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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): | ||
- | == GPU-based Parallelization of Numerical Optimization Techniques | + | **Research assistants |
- | 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 | + | - Salary scale TV-L – 13 (100 %)\\ |
+ | for the period | ||
- | Requirements: | + | The employment is fixed-term and governed by the Act of Academic Fixed-Term Contract, § 2 (1) WissZeit VG (Wissenschaftszeitvertragsgesetz, |
- | * Skills | + | EASE pursues an interdisciplinary approach to the principles of human information processing |
- | * Good programming skills | + | |
- | Contact: [[team: | + | Successful candidates will support the expansion of the EASE central laboratory and conduct research in the following areas: |
- | == Online Learning | + | **Tasks: |
+ | * knowledge-based robot control systems | ||
+ | * machine learning methods to successfully perform and improve robot-based everyday activities | ||
+ | * representation | ||
+ | * 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 | ||
- | Markov Logic Networks | + | **Your ideal profile: |
+ | * University degree in computer science | ||
+ | * 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 | ||
+ | * Excellent programming skills | ||
+ | * Excellent English skills, both written and spoken | ||
+ | * Independent and committed research | ||
+ | * High level of commitment, flexibility and team spirit | ||
- | Requirements: | + | If you think that your knowledge and skills match part of the task areas, we are looking |
- | * Experience in Machine Learning. | + | forward to your application. |
- | * Experience | + | We offer a team-oriented, |
- | * Good programming skills in Python. | + | |
- | Contact: [[team: | + | **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 in case of equal qualifications and aptitudes. The University of Bremen explicitly invites individuals with migration backgrounds to apply. | ||
+ | If you have any questions regarding the positions, please contact Prof. Michael Beetz, PhD (< | ||
- | ==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots== | + | Applications including a cover letter, CV, publication list, copies of degree certificates, |
- | In the context of the European research project RoboHow.Cog [1,2] we | + | Prof. Michael Beetz, PhD\\ |
- | are investigating methods for combining multimodal sources of knowledge (e.g. video, natural-language recipes or computer games), in order to enable mobile robots to autonomously acquire new high level skills like cooking meals or straightening up rooms. | + | Artificial Intelligence / Universität Bremen\\ |
+ | Am Fallturm 1\\ | ||
+ | 28359 Bremen\\ | ||
+ | Germany | ||
- | The Institute for Artificial Intelligence is hiring a student researcher for the | + | or by Email (including up to two PDF files; reference number A92/21) to: < |
- | development and the integration of probabilistic methods in AI, which enable intelligent robots | + | |
- | This HiWi-Position can serve as a starting point for future Bachelor' | ||
- | Tasks: | + | The costs of application and presentation cannot be reimbursed. We kindly ask you to submit only copies |
- | * Implementation | + | |
- | * Linkage | + | |
- | * Support for the scientific staff in extending and integrating components onto the robot platform PR2. | + | |
- | Requirements: | ||
- | * Studies in Computer Science (Bachelor' | ||
- | * Basic skills in Artificial Intelligence | ||
- | * Optional: basic skills in Probability Theory | ||
- | * Optional: basic skills in Machine Learning | ||
- | * Good programming skills in Python and Java | ||
- | Hours: 10-20 h/week | + | =====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. | |
- | Contact: [[team: | + | |
- | + | ||
- | [1] www.robohow.eu\\ | + | |
- | [2] http://www.youtube.com/ | + | |
- | == Kitchen Activity Games in a Realistic Robotic Simulator | + | < |
- | {{ : | + | == Physics-based grasping |
- | Developing new activities and improving the current simulation framework done under the [[http:// | + | Implementing physics-based grasping models |
+ | using Manus VR. | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good C++ programming skills |
- | * Basic physics/rendering engine knowledge | + | * Familiar with skeletal animations |
- | * Gazebo simulator basic tutorials | + | * Experience with simulators/physics-/game- engines |
+ | * Familiar with Unreal Engine API | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
Contact: [[team: | Contact: [[team: | ||
+ | --></ | ||
- | == Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)== | ||
- | {{ : | ||
- | Integrating | + | < |
+ | == 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). | ||
Requirements: | Requirements: | ||
- | * Good programming skills in C/C++ | + | * Good programming skills in Common Lisp |
- | * Gazebo simulator basic tutorials | + | * Basic ROS knowledge |
- | Contact: [[team: | + | 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. |
- | == Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)== | + | Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]] |
- | | + | --></ |
- | Improving the skeletal tracking offered by the [[https://developer.leapmotion.com/|Leap Motion SDK]], by using two devices (one tracking vertically the other horizontally) and switching between them to the one that has the best current view of the hand. | + | < |
+ | == Mesh Editing | ||
+ | {{ : | ||
- | The tracked hand can then be used as input for the Kitchen Activity Games framework. | + | |
