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jobs [2014/04/15 15:48] – [Theses and Jobs] jworchjobs [2019/01/16 14:09] – [Theses and Student Jobs] mareikep
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-=====Theses and 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. 
  
-== Web-based knowledge visualizations (BA/HiWi) ==+=====Open researcher positions===== 
 +== Doctoral Candidate / Early Stage Researcher position ==  
 +As a research associate at the Institute for Artificial Intelligence, you will develop systems for automated knowledge representation and knowledge acquisition, which combine the human ability of understanding language, perceiving objects and learning from experience. In particular, intelligent robots are to be endowed with the capability of autonomously acquire knowledge in order to robustly act in human environments and competently and successfully achieve everyday human-scale tasks.  
  
-{{ :research:knowledge-visualization.png?200}}+In particular, your challenges comprise the following: 
 +  * the development and implementation of probabilistic models and algorithms for learning and reasoning in complex scenarios of intelligent service robots,  
 +  * the creation and maintenance of software documentation as well as the presentation of research results at top-tier international conferences,  
 +  * self-organized and ambitious work both individually and in a team of researchers,  
 +  * the authoring of research grant proposals.  
  
-The knowledge base visualization allows to display semantic environment maps, +Prerequisites:  
-objects, human poses, trajectories and similar information stored in the +  * Successfully completed Master's degree (or equivalent) in Computer Science with a major in Artificial Intelligence/Machine Learning,  
-robot's knowledge base. Its [[http://www.ros.org/wiki/mod_vis|current version]] +  * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/Markov random fields/Markov logic networks) and related formalisms,  
-is written in Java and has grown old over the years. Recently, there has been +  * very good programming skills in the Python/Cython/C/C++ programming languages and respective libraries for scientific computing (numpy/scipy/sympy),  
-much progress in creating [[http://www.ros.org/wiki/interactive_markers|interactive +  * experience in natural-language understanding and semantic modeling helpful.
-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: +Besides the willingness and ability to quickly dive into new and complex research scenarios and topics, we expect organizational skills, the ability to work in a team and high commitment and dedication to you research. Very good skills of the English language is required.
-  * Good programming skills +
-  * Experience with JavaScript development +
-  * Knowledge of Web technologies (HTML, XML, OWL)+
  
-Contact: [[team:moritz_tenorth|Moritz Tenorth]]+Research associate 
 +with the Institute for Artificial Intelligence 
 +at the University of Bremen, Germany,
  
 +Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible.
  
-== Tools for knowledge acquisition from the Web (BA/MA/HiWi) ==+Please send your application (cover letter, CV, certificates, project references, etc) under reference number **A192/18** to: [[mailto:ai-office@cs.uni-bremen.de|ai-office@cs.uni-bremen.de]] 
 +=====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.
  
-There are several options for doing a project related to the acquisition of +<html><!-- 
-knowledge from Web sources like online shops, repositories of object models, +== Lisp / CRAM support assistant (HiWi) == 
-recipe databases, etc.+ 
 +Technical support for the group for Lisp and the CRAM framework. \\ 
 +8+ hours per week for up to 1 year (paid).
  
 Requirements: Requirements:
-  * Programing skills (Java) +  * Good programming skills in Common Lisp 
-  * 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: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>
  
-== GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)==+<html><!-- 
 +== 3D Model / Material / Lightning Developer (Student Job / HiWi)== 
 + {{ :research:kitchen_unreal.jpg?200|}} 
  
-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.+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.  
 + 
 +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]]
  
-Requirements: +== Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== 
-  * Experience in Machine Learning. + {{ :research:unreal_ros_pr2.png?100|}} 
-  * Experience with statistical relational learning (e.g. MLNs) is helpful. +
-  * Good programming skills in Python.+
  
-Contact: [[team:daniel_nyga|Daniel Nyga]]+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:
 +  * Good programming skills in C/C++
 +  * Basic physics/rendering engine knowledge
 +  * Basic ROS knowledge
 +  * UE4 basic tutorials
  
-==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots==+Contact: [[team:andrei_haidu|Andrei Haidu]]
  
-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 a student researcher for the +== Realistic Grasping using Unreal Engine (BA/MA/HiWi) ==
-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's, Master's or Diploma Theses.+{{  :teaching:gsoc:topic2_unreal.png?nolink&150|}}
  
-Tasks: +The objective of the project is to implement var- 
-  * Implementation of an interface to the Robot Operating System (ROS). +ious human-like grasping approaches in a game developed using [[https://www.unrealengine.com/|Unreal Engine]]. 
-  * 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: +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.
-  * 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+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:daniel_nyga|Daniel Nyga]] 
  
-[1] www.robohow.eu\\ +Contact: [[team/andrei_haidu|Andrei Haidu]] 
-[2] http://www.youtube.com/watch?v=0eIryyzlRwA+--></html>
  
-== HiWi position: Segmentation and interpretation of 3D object models (HiWi/MA) == 
  
-{{ :research:cup2-segmented.png?170}}+== Unreal Engine Editor Developer (Student Job / HiWi)== 
 + {{ :research:unreal_editor.png?150|}} 
  
-Competent object interaction requires knowledge about the structure and +Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]].
-composition of objects. In an ongoing research project, we are investigating +
-how part-based object models can automatically be extracted from CAD models +
-found on the Web, e.g. on the [[http://sketchup.google.com/3dwarehouse|3D warehouse]].+
  
-We are looking for a student research assistant to push this topic forward. 
-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: Requirements:
-  * Good Java programming skills +  * Good C++ programming skills 
-  * Basic knowledge of 3D geometry calculations +  * Familiar with the [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]] framework 
-  * Experience with working with 3D models is helpful+  * Familiar with Unreal Engine API 
 + 
 +Contact: [[team:andrei_haidu|Andrei Haidu]] 
  
-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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