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- | ~~NOTOC~~ | ||
- | =====Theses and Jobs===== | ||
- | If you are looking for a bachelor/ | ||
+ | =====Open researcher positions===== | ||
+ | ====Research assistants (f/m/d)==== | ||
+ | At the University of Bremen, the Institute for Artificial Intelligence (Prof. Michael Beetz) – part of the department Mathematics and Computer Science FB3 - calls for applications in the area of Artificial Intelligence and Robotics – under the condition of job release – for several positions in the DFG funded Collaborative Research Center 1320 “Everyday Activity Science and Engineering (EASE): | ||
- | == HiWi-Position: | + | **Research assistants (f/m/d)** |
- | When dealing with real-world robot tasks, simulation that is close to reality is key to test behavior-driven, smart robot plans before they are deployed on an actual physical system. In this HiWi job, I am looking for a competent student | + | - Salary scale TV-L – 13 (100 %)\\ |
+ | for the period to June 30, 2025. | ||
- | Requirements: | + | The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, § 2 (1) WissZeit VG (Wissenschaftszeitvertragsgesetz, |
- | * Experience | + | EASE pursues an interdisciplinary approach to the principles of human information processing |
- | * Passion for Robotics | + | |
- | * Ideally programming skills | + | |
- | Contact: [[team: | + | Successful candidates will support the expansion of the EASE central laboratory and conduct research in the following areas: |
+ | **Tasks:** | ||
+ | * knowledge-based robot control systems | ||
+ | * machine learning methods to successfully perform and improve robot-based everyday activities | ||
+ | * representation of everyday activities and their implementation as knowledge bases and virtual environments | ||
+ | * Knowledge modelling, representation and construction of knowledge bases for everyday activities | ||
+ | * cognitive architectures for robotic agents | ||
+ | * Integration of camera-based perception into simulation and rendering methods for everyday activities in household environments | ||
+ | * web-based experimental environments based on semantic digital twins | ||
+ | * scalable cloud-based knowledge representation and knowledge processing system based on KnowRob | ||
+ | * definitions of ontologies for everyday activities | ||
- | == GPU-based Parallelization | + | **Your ideal profile: |
+ | * University degree in computer science (master' | ||
+ | * Very good academic achievements in the fields | ||
+ | * 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 in the field of AI and/or robotics. The programming languages include, for example: Python, C++, LISP, Prolog | ||
+ | * Excellent English skills, both written and spoken | ||
+ | * Independent and committed research in close cooperation with internal and external cooperation partners | ||
+ | * High level of commitment, flexibility and team spirit | ||
- | 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 | + | If you think that your knowledge and skills match part of the task areas, we are looking |
+ | forward to your application. | ||
+ | We offer a team-oriented, attractive and future-oriented research environment | ||
- | Requirements: | + | **General remarks:** |
- | | + | The University is committed to a policy of providing equal employment opportunities for both men and women alike, and therefore strongly encourages women to apply for the positions offered. Applicants with disabilities will be considered preferentially |
- | | + | |
- | Contact: [[team: | + | If you have any questions regarding the positions, please contact Prof. Michael Beetz, PhD (< |
- | == Online Learning | + | Applications including a cover letter, CV, publication list, copies |
- | 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, | + | Prof. Michael Beetz, PhD\\ |
+ | Artificial Intelligence / Universität Bremen\\ | ||
+ | Am Fallturm 1\\ | ||
+ | 28359 Bremen\\ | ||
+ | Germany | ||
- | Requirements: | + | or by Email (including up to two PDF files; reference number A92/21) to: < |
- | * Experience in Machine Learning. | + | |
- | * Experience with statistical relational learning | + | |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | ||
+ | The costs of application and presentation cannot be reimbursed. We kindly ask you to submit only copies (no folders) of your application documents, as these will be destroyed after the selection process has been completed. | ||
- | ==HiWi-Position: | ||
- | In the context of the European research project RoboHow.Cog [1,2] we | + | =====Theses and Student Jobs===== |
- | are investigating methods | + | If you are looking |
- | The Institute for Artificial Intelligence is hiring a student researcher for the | ||
- | 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' | + | == Physics-based grasping in VR with finger tracking(Student Job / HiWi) == |
- | Tasks: | + | Implementing physics-based grasping models in virtual environments, |
- | * Implementation of an interface to the Robot Operating System (ROS). | + | using Manus VR. |
