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jobs [2015/06/19 12:58] – winkler | jobs [2023/06/19 13:42] – [Open researcher positions] dziomba | ||
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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | == PostDoc (f/m/d) in in the ERC Advanced Grant project FAME: Open-Ended Manipulation Task Learning with FAME (Future-oriented cognitive Action Modelling Engine)“ | ||
- | == HiWi-Position: Testing | + | With our new project FAME, we aim to lay the groundwork for robots that achieve the competence level of humans in the area of everyday manipulation tasks. |
+ | In pursuit of this goals, FAME will investigate the hypothesis that a knowledge representation and reasoning (KR&R) framework based on explicitly represented and machine-interpretable inner-world models can enable robots to contextualize underdetermined manipulation task requests. | ||
+ | With cutting-edge laboratories | ||
+ | We offer two PostDoc positions (salary scale TV-L 14 - 100%) at the next possible date for the period of three years with the possibility of a two-year extension. | ||
- | When dealing with real-world robot tasks, simulation that is close to reality is key to test behavior-driven, | + | **Research |
- | Requirements: | + | As a PhD with appropriate, proven prior experience, you will take the lead in the integration |
- | * Experience in ROS | + | |
- | * Passion for Robotics | + | |
- | * Ideally programming skills in Lisp, Prolog, and Java | + | |
- | Contact: [[team:jan_winkler|Jan Winkler]] | + | **Your ideal profile:** |
+ | * PhD in Computer Science (Master, University Diploma) | ||
+ | * Outstanding academic achievements e.g. in the field of robotics, AI, perception, programming, | ||
+ | * Profound knowledge in the development of complex software systems, ideally in the field of robotics | ||
+ | * Substantial know-how on AI methods in robotic applications | ||
+ | * Excellent programming skills: the programming languages used include, for example: Python, C ++, LISP, Prolog | ||
+ | * Ability to communicate proficiently in English | ||
+ | * High level of commitment, flexibility and team spirit | ||
+ | Please find the complete job description under the [[https:// | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques (BA/ | ||
- | 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. | ||
- | Requirements: | + | == PhD candidate (f/m/d) in the ERC Advanced Grant project FAME: Open-Ended Manipulation Task Learning with FAME (Future-oriented cognitive Action Modelling Engine) (salary scale TV-L 13 - 100%)== |
- | * Skills in numerical optimization algorithms | + | |
- | * Good programming skills in Python and C/C++ | + | |
- | Contact: [[team: | + | With our new project FAME, we aim to lay the groundwork for robots that achieve the competence level of humans in the area of everyday manipulation tasks. |
- | == Online Learning | + | In pursuit |
- | 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 | + | With cutting-edge laboratories |
- | Requirements: | + | We offer three research positions for scientific qualification |
- | * Experience in Machine Learning. | + | |
- | * Experience | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | ||
+ | **Research tasks:** | ||
+ | * Interpretation and analysis of instructional videos on manipulation tasks (e.g. Wikihow videos) | ||
+ | * Modular and transparent robot plans for simple meal preparation tasks | ||
+ | * Learning and representation of, or reasoning with " | ||
+ | * Simulation of cooking processes and derivation of generalized probabilistic models | ||
+ | * Automated programming of robot plans for the acquisition of manipulation skills | ||
+ | * Integration of existing information systems with modern knowledge processing technologies | ||
+ | * Human-machine interaction techniques for knowledge services based on modern entertainment software technologies | ||
+ | * Design and implementation of knowledge services of the Knowledge4Retail platform | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding | + | **Your ideal profile: |
+ | * University degree in Computer Science (Master, Diploma) or a comparable degree | ||
+ | * Outstanding academic achievements e.g. in the field of robotics, AI, perception, programming, | ||
+ | * Profound knowledge in the development of complex software systems, ideally in the field of robotics | ||
+ | * Substantial know-how on AI methods in robotic applications | ||
+ | * Excellent programming skills: the programming languages used include, | ||
+ | * Ability to communicate proficiently in English | ||
+ | * High level of commitment, flexibility and team spirit | ||
- | In the context of the European research project RoboHow.Cog | + | Please find the complete job description under the [[https:// |
- | are investigating methods for combining multimodal sources | + | |
- | The Institute | + | =====Theses and Student Jobs===== |
- | 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. | + | If you are looking |
- | This HiWi-Position can serve as a starting point for future Bachelor' | ||
- | Tasks: | + | < |
- | * Implementation of an interface to the Robot Operating System | + | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == |
- | * 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. | + | Implementing physics-based grasping models |
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | + | * Good C++ programming skills |
- | * Basic skills in Artificial Intelligence | + | * Familiar with skeletal animations |
- | * Optional: basic skills in Probability Theory | + | * Experience with simulators/ |
- | * Optional: basic skills in Machine Learning | + | * Familiar with Unreal Engine API |
- | * Good programming skills in Python and Java | + | * Familiar with version-control systems (git) |
+ | * Able to work independently with minimal supervision | ||
- | Hours: 10-20 h/week | + | Contact: [[team: |
+ | --></html> | ||
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | + | < |
- | [2] http:// | + | == Lisp / CRAM support assistant (HiWi) == |
