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--- jobs [2015/03/19 13:20] – [Theses and Jobs] raider
+++ jobs [2023/06/19 13:41] – [Open researcher positions] dziomba
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-~~NOTOC~~
-=====Theses and 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.
+=====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)“  (salary scale TV-L 14 - 100%) ==
-== GPU-based Parallelization of Numerical Optimization Techniques (BA/MA/HiWi)==
+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 and data infrastructure FAME offers attractive workplaces, diverse and responsible tasks, and a wide scope of advanced training options.
+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.
-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.
+**Research tasks:**
-Requirements:
+As a PhD with appropriate, proven prior experience, you will take the lead in the integration and evaluation research areas in the FAME project and coordinate the research tasks of the doctoral team (see research tasks in the job offer below).
-  * Skills in numerical optimization algorithms
-  * Good programming skills in Python and C/C++
-Contact: [[team:daniel_nyga|Daniel Nyga]]
+**Your ideal profile:**
+  * PhD in Computer Science (Master, University Diploma)
+  * Outstanding academic achievements e.g. in the field of robotics, AI, perception, programming, etc.
+  * 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
-== Online Learning of Markov Logic Networks for Natural-Language Understanding (MA)==
+Please find the complete job description under the job postings of the University of Bremen and contact us with any questions: ai-office(at)cs[dot]uni-bremen[dot]de.
-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, which allow incremental learning, when new examples come in one-by-one.
-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%)==
-  * Experience in Machine Learning.
-  * Experience with statistical relational learning (e.g. MLNs) is helpful.
-  * Good programming skills in Python.
-Contact: [[team:daniel_nyga|Daniel Nyga]]
+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.
-==HiWi-Position: Knowledge Representation & Language Understanding for Intelligent Robots==
+With cutting-edge laboratories and data infrastructure FAME offers attractive workplaces, diverse and responsible tasks, and a wide scope of advanced training options.
-In the context of the European research project RoboHow.Cog [1,2] we
+We offer three research positions for scientific qualification with the aim of obtaining a doctoral degree (salary scale TV-L 13 - 100%) at the next possible date for the period of three years.
-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.
-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's, Master's or Diploma Theses.
+**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 "intuitive theories", for simple tasks in the kitchen
+  * 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
-Tasks:
+**Your ideal profile:**
-  * Implementation of an interface to the Robot Operating System (ROS).
+  * University degree in Computer Science (Master, Diploma) or a comparable degree
-  * Linkage of the knowledge base to the executive of the robot.
+  * Outstanding academic achievements e.g. in the field of robotics, AI, perception, programming, etc.
-  * Support for the scientific staff in extending and integrating components onto the robot platform PR2.
+  * 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
-Requirements:
+Please find the complete job description under the [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/2543?cHash=148779730d5c41eb546a7bfed0c40ce3|job postings]] of the University of Bremen and contact us with any questions: ai-office(at)cs[dot]uni-bremen[dot]de.
-  * Studies in Computer Science (Bachelor's, Master's or Diploma)
-  * 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:daniel_nyga|Daniel Nyga]]
-[1] www.robohow.eu\\
-[2] http://www.youtube.com/watch?v=0eIryyzlRwA
-== Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA/HiWi)==
+<html><!--
- {{ :research:gz_env1.png?200|}}
+== Physics-based grasping in VR with finger tracking(Student Job / HiWi) ==
-Developing new activities and improving the current simulation framework done under the [[http://gazebosim.org/|Gazebo]] robotic simulator. Creating a custom GUI for the game, in order to launch new scenarios, save logs etc.
+Implementing physics-based grasping models in virtual environments,
+using Manus VR.
 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:andrei_haidu|Andrei Haidu]]
+--></html>
-== Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)==
- {{ :research:eye_tracker.png?200|}}
-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.
+<html><!--
+== Lisp / CRAM support assistant (HiWi) ==
+Technical support for the group for Lisp and the CRAM framework. \\
++ hours per week for up to 1 year (paid).
 Requirements:
-  * Good programming skills in C/C++
+  * Good programming skills in Common Lisp
-  * Gazebo simulator basic tutorials
+  * Basic ROS knowledge
-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.
-== Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)==
+Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]]
- {{ :research:leap_motion.jpg?200|}}
+--></html>
-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.
+<html><!--
+== Mesh Editing / Mesh Segmentation/Cutting (Student Job / HiWi)==
+ {{ :research:human_hand_cutting.png?150|}}
-The tracked hand can then be used as input for the Kitchen Activity Games framework.
