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jobs [2014/04/15 15:48] – [Theses and Jobs] jworchjobs [2019/03/05 12:24] – [Theses and Student Jobs] abdelker
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 ~~NOTOC~~ ~~NOTOC~~
-=====Theses and Jobs=====+ 
 +=====Open researcher positions===== 
 + 
 +=====Theses and Student Jobs=====
 If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page. If you are looking for a bachelor/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page.
  
-== Web-based knowledge visualizations (BA/HiWi) ==+<html><!-- 
 +== Lisp / CRAM support assistant (HiWi) ==
  
-{{ :research:knowledge-visualization.png?200}} +Technical support for the group for Lisp and the CRAM framework. \\ 
- +8+ hours per week for up to 1 year (paid).
-The knowledge base visualization allows to display semantic environment maps, +
-objects, human poses, trajectories and similar information stored in the +
-robot's knowledge base. Its [[http://www.ros.org/wiki/mod_vis|current version]] +
-is written in Java and has grown old over the years. Recently, there has been +
-much progress in creating [[http://www.ros.org/wiki/interactive_markers|interactive +
-3D visualizations]] for ROS that can also be accessed with a +
-[[http://www.ros.org/wiki/wviz|web browser]]. This project is about creating +
-a web-based version of the visualization using these techniques.+
  
 Requirements: Requirements:
-  * Good programming skills +  * Good programming skills in Common Lisp 
-  * Experience with JavaScript development +  * Basic ROS knowledge
-  * Knowledge of Web technologies (HTML, XML, OWL)+
  
-Contact: [[team:moritz_tenorth|Moritz Tenorth]]+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:gayane_kazhoyan|Gayane Kazhoyan]]
 +--></html>
 +== Mesh Editing / Mesh Segmentation/Cutting (Student Job / HiWi)==
 + {{ :research:human_hand_cutting.png?170|}}
  
-== Tools for knowledge acquisition from the Web (BA/MA/HiWi) == + Editing and cutting a human mesh into different parts in Blender / Maya (or other).
- +
-There are several options for doing a project related to the acquisition of +
-knowledge from Web sources like online shops, repositories of object models, +
-recipe databases, etc.+
  
 Requirements: Requirements:
-  * Programing skills (Java) +  * Good knowledge in 3D Modeling 
-  * Experience with Web languages and datamining techniques is helpful +  * Familiar with Blender / Maya (or other)
-  * Depending on the focus of the project, experience with database technology, natural-language processing or computer vision may be helpful+
  
-Contact: [[team:moritz_tenorth|Moritz Tenorth]]+Contact: [[team/mona_abdel-keream|Mona Abdel-Keream]]
  
 +== 3D Model / Material / Lightning Developer (Student Job / HiWi)==
 + {{ :research:kitchen_unreal.jpg?200|}} 
  
-== GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)==+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 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 in order implement numerical optimizers that substantially profit from parallel execution.+Bonus: Working with state of the art 3D Scanners [[https://www.goscan3d.com/|Go!SCAN]] for creating new realistic models.
  
 Requirements: Requirements:
-  * Skills in numerical optimization algorithms +  * Experience with Blender / Maya (or other) 
-  * Good programming skills in Python and C/C+++  * Knowledge of Unreal Engine material / lightning development
  
-Contact: [[team:daniel_nyga|Daniel Nyga]] 
  
-== 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, which allow incremental learning, when new examples come in one-by-one.+Contact: [[team:andrei_haidu|Andrei Haidu]] 
 +<html><!-- 
 +== Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== 
 + {{ :research:unreal_ros_pr2.png?100|}}  
 + 
 +Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http://www.ros.org/|ROS]] support in the [[https://www.unrealengine.com|Unreal Engine 4]] Framework.
  
 Requirements: Requirements:
-  * Experience in Machine Learning. +  * Good programming skills in C/C++ 
-  * Experience with statistical relational learning (e.g. MLNs) is helpful. +  * Basic physics/rendering engine knowledge 
-  * Good programming skills in Python.+  * Basic ROS knowledge 
 +  * UE4 basic tutorials
  
-Contact: [[team:daniel_nyga|Daniel Nyga]]+Contact: [[team:andrei_haidu|Andrei Haidu]]
  
  
-==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots==+== Realistic Grasping using Unreal Engine (BA/MA/HiWi) ==
  
-In the context of the European research project RoboHow.Cog [1,2] we +{{  :teaching:gsoc:topic2_unreal.png?nolink&150|}}
-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 +The objective of the project is to implement var- 
-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.+ious human-like grasping approaches in a game developed using [[https://www.unrealengine.com/|Unreal Engine]]. 
  
