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jobs [2014/02/18 17:01] – tenorth | jobs [2018/01/22 09:23] – [Theses and Student Jobs] ahaidu | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
- | ====Theses==== | + | =====Open researcher positions===== |
- | == Web-based | + | == Researcher in the area of Knowledge bases and knowledge |
- | {{ :research: | + | Position code A132/17. Please see [[http:// |
- | The knowledge base visualization allows to display semantic environment maps, | ||
- | objects, human poses, trajectories and similar information stored in the | ||
- | robot' | ||
- | is written in Java and has grown old over the years. Recently, there has been | ||
- | much progress in creating [[http:// | ||
- | 3D visualizations]] for ROS that can also be accessed with a | ||
- | [[http:// | ||
- | a web-based version of the visualization using these techniques. | ||
- | Requirements: | + | == Researcher |
- | * Good programming skills | + | |
- | * Experience | + | |
- | * Knowledge of Web technologies (HTML, XML, OWL) | + | |
- | Contact: | + | Position code A133/17. Please see [[http:// |
- | == Statistical relational models of human activities (MA) == | ||
- | As part of the [[http:// | ||
- | the analysis of observations of Apraxia patients. After suffering brain damage, | ||
- | these patients lack important motor coordination skills that result in various | ||
- | kinds of errors in performing everyday activities. Based on data from the | ||
- | extensive patient trials, the student is to learn statistical relational | ||
- | models that characterize which errors are made in which circumstances. | ||
- | Requirements: | ||
- | * Good knowledge of machine learning (Bayesian networks, statistical relational models) | ||
- | * Programming skills (Java) | ||
- | Contact: [[team: | ||
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | == Tools for knowledge acquisition from the Web (BA/MA/HiWi) == | + | < |
+ | == Lisp / CRAM support assistant | ||
- | There are several options | + | Technical support |
- | knowledge from Web sources like online shops, repositories of object models, | + | 8+ hours per week for up to 1 year (paid). |
- | recipe databases, etc. | + | |
Requirements: | Requirements: | ||
- | * Programing | + | * Good programming |
- | * Experience with Web languages and datamining techniques is helpful | + | * Basic ROS knowledge |
- | * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful | + | |
- | 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: | ||
+ | --></ | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)== | + | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== |
+ | {{ : | ||
- | In the field of Machine Learning, numerical optimization techniques play a focal role. However, as models | + | Developing and improving 3D Models in Blender / Maya. Importing the models |
+ | |||
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
Requirements: | Requirements: | ||
- | * Skills in numerical optimization algorithms | + | * Experience with Blender / Maya |
- | * Good programming skills in Python and C/C++ | + | * Knowledge of Unreal Engine material |
- | Contact: [[team: | ||
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)== | ||
- | 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: | + | == Unreal Engine Editor |
- | * Experience in Machine Learning. | + | {{ : |
- | * Experience with statistical relational learning | + | |
- | * Good programming skills in Python. | + | |
- | Contact: | + | Creating user interfaces (panel customization) for various internal plugins using the Unreal C++ framework |
- | < | + | Requirements: |
- | ====Open Positions==== | + | * Good C++ programming skills |
- | ==HiWi-Position: | + | * Familiar with [[https://docs.unrealengine.com/latest/INT/Programming/ |
+ | * Familiar with Unreal Engine API | ||
- | In the context of the European research project RoboHow.Cog | + | Contact: |
- | 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 | + | == Integrating PR2 in the Unreal Game Engine Framework (BA/ |
- | 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' | + | Integrating |
- | + | ||
- | 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 programming skills |
- | * Basic skills in Artificial Intelligence | + | * Basic physics/ |
- | * Optional: basic skills in Probability Theory | + | * Basic ROS knowledge |
- | * Optional: | + | * UE4 basic tutorials |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | Contact: [[team: |
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
- | [2] http://www.youtube.com/ | + | |
- | == HiWi position: Segmentation and interpretation of 3D object models (HiWi/MA) == | + | {{ |
- | {{ : | + | The objective of the project is to implement var- |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | Competent object interaction requires knowledge about the structure and | + | The game consist |
- | composition | + | |
- | how part-based object models can automatically be extracted from CAD models | + | |
- | found on the Web, e.g. on the [[http:// | + | |
- | We are looking for a student research assistant | + | In order to improve |
- | In close collaboration with the researchers | + | be able to switch during runtime |
- | Intelligence, | + | grasp, precision grip etc.) he/she would like to use. |
- | segmentation, | + | |
- | methods into the robot' | + | Requirements: |
- | the segmentation results. Depending on the results, cooperation on joint | + | * Good programming skills |
- | publications may be possible. | + | * Good knowledge of the Unreal Engine API. |
- | + | * Experience with skeletal control / animations / 3D models | |
- | This HiWi position can serve as a starting point for future Bachelor' | + | |
- | Master' | + | |
- | project that could be worked on as a Master' | + | |
- | + | ||
- | Requirements: | + | |
- | * Good Java programming skills | + | |
- | * Basic knowledge of 3D geometry calculations | + | |
- | * Experience with working with 3D models | + | |
- | 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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