Requirements: | Requirements: | ||
- | * Good programming skills | + | * Good knowledge |
+ | * Familiar with Blender | ||
- | Contact: [[team: | + | Contact: [[team/ |
+ | --></ | ||
- | == Fluid Simulation in Gazebo (BA/MA)== | ||
- | {{ : | ||
- | [[http://gazebosim.org/|Gazebo]] currently only supports rigid body physics engines (ODE, Bullet etc.), however in some cases fluids are preferred in order to simulate as realistically as possible the given environment. | + | < |
+ | == 3D Animation and Modeling (Student Job / HiWi)== | ||
+ | | ||
- | Currently there is an [[http:// | + | Developing and improving existing or new 3D (static/skeletal) |
+ | models | ||
+ | models against Unreal Engine. | ||
- | The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present | + | Bonus: Working with state of the art 3D Scanners [[https:// |
- | and should be implemented (PCISPH/IISPH). | + | |
- | The interaction between the fluid and the rigid objects is a naive one, the forces and torques are applied only from the particle collisions | + | Requirements: |
+ | * Experience with Blender / Maya (or other) | ||
+ | * Knowledge of Unreal Engine material / lightning development | ||
+ | * Familiar with version-control systems (git) | ||
+ | * Able to work independently with minimal supervision | ||
- | Another topic would be the visualization of the fluid, currently is done by rendering every particle. For the rendering engine | + | Contact: |
+ | --></ | ||
- | Here is a [[https:// | + | == Linking saref to SOMA (BA Thesis) == |
- | Requirements: | + | Wissensrepräsentation: |
- | * Good programming skills in C/C++ | + | |
- | * Interest | + | |
- | * Basic physics/rendering engine knowledge | + | |
- | * Gazebo simulator and Fluidix basic tutorials | + | |
- | Contact: [[team: | + | Aufgaben: |
+ | * Arbeit mit Wissensrepräsentation und Wissensgraphen | ||
+ | * Wissensakquisition aus web-Quellen | ||
+ | * Abfrage mit KnowRob (Prolog) für autonome Roboter | ||
+ | Contact: [[team: | ||
- | == Automated sensor calibration toolkit | + | == Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen |
- | 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 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/ |
- | The topic for this master thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2. | + | Aufgaben: |
+ | * Wissensakquise aus dem Internet | ||
+ | * Wissensrepräsentation/ | ||
+ | * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien | ||
+ | * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens | ||
- | The system should be: | ||
- | * independent of the camera type | ||
- | * estimate intrinsics and extrinsics | ||
- | * have depth calibration (case of RGBD) | ||
- | * integrate capabilities from Halcon [1] | ||
- | Requirements: | + | Contact: [[team: |
- | * Good programming skills in Python and C/C++ | + | |
- | * ROS, OpenCV | + | |
- | [1] http:// | + | == Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) == |
- | Contact: [[team: | + | In this thesis, the goal is to make a robotic system learn new objects automatically. |
+ | The system should be able to generate the necessary models required for re-detecting it again and also consult online information sources to automatically acquire knowledge about it. | ||
- | == On-the-fly 3D CAD model creation (MA)== | + | The focus of the thesis would be two-fold: |
+ | * 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. | ||
- | 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: | + | Requirements: |
- | * Good programming skills in C/C++ | + | * Knowledge about sensor data processing |
- | * strong background | + | * Interest |
- | * ROS, OpenCV, PCL | + | * Work with KnowRob knowledge processing framework |
- | Contact: [[team: | ||
- | == Simulation of a robots belief state to support perception(MA) == | + | Contact: [[team: |
- | 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: | + | == Development of Modules for Robot Perception (Student Job / HiWi) == |
- | * Good programming skills in C/C++ | + | 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. |
- | * strong background in computer vision | + | In this context, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
- | * Gazebo, OpenCV, PCL | + | * Software development to create Interfaces between ROS and Unreal Engine 4 (mainly |
+ | * Software development for our Robot Perception framework [[http:// | ||
- | Contact: [[team: | + | 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. | ||
- | == Multi-expert segmentation of cluttered and occluded scenes == | + | Contact: [[team: |
- | 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 | + | == Game Engine Developer |
+ | A recent development | ||
+ | In our research group, we focus on the development of modern robots that can make use of the potential of game engines. This requires | ||
- | Requirements: | + | Therefore, we are currently offering multiple Hiwi positions / student jobs for the following tasks: |
- | * Good programming skills | + | * Modelling of objects for the use in Unreal Engine 4. |
- | * strong background | + | * Creation of specific simulation aspects |
- | * basic knowledge | + | |
+ | Requirements: | ||
+ | * Knowledge | ||
+ | * Experience in Game Engine development. Ideally Unreal Engine 4 and C++. | ||
- | Contact: [[team: | + | The spoken language in this job is german or english, based on your preference. |
+ | 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
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