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jobs [2014/08/29 11:12] – [Theses and Jobs] ahaidu | jobs [2019/05/08 09:34] – [Theses and Student Jobs] haidu | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
+ | |||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | == Knowledge-enabled PID Controller for 3D Hand Movements in Virtual Environments |
- | 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 | + | Implementing |
+ | of the human user will be mapped | ||
+ | The controller should | ||
Requirements: | Requirements: | ||
- | | + | * Good C++ programming skills |
- | | + | * Familiar with PID controllers |
+ | * Experience with simulators/game engines is recommended | ||
+ | * Experience with Unreal Engine | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
+ | |||
+ | Contact: [[team: | ||
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | < |
+ | == Lisp / CRAM support assistant | ||
- | Markov Logic Networks (MLNs) combine | + | 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: | ||
+ | --></ | ||
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | {{ : | ||
- | ==HiWi-Position: | + | Editing and cutting |
- | + | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | |
- | 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 | + | |
- | development and the integration of probabilistic methods | + | |
- | + | ||
- | 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 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/mona_abdel-keream|Mona Abdel-Keream]] |
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | < |
- | [2] http://www.youtube.com/watch?v=0eIryyzlRwA | + | == 3D Model / Material |
+ | {{ : | ||
+ | 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 to be close as possible to realism. | ||
- | == Depth-Adaptive Superpixels (BA/MA)== | + | Bonus: Working |
- | | + | |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect | + | |
- | + | ||
- | Since the current implementation of DASP is not very performant | + | |
Requirements: | Requirements: | ||
- | * Basic knowledge of image processing | + | * Experience with Blender / Maya (or other) |
- | * Good programming skills in C/C++. | + | * Knowledge of Unreal Engine material |
- | * Experience | + | * Familiar with version-control systems (git) |
+ | * Able to work independently | ||
- | Contact: [[team: | ||
- | == Physical Simulation of Humans (BA/MA)== | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | | + | --></ |
- | For tracking people, | + | < |
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/ | ||
+ | {{ : | ||
+ | |||
+ | Integrating | ||
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Optional: Experience in working with physics | + | * Basic physics/rendering engine knowledge |
+ | * Basic ROS knowledge | ||
+ | * UE4 basic tutorials | ||
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | ||
- | {{ : | ||
- | Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | Requirements: | + | {{ : |
- | * Good programming skills in C/C++ | + | |
- | * Basic physics/ | + | |
- | * 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:// | ||
- | == Integrating Eye Tracking | + | 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. |
- | {{ : | + | |
- | Integrating | + | In order to improve |
+ | be able to switch | ||
+ | grasp, precision grip etc.) he/she would like to use. | ||
+ | |||
+ | Requirements: | ||
+ | * Good programming skills in C++ | ||
+ | * Good knowledge of the Unreal Engine API. | ||
+ | * Experience with skeletal control / animations / 3D models in Unreal Engine. | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Gazebo simulator basic tutorials | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | Contact: [[team/andrei_haidu|Andrei Haidu]] |
+ | --></ | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | < |
- | {{ :research:leap_motion.jpg?200|}} | + | == Unreal Engine Editor Developer |
+ | {{ :research:unreal_editor.png?150|}} | ||
- | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/|Leap Motion SDK]], by using two devices (one tracking vertically the other horizontally) and switching between them to the one that has the best current view of the hand. | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | ||
- | {{ : | ||
- | [[http:// | ||
- | Currently there is an [[http:// | + | == OpenEASE rendering |
- | 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 | + | Implmenting |
- | + | ||
- | Another topic would be the visualization | + | |
- | + | ||
- | Here is a [[https:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Interest in Fluid simulation | + | * Familiar with Unreal Engine API |
- | * Basic physics/rendering engine knowledge | + | * Familiar with HTML5 and JavaScript |
- | * Gazebo simulator and Fluidix | + | * Familiar with the [[https:// |
+ | * Familiar with basic ROS communication | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ |
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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