Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
jobs [2016/06/08 10:43] – raider | jobs [2018/07/19 10:53] – [Open researcher positions] nyga | ||
---|---|---|---|
Line 1: | Line 1: | ||
~~NOTOC~~ | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | + | |
+ | =====Open researcher positions===== | ||
+ | == Doctoral Candidate / Research Associate == | ||
+ | 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 contribution to authoring of research grant proposals. | ||
+ | |||
+ | Prerequisites: | ||
+ | * Successfully completed Master' | ||
+ | * very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/ | ||
+ | * very good programming skills in the Python/ | ||
+ | * 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, | ||
+ | Prof. Michael Beetz, PhD\\ | ||
+ | [[mailto: | ||
+ | =====Theses and Student | ||
If you are looking for a bachelor/ | If you are looking for a bachelor/ | ||
Line 7: | Line 35: | ||
Technical support for the group for Lisp and the CRAM framework. \\ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
- | 5 hours per week for up to 1 year (paid). | + | 8+ hours per week for up to 1 year (paid). |
Requirements: | Requirements: | ||
Line 16: | Line 44: | ||
Contact: [[team: | Contact: [[team: | ||
- | --> | + | --></ |
- | </ | + | |
+ | == Student job for data visualization == | ||
- | == Integrating PR2 in the Unreal Game Engine Framework (BA)== | + | 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/ |
- | {{ : | + | |
+ | Perspective of future BA/MA topics in this project! | ||
+ | |||
+ | If you're interested, contact [[team: | ||
+ | |||
+ | == 3D Model / Material / Lightning Developer (Student Job / 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. | ||
+ | |||
+ | Bonus: Working with state of the art 3D Scanners [[https:// | ||
+ | |||
+ | Requirements: | ||
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | |||
+ | |||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Unreal Engine Editor Developer (Student Job / HiWi)== | ||
+ | {{ : | ||
+ | |||
+ | Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework [[https:// | ||
+ | |||
+ | |||
+ | Requirements: | ||
+ | * Good C++ programming skills | ||
+ | * Familiar with the [[https:// | ||
+ | * Familiar with Unreal Engine API | ||
+ | |||
+ | Contact: [[team: | ||
+ | |||
+ | == Integrating PR2 in the Unreal Game Engine Framework (BA/MA/HiWi)== | ||
+ | {{ : | ||
Integrating the [[https:// | Integrating the [[https:// | ||
Line 34: | Line 96: | ||
- | == Realistic Grasping using Unreal Engine (BA/MA) == | + | == Realistic Grasping using Unreal Engine (BA/MA/HiWi) == |
{{ : | {{ : | ||
Line 54: | Line 116: | ||
Contact: [[team/ | Contact: [[team/ | ||
- | |||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)== | ||
- | {{ : | ||
- | |||
- | Developing new activities and improving the current simulation framework done under the [[http:// | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in C/C++ | ||
- | * Basic physics/ | ||
- | * Gazebo simulator basic tutorials | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | |||
- | |||
- | |||
- | == Automated sensor calibration toolkit (BA/MA)== | ||
- | |||
- | 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 is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | ||
- | |||
- | {{ : | ||
- | 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 | ||
- | |||
- | Requirements: | ||
- | * Good programming skills in Python and C/C++ | ||
- | * ROS, OpenCV | ||
- | |||
- | [1] http:// | ||
- | |||
- | 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, | ||
- | |||
- | Requirements: | ||
- | * 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) == | ||
- | |||
- | 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, | ||
- | |||
- | 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 == | ||
- | |||
- | 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: | ||
- | * Good programming skills in C/C++ | ||
- | * strong background in 3D vision | ||
- | * basic knowledge of ROS, OpenCV, PCL | ||
- | |||
- | Contact: [[team: | ||
- | |||
- | == Semantic Collision Checking for Planning Robot Manipulation Tasks == | ||
- | {{ : | ||
- | Service robots helping humans at home shall perform manipulation tasks like wiping a table or polishing glass surfaces. To successfully complete these tasks, robots needs to establish the ' | ||
- | |||
- | The goal of this project is to interface existing collision checking software from MoveIt! with the robot knowledge base KnowRob to enable semantic collision checking. As a result, the student will extend the KnowRob system by a couple of predicates which employ collision checking from MoveIt! to decide whether a given world state complies with a desired contact state. | ||
- | |||
- | Requirements: | ||
- | * basic knowledge of ROS | ||
- | * basic knowledge of robotics | ||
- | * interest in using KnowRob and MoveIt! | ||
- | |||
- | 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
Discover our VRB for innovative and interactive research
Memberships and associations: