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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | ====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): | ||
- | == HiWi-Position: | + | **Research assistants (f/m/d)** |
- | When dealing with real-world robot tasks, simulation that is close to reality is key to test behavior-driven, smart robot plans before they are deployed on an actual physical system. In this HiWi job, I am looking for a competent student | + | - Salary scale TV-L – 13 (100 %)\\ |
+ | for the period to June 30, 2025. | ||
- | Requirements: | + | The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, § 2 (1) WissZeit VG (Wissenschaftszeitvertragsgesetz, |
- | * Experience | + | EASE pursues an interdisciplinary approach to the principles of human information processing |
- | * Passion for Robotics | + | |
- | * Ideally programming skills | + | |
- | Contact: [[team: | + | Successful candidates will support the expansion of the EASE central laboratory and conduct research in the following areas: |
+ | **Tasks:** | ||
+ | * 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 | ||
- | == GPU-based Parallelization | + | **Your ideal profile: |
+ | * University degree in computer science (master' | ||
+ | * Very good academic achievements in the fields | ||
+ | * 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 | ||
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models grow larger, traditional implementations on single-core CPUs suffer from sequential execution causing | + | 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 | ||
- | Requirements: | + | **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 |
- | | + | |
- | Contact: [[team: | + | If you have any questions regarding the positions, please contact Prof. Michael Beetz, PhD (< |
- | == Online Learning | + | Applications including a cover letter, CV, publication list, copies |
- | Markov Logic Networks (MLNs) combine the expressive power of first-order logic and probabilistic graphical models. In the past, they have been successfully applied to the problem of semantically interpreting and completing natural-language instructions from the web. State-of-the-art learning techniques mostly operate in batch mode, i.e. all training instances need to be known in the beginning of the learning process. In context of this thesis, online learning methods for MLNs are to be investigated, | + | Prof. Michael Beetz, PhD\\ |
+ | Artificial Intelligence / Universität Bremen\\ | ||
+ | Am Fallturm 1\\ | ||
+ | 28359 Bremen\\ | ||
+ | Germany | ||
- | Requirements: | + | or by Email (including up to two PDF files; reference number A92/21) to: < |
- | * Experience in Machine Learning. | + | |
- | * Experience with statistical relational learning | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | ||
+ | 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. | ||
- | ==HiWi-Position: | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | =====Theses and Student Jobs===== |
- | are investigating methods | + | If you are looking |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | ||
- | development and the integration of probabilistic methods in AI, which enable intelligent robots to understand, interpret and execute natural-language instructions from recipes from the World Wide Web. | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | < |
+ | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == | ||
- | Tasks: | + | Implementing physics-based grasping models in virtual environments, |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | using Manus VR. |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | + | * Good C++ programming skills |
- | * Basic skills in Artificial Intelligence | + | * Familiar with skeletal animations |
- | * Optional: basic skills in Probability Theory | + | * Experience with simulators/ |
- | * Optional: basic skills in Machine Learning | + | * Familiar with Unreal Engine API |
- | * Good programming skills in Python and Java | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
- | Hours: 10-20 h/week | + | Contact: [[team: |
+ | --></html> | ||
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | < |
- | [2] http:// | + | == Lisp / CRAM support assistant (HiWi) == |
+ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Requirements: |
- | {{ : | + | * Good programming skills |
+ | * Basic ROS knowledge | ||
- | Developing new activities and improving | + | The student will be introduced to the CRAM framework |
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | --></html> |
- | * Basic physics/ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | < |
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | | ||
- | == Integrating Eye Tracking | + | |
- | {{ : | + | |
- | + | ||
- | Integrating the eye tracker in the [[http:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Gazebo simulator basic tutorials | + | * Familiar with Blender / Maya (or other) |
+ | |||
+ | Contact: [[team/ | ||
+ | --></ | ||
- | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | < |
- | {{ :research:leap_motion.jpg? | + | == 3D Animation and Modeling |
+ | {{ :research:kitchen_unreal.jpg? | ||
- | Improving the skeletal | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models in Blender | ||
+ | models against Unreal Engine. | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Bonus: Working with state of the art 3D Scanners [[https:// |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Fluid Simulation in Gazebo | + | == Linking saref to SOMA (BA Thesis) == |
- | {{ : | + | |
- | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines | + | Wissensrepräsentation: |
- | Currently there is an [[http:// | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Contact: [[team: |
- | and should be implemented (PCISPH/ | + | |
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen |
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine [[http:// | + | 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, |
- | Here is a [[https://vimeo.com/ | + | Aufgaben: |
+ | * Wissensakquise aus dem Internet | ||
+ | * Wissensrepräsentation/ Modellierung: | ||
+ | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
+ | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Interest in Fluid simulation | ||
- | * Basic physics/ | ||
- | * Gazebo simulator and Fluidix basic tutorials | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
+ | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == | ||
- | == Automated sensor calibration toolkit (BA/MA)== | + | 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. | ||
- | Computer vision is an important part of autonomous robots. For robots | + | 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 | ||
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | | + | Requirements: |
- | The system should: | + | * Knowledge about sensor data processing |
- | * be independent of the camera type | + | * Interest in model construction |
- | * estimate intrinsic and extrinsic parameters | + | * Work with KnowRob knowledge processing framework |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities | + | |
- | * operate autonomously | + | |
- | Requirements: | ||
- | * Good programming skills in Python and C/C++ | ||
- | * ROS, OpenCV | ||
- | [1] http:// | + | Contact: |
- | Contact: [[team: | ||
- | == On-the-fly 3D CAD model creation | + | == Development of Modules for Robot Perception |
+ | 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 this context, we are currently offering multiple Hiwi positions / student jobs for the following tasks: | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | Create models during runtime for unknown textured objets based on depth and color information. Track the object | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding of the ROS middleware | ||
+ | The spoken language in this job is german or english, based on your preference. | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: | + | == Game Engine Developer and 3D-Modelling |
+ | A recent development in the field of AI is the usage of photorealistic simulations, | ||
+ | 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. | ||
- | == Simulation | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
+ | * Modelling | ||
+ | * Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. | ||
- | Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate the affordances these objects possess, in order to support segmentation, | + | Requirements: |
- | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | |
- | Requirements: | + | * Experience |
- | * Good programming skills in C/C++ | + | |
- | * strong background | + | |
- | * Gazebo, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | |
- | + | ||
- | Objects in a human environment are usually found in challenging scenes. They can be stacked upon eachother, touching or occluding, can be found in drawers, cupboards, refrigerators | + | |
- | Requirements: | + | The spoken language |
- | * Good programming skills | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:patrick_mania|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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