Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
Next revisionBoth sides next revision
jobs [2016/03/03 07:52] – [Theses and Jobs] ahaidujobs [2019/01/16 14:09] – [Theses and Student Jobs] mareikep
Line 1: Line 1:
 ~~NOTOC~~ ~~NOTOC~~
-=====Theses and Jobs=====+ 
 +=====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.   
 + 
 +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.   
 + 
 +Prerequisites:  
 +  * Successfully completed Master's degree (or equivalent) in Computer Science with a major in Artificial Intelligence/Machine Learning,  
 +  * 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,  
 +  * very good programming skills in the Python/Cython/C/C++ programming languages and respective libraries for scientific computing (numpy/scipy/sympy),  
 +  * experience in natural-language understanding and semantic modeling helpful. 
 + 
 +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. 
 + 
 +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. 
 + 
 +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. 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.
  
 +<html><!--
 == Lisp / CRAM support assistant (HiWi) == == Lisp / CRAM support assistant (HiWi) ==
  
 Technical support for the group for Lisp and the CRAM framework. \\ Technical support for the group for Lisp and the CRAM framework. \\
-hours per week for up to 1 year (paid).+8+ hours per week for up to 1 year (paid).
  
 Requirements: Requirements:
Line 15: Line 42:
  
 Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]]
 +--></html>
  
 +<html><!--
 +== 3D Model / Material / Lightning Developer (Student Job / HiWi)==
 + {{ :research:kitchen_unreal.jpg?200|}} 
  
-== Integrating PR2 in the Unreal Game Engine Framework (BA)== +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
- {{ :research:unreal_ros_pr2.png?200|}} +
  
-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.+BonusWorking with state of the art 3D Scanners [[https://www.goscan3d.com/|Go!SCAN]] for creating new realistic models.
  
 Requirements: Requirements:
-  * Good programming skills in C/C++ +  * Experience with Blender Maya (or other) 
-  * Basic physics/rendering engine knowledge +  * Knowledge of Unreal Engine material lightning development 
-  * Basic ROS knowledge + 
-  * UE4 basic tutorials+
  
 Contact: [[team:andrei_haidu|Andrei Haidu]] Contact: [[team:andrei_haidu|Andrei Haidu]]
  
-== Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== +== Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== 
- {{ :research:gz_env1.png?200|}} + {{ :research:unreal_ros_pr2.png?100|}} 
  
-Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc.+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:
   * Good programming skills in C/C++   * Good programming skills in C/C++
   * Basic physics/rendering engine knowledge   * Basic physics/rendering engine knowledge
-  * Gazebo simulator basic tutorials+  * Basic ROS knowledge 
 +  * UE4 basic tutorials
  
 Contact: [[team:andrei_haidu|Andrei Haidu]] Contact: [[team:andrei_haidu|Andrei Haidu]]
  
  
 +== Realistic Grasping using Unreal Engine (BA/MA/HiWi) ==
  
 +{{  :teaching:gsoc:topic2_unreal.png?nolink&150|}}
  
-== Automated sensor calibration toolkit (BA/MA)==+The objective of the project is to implement var- 
 +ious human-like grasping approaches in a game developed using [[https://www.unrealengine.com/|Unreal Engine]]. 
  
-Computer vision is an important part of autonomous robots. For robots the image sensors are the main source of information of the surrounding world. Each camera is different, even if they are from the same production line. For computer vision, especially for robots manipulating their environment, it is important that the parameters for the cameras in use are well known. The calibration of a camera is time consuming taskand the result depends highly on the chosen setup and the accuracy of the operator. +The game consist of a household environment where user has to execute various given taskssuch 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.
- +
-The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. +
- +
- {{ :kinect2_calibration_setup_small.jpg?200|}} +
-The system should: +
-  * be independent of the camera type +
-  * estimate intrinsic and extrinsic parameters +
-  * calibrate depth images (case of RGB-D) +
-  * integrate capabilities from Halcon [1] +
-  * operate autonomously+
  
 +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:  Requirements: 
-  * Good programming skills in Python and C/C++ +  * Good programming skills in C++ 
-  * ROS, OpenCV+  * Good knowledge of the Unreal Engine API.  
 +  * Experience with skeletal control / animations / 3D models in Unreal Engine.
  
-[1] http://www.halcon.de/ 
  
-Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]+Contact: [[team/andrei_haidu|Andrei Haidu]] 
 +--></html>
  
-== On-the-fly 3D CAD model creation (MA)== 
  
-Create models during runtime for unknown textured objets based on depth and color information. Track the object and update the model with more detailed information, completing it's 3D model from multiple views improving redetection. Using the robots manipulator pick up the object and complete the model by viewing it from multiple viewpoints.+== Unreal Engine Editor Developer (Student Job / HiWi)== 
 + {{ :research:unreal_editor.png?150|}} 
  
-Requirements:  +Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]].
-  * Good programming skills in C/C++ +
-  * strong background in computer vision  +
-  * ROS, OpenCV, PCL+
  
-Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] 
  
-== Simulation of a robots belief state to support perception(MA) ==+Requirements: 
 +  * Good C++ programming skills 
 +  * Familiar with the [[https://docs.unrealengine.com/latest/INT/Programming/Slate/|SLATE]] framework 
 +  * Familiar with Unreal Engine API
  
-Create a simulation environment that represents the robots current belief state and can be updated frequently. Use off-screen rendering to investigate the affordances these objects possess, in order to support segmentation, detection and tracking of these in the real world. +Contact: [[team:andrei_haidu|Andrei Haidu]]
  
-Requirements:  
-  * Good programming skills in C/C++ 
-  * strong background in computer vision  
-  * Gazebo, OpenCV, PCL 
  
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] 
  
-== Multi-expert segmentation of cluttered and occluded scenes ==+== OpenEASE rendering in Unreal Engine (BA/MA Thesis, Student Job / HiWi)==
  
-Objects in a human environment are usually found in challenging scenes. They can be stacked upon eachother, touching or occluding, can be found in drawers, cupboards, refrigerators and so on. A personal robot assistant in order to execute a task, needs to detect these objects and recognize them. In this thesis a multi-modal approach to interpreting cluttered scenes is going to be investigated, combining the results of multiple segmentation algorithms in order to come up with more reliable object hypotheses. 
  
-Requirements:  +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.
-  * Good programming skills in C/C++ +
-  * strong background in 3D vision  +
-  * basic knowledge of ROS, OpenCV, PCL +
- +
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]]+
  
 +Requirements:
 +  * Good C++ programming skills
 +  * Familiar with Unreal Engine API
 +  * 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:andrei_haidu|Andrei Haidu]]




Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

Discover our VRB for innovative and interactive research


Memberships and associations:


Social Media: