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| jobs [2015/03/19 12:25] – [Theses and Jobs] balintbe | jobs [2022/07/25 10:13] – [Theses and Student Jobs] danielb | ||
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| - | ~~NOTOC~~ | ||
| - | =====Theses and Jobs===== | ||
| - | If you are looking for a bachelor/ | ||
| + | =====Open researcher positions===== | ||
| + | We are currently offering multiple open researcher job positions in the context of our project Intel4CoRo. | ||
| - | == GPU-based Parallelization of Numerical Optimization Techniques | + | * [[https:// |
| + | * [[https:// | ||
| + | * [[https:// | ||
| + | =====Theses and Student Jobs===== | ||
| + | If you are looking for a bachelor/ | ||
| - | 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 a severe slow-down. In this thesis, state-of-the-art GPU frameworks (e.g. CUDA) are to be investigated in order implement numerical optimizers that substantially profit from parallel execution. | ||
| - | Requirements: | + | < |
| - | * Skills | + | == Physics-based grasping |
| - | * Good programming skills in Python and C/C++ | + | |
| - | Contact: [[team: | + | Implementing physics-based grasping models in virtual environments, |
| + | using Manus VR. | ||
| - | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | Requirements: |
| + | * Good C++ programming skills | ||
| + | * Familiar with skeletal animations | ||
| + | * Experience with simulators/ | ||
| + | * Familiar with Unreal Engine API | ||
| + | * Familiar with version-control systems | ||
| + | * Able to work independently with minimal supervision | ||
| - | 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, | + | Contact: [[team: |
| + | --></ | ||
| - | Requirements: | ||
| - | * Experience in Machine Learning. | ||
| - | * Experience with statistical relational learning (e.g. MLNs) is helpful. | ||
| - | * Good programming skills in Python. | ||
| - | Contact: [[team: | + | < |
| + | == 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). | ||
| - | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | Requirements: |
| + | * Good programming skills in Common Lisp | ||
| + | * Basic ROS knowledge | ||
| - | In the context | + | The student will be introduced to the CRAM framework at the beginning |
| - | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | + | |
| - | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Contact: [[team: |
| - | 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' | + | < |
| + | == Mesh Editing / Mesh Segmentation/ | ||
| + | {{ : | ||
| - | Tasks: | + | Editing and cutting a human mesh into different parts in Blender / Maya (or other). |
| - | * Implementation of an interface to the Robot Operating System | + | |
| - | * 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 | + | * Good knowledge |
| - | * Basic skills in Artificial Intelligence | + | * Familiar with Blender / Maya (or other) |
| - | * Optional: basic skills in Probability Theory | + | |
| - | * Optional: basic skills in Machine Learning | + | |
| - | * Good programming skills in Python and Java | + | |
| - | Hours: 10-20 h/week | + | Contact: [[team/ |
| + | --></html> | ||
| - | Contact: [[team: | ||
| - | [1] www.robohow.eu\\ | + | < |
| - | [2] http://www.youtube.com/ | + | == 3D Animation and Modeling (Student Job / HiWi)== |
| + | {{ : | ||
| + | Developing and improving existing or new 3D (static/ | ||
| + | models in Blender / Maya (or other). Further importing and testing the | ||
| + | models against Unreal Engine. | ||
| - | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Bonus: Working with state of the art 3D Scanners |
| - | | + | |
| - | + | ||
| - | Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch | + | |
| Requirements: | Requirements: | ||
| - | * Good programming skills in C/C++ | + | * Experience with Blender |
| - | * Basic physics/rendering engine knowledge | + | * Knowledge of Unreal Engine material |
| - | * Gazebo simulator basic tutorials | + | * Familiar with version-control systems (git) |
| + | * Able to work independently with minimal supervision | ||
| Contact: [[team: | Contact: [[team: | ||
| + | --></ | ||
| - | == Integrating Eye Tracking | + | == Representing knowledge |
| - | {{ : | + | |
| - | Integrating the eye tracker | + | The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich |
| - | Requirements: | + | Summary: |
| - | * Good programming skills in C/C++ | + | * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen. |
| - | * Gazebo simulator basic tutorials | + | * Refactor an existing knowledge database (known as the Object DataBase, ODB) used by the DLR into an ontology. |
| + | * Use the ontology to design tasks in the assistive robotics domain using our assistive robots | ||
| - | Contact: [[team: | + | Full offer: |
| - | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | {{ :teaching:offer_2020-01_op2_wedanjustin.pdf |}} |
| - | {{ :research:leap_motion.jpg?200|}} | + | |
| - | Improving the skeletal tracking offered by the [[https:// | + | Contact: |
| - | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | == Linking saref to SOMA (BA Thesis) == |
| - | Requirements: | + | Wissensrepräsentation: Semantische Integration der saref Ontology (https:// |
| - | * Good programming skills | + | |
| - | Contact: [[team: | + | Aufgaben: |
| + | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
| + | * Wissensakquisition aus web-Quellen | ||
| + | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
| - | == Fluid Simulation in Gazebo (BA/MA)== | + | Contact: [[team:michaela_kümpel|Michaela Kümpel]] |
| - | | + | |
| - | [[http:// | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen |
| - | Currently there is an [[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, |
| - | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Aufgaben: |
| - | and should be implemented (PCISPH/IISPH). | + | * Wissensakquise aus dem Internet |
| + | * Wissensrepräsentation/ Modellierung: | ||
| + | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
| + | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
| - | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions (not taking into account pressure and other forces). | ||
| - | Another topic would be the visualization | + | Contact: [[team: |
| + | |||
| + | == 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 | ||
| + | * 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. | ||
| - | Here is a [[https:// | ||
| Requirements: | Requirements: | ||
| - | * Good programming skills in C/C++ | + | * Knowledge about sensor data processing |
| - | * Interest in Fluid simulation | + | * Interest in model construction from sensory data |
| - | * Basic physics/ | + | * Work with KnowRob |
| - | * Gazebo simulator and Fluidix basic tutorials | + | |
| - | Contact: [[team: | ||
| + | Contact: [[team: | ||
| - | == Automated sensor calibration toolkit | + | < |
| + | == 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:// | ||
| - | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information | + | Requirements: |
| + | * Experience in C++. | ||
| + | * Basic understanding | ||
| + | The spoken language | ||
| - | The topic for this master thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Contact: [[team: |
| + | --></ | ||
| - | The system should be: | + | == Game Engine Developer |
| - | * independent of the camera type | + | A recent development in the field of AI is the usage of photorealistic simulations, |
| - | * estimate intrinsics | + | 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. |
| - | * have depth calibration | + | |
| - | | + | |
| - | Requirements: | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
| - | * Good programming skills | + | * Modelling of objects for the use in Unreal Engine 4. |
| - | * ROS, OpenCV | + | * 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 | ||
| - | [1] http://www.halcon.de/ | + | The spoken language in this job is german or english, based on your preference. |
| - | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | 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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