+ | Technical support for the group for Lisp and the CRAM framework. \\ | ||
+ | 8+ hours per week for up to 1 year (paid). | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Requirements: |
- | {{ : | + | * Good programming skills |
+ | * Basic ROS knowledge | ||
- | Developing new activities and improving | + | The student will be introduced to the CRAM framework |
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in C/C++ | + | --></html> |
- | * Basic physics/ | + | |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | < |
+ | == Mesh Editing / Mesh Segmentation/ | ||
+ | | ||
- | == Integrating Eye Tracking | + | |
- | {{ : | + | |
- | + | ||
- | Integrating the eye tracker in the [[http:// | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
- | * Gazebo simulator basic tutorials | + | * Familiar with Blender / Maya (or other) |
+ | |||
+ | Contact: [[team/ | ||
+ | --></ | ||
- | Contact: [[team: | ||
- | == Hand Skeleton Tracking Using Two Leap Motion Devices | + | < |
- | {{ :research:leap_motion.jpg? | + | == 3D Animation and Modeling |
+ | {{ :research:kitchen_unreal.jpg? | ||
- | Improving the skeletal | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models in Blender | ||
+ | models against Unreal Engine. | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | Bonus: Working with state of the art 3D Scanners [[https:// |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Experience with Blender |
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Fluid Simulation in Gazebo | + | == Generating Comics about Everyday Experiences of a Robot (BA Thesis) == |
- | {{ : | + | |
- | [[http:// | + | Summary: |
+ | * Query experience data from an existing database | ||
+ | * Retrieve situations of interest | ||
+ | * Recreate the scene in a 3D environment | ||
+ | * Apply a comic shader | ||
+ | * Find good camera position for moments of interest | ||
+ | * Generate a PDF summarizing the experiences | ||
- | Currently there is an [[http:// | + | Contact: [[team:daniel_bessler|Daniel Beßler]] |
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | and should be implemented (PCISPH/ | + | |
- | The interaction between | + | In this thesis, |
+ | The system should be able to generate | ||
- | Another topic would be the visualization | + | The focus of the thesis |
+ | * Develop methods to automatically infer the object class of new objects. This would include perceiving it with state of the art sensors, constructing a 3d model of it and then infer the object class from online information sources. | ||
+ | * In the second step the system should also infer factual knowledge about the object from the internet and assert it into a robotic knowledgebase. Such knowledge could for example include the category of this product, typical object properties like its weight or typical location and much more. | ||
- | Here is a [[https:// | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Knowledge about sensor data processing |
- | * Interest in Fluid simulation | + | * Interest in model construction from sensory data |
- | * Basic physics/ | + | * Work with KnowRob |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | ||
+ | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == Integration von Nährwertangaben für Rezepte in bestehende Website |
- | 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, | + | In dieser Arbeit soll eine bestehende Website mit Nährwertangaben und Zusatzfunktionalität zu Produkten um eine Nährwertangabe zu Rezepten erweitert werden. Es handelt sich um folgende website: productkg.informatik.uni-bremen.de |
- | The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Die Aufgaben dazu sind: |
+ | * Vergleich von bestehenden Lösungen. | ||
+ | * Erweiterung einer Ontologie um Nährwertangaben. | ||
+ | * Erweiterung der Website. | ||
- | {{ : | ||
- | 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: | + | Contact: [[team: |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http:// | ||
- | Contact: [[team: | + | < |
+ | == Development of Modules for Robot Perception (Student Job / HiWi) == | ||
+ | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. One particular research direction, is the combination of computer vision with game engines. | ||
+ | In this context, we are currently offering multiple Hiwi positions / student jobs for the following tasks: | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | Requirements: |
+ | * Experience in C++. | ||
+ | * Basic understanding of the ROS middleware and Linux. | ||
+ | The spoken language in this job is german or english, based on your preference. | ||
- | 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, | + | Contact: [[team: |
+ | --></ | ||
- | Requirements: | + | == Game Engine Developer and 3D-Modelling |
- | * Good programming skills in C/C++ | + | A recent development |
- | * strong background | + | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires a high degree of specialized game engine plugins that can simulate certain aspects of our research. Another important task is the creation of 3d models. |
- | * ROS, OpenCV, PCL | + | |
- | Contact: [[team: | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
+ | * Modelling of objects for the use in Unreal Engine 4. | ||
+ | * Creation of specific simulation aspects in Unreal Engine 4. For example the development of interactable objects. | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Requirements: |
- | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. | |
- | 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, | + | * Experience |
- | + | ||
- | Requirements: | + | |
- | * Good programming skills in C/C++ | + | |
- | * strong background | + | |
- | * 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 | + | |
- | Requirements: | + | The spoken language |
- | * Good programming skills | + | |
- | * strong background in 3D vision | + | |
- | * basic knowledge of ROS, OpenCV, PCL | + | |
- | Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
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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