andrei Haidu]] Contact: [[team:andrei_haidu|Andrei Haidu]]
 +--></html>
  
  
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 +<html><!--
 == 3D Animation and Modeling (Student Job / HiWi)== == 3D Animation and Modeling (Student Job / HiWi)==
  {{ :research:kitchen_unreal.jpg?200|}}   {{ :research:kitchen_unreal.jpg?200|}} 
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 Contact: [[team:andrei_haidu|Andrei Haidu]] Contact: [[team:andrei_haidu|Andrei Haidu]]
 +--></html>
  
 +== Generating Comics about Everyday Experiences of a Robot (BA Thesis) ==
  
-== Linking saref to SOMA (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
  
-Wissensrepräsentation: Semantische Integration der saref Ontology (https://ontology.tno.nl/saref/) für smart devices in SOMA (https://ease-crc.github.io/soma/). Ziel dabei ist es, dass Roboter anhand von ein paar Beispielszenarien (z.B. Zubereitung von Popcorn/ Pizza) Fehler autonom finden können (z.B. Electricity ist aus -> deswegen wird der Herd nicht warm und Popcorn poppt nicht). +Contact: [[team:daniel_bessler|Daniel Beßler]]
- +
-Aufgaben: +
-  * Arbeit mit Wissensrepräsentation und Wissensgraphen +
-  * Wissensakquisition aus web-Quellen +
-  * Abfrage mit KnowRob (Prolog) für autonome Roboter +
- +
-Contact: [[team:michaela_kümpel|Michaela Kümpel]] +
- +
-== Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == +
- +
-In dieser Thesis soll untersucht werden, ob die Autonomie von Robotern durch Integration von Wissen zu Aufbewahrungsorten von Produkten aus dem Internet erhöht werden kann. Es gibt verschiedene websites, die Wissen dazu bereitstellen. Dieses Wissen soll von den websites abgefragt und anschließend sinnvoll ontologisiert werden. Anhand verschiedener Fragen werden die Ergebnisse evaluiert (Menge der erworbenen Informationen/ Nutzen der Information, v.a. für autonome Roboter...) +
- +
-Aufgaben: +
-  * Wissensakquise aus dem Internet +
-  * Wissensrepräsentation/ Modellierung: Ontologisierung des Wissens +
-  * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien +
-  * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens +
- +
- +
-Contact: [[team:michaela_kümpel|Michaela Kümpel]]+
  
 == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) ==
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 Contact: [[team:patrick_mania|Patrick Mania]] Contact: [[team:patrick_mania|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: [[team:michaela_kümpel|Michaela Kümpel]]
 +
 +
 +<html><!--
 == Development of Modules for Robot Perception (Student Job / HiWi) == == Development of Modules for Robot Perception (Student Job / HiWi) ==
 In our research group, we focus on the development of modern robots that can make use of the potential of game engines. One particular research direction, is the combination of computer vision with game engines. In our research group, we focus on the development of modern robots that can make use of the potential of game engines. One particular research direction, is the combination of computer vision with game engines.
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 Contact: [[team:patrick_mania|Patrick Mania]] Contact: [[team:patrick_mania|Patrick Mania]]
 +--></html>
  
 == Game Engine Developer and 3D-Modelling  (Student Job / HiWi) == == Game Engine Developer and 3D-Modelling  (Student Job / HiWi) ==
- Impressum - Datenschutz



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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