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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | We don't have any open job offers right now. | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== | + | < |
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | 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 | + | Technical support for the group for Lisp and the CRAM framework. \\ |
+ | 8+ hours per week for up to 1 year (paid). | ||
Requirements: | Requirements: | ||
- | * Skills | + | * Good programming skills |
- | * Good programming skills in Python and C/C++ | + | * Basic ROS knowledge |
- | 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. |
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | Contact: [[team: |
+ | --></ | ||
+ | == Web development / Visualization / Misc (Student Job / HiWi)== | ||
- | Markov Logic Networks (MLNs) combine | + | Designing a visualization toolbox to illustrate |
+ | Different tools are to be developed to visualize data, select subsets | ||
Requirements: | Requirements: | ||
- | * Experience in Machine Learning. | + | * Good programming skills |
- | * Experience | + | * Familiar |
- | * Good programming skills in Python. | + | * Creativity |
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:mareike_picklum|Mareike Picklum]] |
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
- | ==HiWi-Position: | + | 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. |
- | In the context | + | Bonus: Working with state of the art 3D Scanners [[https:// |
- | are investigating methods | + | |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | Requirements: |
- | development and the integration | + | * Experience with Blender / Maya (or other) |
+ | * Knowledge | ||
- | 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: | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | * Studies in Computer Science (Bachelor' | + | |
- | * Basic skills in Artificial Intelligence | + | |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
+ | {{ : | ||
- | Contact: | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
- | == Depth-Adaptive Superpixels (BA/MA)== | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | | + | |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect with a thermal image camera. Within this project we want to enhance the Depth-Adaptive Superpixels (DASP) to make use of the thermal sensor data. Depth-Adaptive Superpixels oversegment an image taking into account the depth value of each pixel. | + | |
- | Since the current implementation of DASP is not very performant for high resolution images, there are several options for doing a project | + | == Integrating PR2 in the Unreal Game Engine Framework (BA/ |
+ | {{ : | ||
+ | |||
+ | Integrating the [[https:// | ||
Requirements: | Requirements: | ||
- | | + | * Good programming skills in C/C++ |
- | | + | * Basic physics/ |
- | * Experience with CUDA is helpful | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
- | Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]] | + | Contact: [[team:andrei_haidu|Andrei Haidu]] |
- | == Physical Simulation of Humans | + | == Realistic Grasping using Unreal Engine |
- | {{ : | + | |
- | For tracking people, the use of particle filters is a common approach. However, the quality of those filters heavily depends on the way particles are spread. In this thesis, a library for the physical simulation of a human model is to be implemented. | + | {{ : |
- | Requirements: | + | The objective of the project is to implement var- |
- | * Good programming skills | + | ious human-like grasping approaches |
- | * Optional: Experience in working with physics libraries | + | |
+ | The game consist of a household environment where a user has to execute various given tasks, | ||
- | Contact: [[team: | + | In order to improve the ease of manipulating objects the user should |
+ | be able to switch during runtime the type of grasp (pinch, power | ||
+ | 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. | ||
+ | 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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