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jobs [2015/07/28 12:11] – [Theses and Jobs] winkler | jobs [2019/01/16 14:09] – [Theses and Student Jobs] mareikep | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == Doctoral Candidate / Early Stage Researcher position == | ||
+ | As a research associate at the Institute for Artificial Intelligence, | ||
+ | In particular, your challenges comprise the following: | ||
+ | * the development and implementation of probabilistic models and algorithms for learning and reasoning in complex scenarios of intelligent service robots, | ||
+ | * the creation and maintenance of software documentation as well as the presentation of research results at top-tier international conferences, | ||
+ | * self-organized and ambitious work both individually and in a team of researchers, | ||
+ | * the authoring of research grant proposals. | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | Prerequisites: |
+ | * Successfully completed Master' | ||
+ | * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/Markov random fields/ | ||
+ | * very good programming skills in the Python/ | ||
+ | * experience in natural-language understanding and semantic modeling helpful. | ||
- | 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 | + | Besides |
- | Requirements: | + | Research associate |
- | * Skills in numerical optimization algorithms | + | with the Institute for Artificial Intelligence |
- | * Good programming skills in Python and C/C++ | + | at the University of Bremen, Germany, |
- | Contact: [[team: | + | Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible. |
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | Please send your application |
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | Markov Logic Networks | + | < |
+ | == Lisp / CRAM support assistant | ||
+ | |||
+ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Experience | + | * Good programming skills |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | * Basic ROS knowledge |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | The student will be introduced to the CRAM framework at the beginning of the job, which is a robot programming framework written in Lisp. The student will then be responsible for assisting not familiar with the framework people, explaining them the parts they don't understand and pointing them to the relevant documentation sources. |
+ | Contact: [[team: | ||
+ | --></ | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | < |
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Developing and improving existing 3D models in Blender / Maya (or other). Importing the models in Unreal Engine, where the Materials and Lightning should be improved |
- | are investigating methods for combining multimodal sources of knowledge | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Bonus: Working with state of the art 3D Scanners [[https://www.goscan3d.com/ |
- | development and the integration | + | |
- | + | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | |
- | + | ||
- | Tasks: | + | |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | |
- | * Linkage of the knowledge base to the executive of the robot. | + | |
- | * Support | + | |
Requirements: | Requirements: | ||
- | * Studies in Computer Science | + | * Experience with Blender / Maya (or other) |
- | * Basic skills in Artificial Intelligence | + | * Knowledge of Unreal Engine material / lightning development |
- | * 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: | ||
- | |||
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
+ | Contact: [[team: | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | == Integrating PR2 in the Unreal Game Engine Framework |
- | {{ :research:gz_env1.png?200|}} | + | {{ :research:unreal_ros_pr2.png?100|}} |
- | 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 new scenarios, save logs etc. | + | Integrating |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
* Basic physics/ | * Basic physics/ | ||
- | * Gazebo simulator | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating the eye tracker in the [[http://gazebosim.org/ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | Requirements: | + | {{ : |
- | * Good programming skills in C/C++ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: | + | The objective of the project is to implement var- |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting the table, cleaning the dishes etc. The interaction is done using various sensors to map the users hands onto the virtual hands in the game. |
- | {{ : | + | |
- | Improving | + | In order to improve |
+ | be able to switch during runtime | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
- | Requirements: | + | Contact: [[team/ |
- | * Good programming skills in C/C++ | + | --></html> |
- | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo | + | == Unreal Engine Editor Developer |
- | {{ :research:fluid.png?200|}} | + | {{ :research:unreal_editor.png?150|}} |
- | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines (ODE, Bullet etc.), however in some cases fluids are preferred in order to simulate as realistically as possible the given environment. | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | Currently there is an [[http:// | ||
- | |||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | ||
- | 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 (not taking into account pressure and other forces). | ||
- | |||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine [[http:// | ||
- | |||
- | Here is a [[https:// | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with the [[https:// |
- | * Basic physics/rendering engine knowledge | + | * Familiar with Unreal Engine API |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit (BA/MA)== | ||
- | Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, | + | == OpenEASE rendering |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | | + | Implmenting the rendering of the [[https://data.open-ease.org/ |
- | The system should: | + | |
- | * be independent of the camera type | + | |
- | * estimate intrinsic | + | |
- | * calibrate depth images (case of RGB-D) | + | |
- | * integrate capabilities from Halcon [1] | + | |
- | * operate autonomously | + | |
- | Requirements: | + | Requirements: |
- | * Good programming skills | + | * Good C++ programming skills |
- | * ROS, OpenCV | + | * Familiar with Unreal Engine API |
+ | * Familiar with HTML5 and JavaScript | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with basic ROS communication | ||
- | [1] http:// | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | |
- | + | ||
- | Create models during runtime for unknown textured objets based on depth and color information. Track the object and update the model with more detailed information, | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | |
- | + | ||
- | 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: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * 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 and so on. A personal robot assistant in order to execute a task, needs to detect these objects and recognize them. In this thesis a multi-modal approach to interpreting cluttered scenes is going to be investigated, | + | |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | + | ||
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + |
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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