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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 (MA)== | + | Contact: [[team: |
+ | --></ | ||
- | 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 | + | == Student job for data visualization == |
- | Requirements: | + | In the scope of the CRC Farbige Zustände we use machine-learning techniques and novel high-troughput methods to find new materials. To present the project to the scientific community as well as to the non-scientific audience, we want to visualize its ideas and concepts |
- | * Experience | + | |
- | * Experience | + | |
- | * Good programming skills | + | |
- | Contact: [[team: | + | Perspective of future BA/MA topics in this project! |
+ | If you're interested, 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:// |
- | development and the integration | + | |
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
- | 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: | ||
- | * 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 | + | Contact: [[team: |
- | Contact: [[team:daniel_nyga|Daniel Nyga]] | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
+ | | ||
- | [1] www.robohow.eu\\ | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | [2] http://www.youtube.com/watch? | + | |
- | == Depth-Adaptive Superpixels (BA/ | + | Requirements: |
- | | + | * Good C++ programming skills |
- | We are currently investigating a new set of sensors (RGB-D-T), which is a combination of a kinect | + | * Familiar |
+ | * Familiar with Unreal Engine API | ||
- | Since the current implementation of DASP is not very performant for high resolution images, there are several options for doing a project | + | Contact: [[team: |
+ | |||
+ | == 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: | ||
+ | |||
+ | |||
+ | == Realistic Grasping using Unreal Engine (BA/ | ||
+ | |||
+ | {{ : | ||
+ | |||
+ | The objective of the project | ||
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | Contact: [[team: | + | 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. |
+ | 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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