-This HiWi-Position can serve as a starting point for future Bachelor's, Master's or Diploma Theses.+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.
  
-Tasks: +In order to improve the ease of manipulating objects the user should 
-  * Implementation of an interface to the Robot Operating System (ROS). +be able to switch during runtime the type of grasp (pinch, power 
-  * Linkage of the knowledge base to the executive of the robot. +grasp, precision grip etc.) he/she would like to use. 
-  * Support for the scientific staff in extending and integrating components onto the robot platform PR2.+   
 +Requirements:  
 +  * Good programming skills in C++ 
 +  * Good knowledge of the Unreal Engine API.  
 +  * Experience with skeletal control / animations / 3D models in Unreal Engine.
  
-Requirements: 
-  * Studies in Computer Science (Bachelor's, Master's or Diploma) 
-  * 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/andrei_haidu|Andrei Haidu]] 
 +--></html>
  
-Contact: [[team:daniel_nyga|Daniel Nyga]] 
  
-[1] www.robohow.eu\\ +== Unreal Engine Editor Developer (Student Job / HiWi)== 
-[2] http://www.youtube.com/watch?v=0eIryyzlRwA+ {{ :research:unreal_editor.png?150|}} 
  
-== HiWi position: Segmentation and interpretation of 3D object models (HiWi/MA) ==+Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]].
  
-{{ :research:cup2-segmented.png?170}} 
  
-Competent object interaction requires knowledge about the structure and +Requirements: 
-composition of objects. In an ongoing research project, we are investigating +  * Good C++ programming skills 
-how part-based object models can automatically be extracted from CAD models +  * Familiar with the [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]] framework 
-found on the Web, e.g. on the [[http://sketchup.google.com/3dwarehouse|3D warehouse]].+  * Familiar with Unreal Engine API
  
-We are looking for a student research assistant to push this topic forward. +Contact: [[team:andrei_haidu|Andrei Haidu]]
-In close collaboration with the researchers of the Institute for Artificial +
-Intelligence, the student will work on extending the software for mesh +
-segmentation, implement novel algorithms, improve the integration of the +
-methods into the robot's knowledge base, and update the modules for visualizing +
-the segmentation results. Depending on the results, cooperation on joint  +
-publications may be possible.+
  
-This HiWi position can serve as a starting point for future Bachelor's, 
-Master's or Diploma Theses. Alternatively, we could extract a research 
-project that could be worked on as a Master's or Diploma Thesis. 
- 
-Requirements: 
-  * Good Java programming skills 
-  * Basic knowledge of 3D geometry calculations 
-  * Experience with working with 3D models is helpful 
  
-Contact: [[team:moritz_tenorth|Moritz Tenorth]] 
  
-== Depth-Adaptive Superpixels (BA/HiWi)==+== OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)==
  
-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. {{ :research:dt_dasp.png?200|}} 
  
-Since the current implementation of DASP is not very performant for high resolution images, there are several possibilities options for doing a project in this field like reimplementing DASP using the CUDA, investigating how thermal data can be integrated, ...+Implmenting the rendering of the [[https://data.open-ease.org/|OpenEASE]] knowledge base visualization in Unreal Engine. This will have to be packaged as a HTML5 executable and inserted into the website.
  
 Requirements: Requirements:
-  * Basic knowledge of image processing +  * Good C++ programming skills 
-  * Good programming skills in C/C++. +  * Familiar with Unreal Engine API 
-  * Experience with CUDA is helpful+  * Familiar with HTML5 and JavaScript 
 +  * Familiar with the [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]] framework 
 +  * Familiar with basic ROS communication
  
-Contact: [[team:jan-hendrik_worch|Jan-Hendrik Worch]]+Contact: [[team:andrei_haidu|Andrei Haidu]]
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