- | * 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 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: |
- | Contact: [[team: | ||
- | [1] www.robohow.eu\\ | ||
- | [2] http:// | ||
+ | < | ||
+ | == Lisp / CRAM support assistant (HiWi) == | ||
- | == Kitchen Activity Games in a Realistic Robotic Simulator (BA/ | + | Technical support for the group for Lisp and the CRAM framework. |
- | {{ : | + | 8+ hours per week for up to 1 year (paid). |
- | + | ||
- | Developing new activities | + | |
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good programming skills in Common Lisp |
- | * Basic physics/ | + | * Basic ROS knowledge |
- | * Gazebo simulator basic tutorials | + | |
- | Contact: [[team:andrei_haidu|Andrei Haidu]] | + | 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]] | ||
+ | --></ | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | + | < |
- | {{ :research:eye_tracker.png?200|}} | + | == Mesh Editing / Mesh Segmentation/ |
+ | {{ :research:human_hand_cutting.png?150|}} | ||
- | Integrating the eye tracker | + | |
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 | + | == 3D Animation and Modeling |
- | {{ :research:leap_motion.jpg? | + | {{ :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 (BA/MA)== | ||
- | {{ : | ||
- | [[http:// | + | == Linking saref to SOMA (BA Thesis) == |
- | Currently there is an [[http://gazebosim.org/tutorials? | + | Wissensrepräsentation: |
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Aufgaben: |
- | and should be implemented | + | * Arbeit mit Wissensrepräsentation und Wissensgraphen |
+ | * Wissensakquisition aus web-Quellen | ||
+ | * Abfrage mit KnowRob | ||
- | 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). | + | Contact: [[team: |
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine [[http:// | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA Thesis) == |
- | Here is a [[https:// | + | In dieser Thesis soll untersucht werden, ob die Autonomie von Robotern durch Integration von Wissen zu Aufbewahrungsorten von Produkten aus dem Internet erhöht werden kann. Es gibt verschiedene websites, die Wissen dazu bereitstellen. Dieses Wissen soll von den websites abgefragt und anschließend sinnvoll ontologisiert werden. Anhand verschiedener Fragen werden die Ergebnisse evaluiert (Menge der erworbenen Informationen/ Nutzen der Information, |
- | Requirements: | + | Aufgaben: |
- | * Good programming skills in C/C++ | + | * Wissensakquise aus dem Internet |
- | * Interest in Fluid simulation | + | * Wissensrepräsentation/ |
- | * Basic physics/rendering engine knowledge | + | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien |
- | * Gazebo simulator and Fluidix basic tutorials | + | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens |
- | Contact: [[team: | ||
+ | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | 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 this thesis, the goal is to make a robotic system learn new objects automatically. |
+ | The system should be able to generate | ||
- | The topic for this thesis | + | The focus of the thesis |
+ | * Develop methods | ||
+ | * In the second step the system | ||
- | {{ : | ||
- | 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: | + | Requirements: |
- | * Good programming skills | + | * Knowledge about sensor data processing |
- | * ROS, OpenCV | + | * Interest |
+ | * Work with KnowRob knowledge processing framework | ||
- | [1] http:// | ||
- | Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team: | + | Contact: [[team:patrick_mania|Patrick Mania]] |
- | == On-the-fly 3D CAD model creation (MA)== | ||
- | Create models during runtime | + | == Development of Modules |
+ | 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 | ||
+ | In this context, we are currently offering | ||
+ | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly C++) | ||
+ | * Software development for our Robot Perception framework [[http:// | ||
- | Requirements: | + | Requirements: |
- | * Good programming skills | + | * Experience |
- | * strong background | + | * Basic understanding of the ROS middleware and Linux. |
- | * ROS, OpenCV, PCL | + | The spoken language |
- | Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]] | + | Contact: [[team:patrick_mania|Patrick Mania]] |
- | == Simulation of a robots belief state to support perception(MA) == | + | == Game Engine Developer and 3D-Modelling |
+ | A recent development in the field of AI is the usage of photorealistic simulations, | ||
+ | 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. | ||
- | Create a simulation environment that represents | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
+ | * Modelling of objects | ||
+ | * Creation | ||
- | Requirements: | + | Requirements: |
- | * Good programming skills in C/C++ | + | * Knowledge of 3D-Modelling tools. Blender would be highly preferred. |
- | * strong background | + | * Experience |
- | * 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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