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~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == Doctoral Candidate / Early Stage Researcher position == | ||
+ | As a research associate at the Institute for Artificial Intelligence, | ||
+ | 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. | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | Prerequisites: |
+ | * Successfully completed Master' | ||
+ | * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/Markov random fields/ | ||
+ | * very good programming skills in the Python/ | ||
+ | * experience in natural-language understanding and semantic modeling helpful. | ||
- | 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 | + | Besides |
- | Requirements: | + | Research associate |
- | * Skills in numerical optimization algorithms | + | with the Institute for Artificial Intelligence |
- | * Good programming skills in Python and C/C++ | + | at the University of Bremen, Germany, |
- | Contact: [[team: | + | Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible. |
- | == Online Learning of Markov Logic Networks for Natural-Language Understanding | + | Please send your application |
+ | =====Theses and Student Jobs===== | ||
+ | If you are looking for a bachelor/ | ||
- | Markov Logic Networks | + | < |
+ | == Lisp / CRAM support assistant | ||
- | Requirements: | + | Technical support |
- | * Experience in Machine Learning. | + | 8+ hours per week for up to 1 year (paid). |
- | * Experience with statistical relational learning (e.g. MLNs) is helpful. | + | |
- | * Good programming skills in Python. | + | |
- | + | ||
- | Contact: [[team: | + | |
- | + | ||
- | + | ||
- | ==HiWi-Position: | + | |
- | + | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | |
- | are investigating methods | + | |
- | + | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | |
- | development | + | |
- | + | ||
- | This HiWi-Position can serve as a starting point for future Bachelor' | + | |
- | + | ||
- | Tasks: | + | |
- | * Implementation of an interface | + | |
- | * 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 ROS knowledge |
- | * Optional: basic skills in Probability Theory | + | |
- | * Optional: basic skills in Machine Learning | + | |
- | * Good programming skills in Python and Java | + | |
- | Hours: 10-20 h/week | + | 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:daniel_nyga|Daniel Nyga]] | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
+ | --></ | ||
- | [1] www.robohow.eu\\ | + | == Student job for data visualization == |
- | [2] http:// | + | |
+ | 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 in terms of interactive web applications. Your task would be to design and develop visualization tools that allow the interaction with the data of the project. You will work with Javascript/ | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA/HiWi)== | + | Perspective of future |
- | {{ : | + | |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | If you're interested, contact |
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Gazebo simulator basic tutorials | ||
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | < |
+ | == 3D Model / Material / Lightning Developer (Student Job / HiWi)== | ||
+ | | ||
- | == Integrating Eye Tracking | + | Developing and improving existing 3D models |
- | {{ : | + | |
- | Integrating the eye tracker in the [[http://gazebosim.org/|Gazebo]] based Kitchen Activity Games framework and logging the gaze of the user during the gameplay. From the information typical activities should be inferred. | + | Bonus: Working with state of the art 3D Scanners |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
- | * Gazebo simulator basic tutorials | + | * Knowledge of Unreal Engine material / lightning development |
- | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | ||
- | {{ : | ||
- | |||
- | Improving the skeletal tracking offered by the [[https:// | ||
- | |||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
Contact: [[team: | Contact: [[team: | ||
- | == Fluid Simulation | + | == Integrating PR2 in the Unreal Game Engine Framework |
- | {{ :research:fluid.png?200|}} | + | {{ :research:unreal_ros_pr2.png?100|}} |
- | [[http://gazebosim.org/ | + | Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http:// |
- | + | ||
- | Currently there is an [[http://gazebosim.org/tutorials? | + | |
- | + | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | |
- | and should be implemented (PCISPH/ | + | |
- | + | ||
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions (not taking into account pressure and other forces). | + | |
- | + | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | |
- | + | ||
- | Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo. | + | |
Requirements: | Requirements: | ||
* Good programming skills in C/C++ | * Good programming skills in C/C++ | ||
- | * Interest in Fluid simulation | ||
* Basic physics/ | * Basic physics/ | ||
- | * Gazebo simulator and Fluidix | + | * Basic ROS knowledge |
+ | * UE4 basic tutorials | ||
Contact: [[team: | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == Realistic Grasping using 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, | + | {{ : |
- | The topic for this thesis | + | The objective of the project |
+ | ious human-like grasping approaches in a game developed using [[https:// | ||
- | The system should: | + | The game consist |
- | * be independent | + | |
- | * 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:// | ||
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == 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, | + | == Unreal Engine Editor Developer (Student Job / HiWi)== |
+ | {{ : | ||
- | Requirements: | + | Creating new user interfaces (panel customization) for various internal plugins using the Unreal |
- | * Good programming skills in C/C++ | + | |
- | * strong background in computer vision | + | |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Requirements: |
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * 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, | + | Contact: [[team: |
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in computer vision | ||
- | * Gazebo, OpenCV, PCL | ||
- | Contact: [[team: | ||
- | == 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, | ||
- | Requirements: | + | Implmenting the rendering of the [[https:// |
- | * Good programming skills in C/C++ | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge | + | |
- | 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:// | ||
+ | * 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
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