+ Editing and cutting a human mesh into different parts in Blender / Maya (or other).
 Requirements:
-  * Good programming skills in C/C++
+  * Good knowledge in 3D Modeling
+  * Familiar with Blender / Maya (or other)
-Contact: [[team:andrei_haidu|Andrei Haidu]]
+Contact: [[team/mona_abdel-keream|Mona Abdel-Keream]]
+--></html>
-== Fluid Simulation in Gazebo (BA/MA)==
- {{ :research:fluid.png?200|}}
-[[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.
+<html><!--
+== 3D Animation and Modeling (Student Job / HiWi)==
+ {{ :research:kitchen_unreal.jpg?200|}}
-Currently there is an [[http://gazebosim.org/tutorials?tut=fluids&cat=physics|experimental version]] of fluids  in Gazebo, using the [[http://onezero.ca/fluidix/|Fluidix]] library to run the fluids computation on the GPU.
+Developing and improving existing or new 3D (static/skeletal)
+models in Blender / Maya (or other). Further importing and testing the
+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://www.goscan3d.com/|Go!SCAN]] for creating sketching new models.
-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 (not taking into account pressure and other forces).
+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 [[http://www.ogre3d.org/|OGRE]] is used.
+Contact: [[team:andrei_haidu|Andrei Haidu]]
+--></html>
-Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo.
+== Generating Comics about Everyday Experiences of a Robot (BA Thesis) ==
-Requirements:
+Summary:
-  * Good programming skills in C/C++
+  * Query experience data from an existing database
-  * Interest in Fluid simulation
+  * Retrieve situations of interest
-  * Basic physics/rendering engine knowledge
+  * Recreate the scene in a 3D environment
-  * Gazebo simulator and Fluidix basic tutorials
+  * Apply a comic shader
+  * Find good camera position for moments of interest
+  * Generate a PDF summarizing the experiences as a comic strip
-Contact: [[team:andrei_haidu|Andrei Haidu]]
+Contact: [[team:daniel_bessler|Daniel Beßler]]
+== Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) ==
-== Automated sensor calibration toolkit (MA)==
+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.
-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, it is important that the parameters for the cameras in use are well known. The calibration of a camera is a time consuming task, and the result depends highly on the chosen setup and the accuracy of the operator.
+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.
-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:
+Requirements:
-  * be independent of the camera type
+  * Knowledge about sensor data processing
-  * estimate intrinsic and extrinsic parameters
+  * Interest in model construction from sensory data
-  * calibrate depth images (case of RGB-D)
+  * Work with KnowRob knowledge processing framework
-  * integrate capabilities from Halcon [1]
-  * operate autonomously
-Requirements:
-  * Good programming skills in Python and C/C++
-  * ROS, OpenCV
-[1] http://www.halcon.de/
+Contact: [[team:patrick_mania|Patrick Mania]]
-Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
+== Integration von Nährwertangaben für Rezepte in bestehende Website (BA Thesis) ==
-== On-the-fly 3D CAD model creation (MA)==
+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
-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, completing it's 3D model from multiple views improving redetection. Using the robots manipulator pick up the object and complete the model by viewing it from multiple viewpoints.
+Die Aufgaben dazu sind:
+  * Vergleich von bestehenden Lösungen.
+  * Erweiterung einer Ontologie um Nährwertangaben.
+  * Erweiterung der Website.
-Requirements:
-  * Good programming skills in C/C++
-  * strong background in computer vision
-  * ROS, OpenCV, PCL
-Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
+Contact: [[team:michaela_kümpel|Michaela Kümpel]]
-== 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, detection and tracking of these in the real world.
+<html><!--
+== 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 [[http://robosherlock.org/|RoboSherlock]] which contains many algorithms for computer vision problems (mainly C++)
 Requirements:
-  * Good programming skills in C/C++
+  * Experience in C++.
-  * strong background in computer vision
+  * Basic understanding of the ROS middleware and Linux.
-  * Gazebo, OpenCV, PCL
+The spoken language in this job is german or english, based on your preference.
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]]
+Contact: [[team:patrick_mania|Patrick Mania]]
+--></html>
-== Multi-expert segmentation of cluttered and occluded scenes ==
+== Game Engine Developer and 3D-Modelling  (Student Job / HiWi) ==
+A recent development in the field of AI is the usage of photorealistic simulations, for example to create Digital Twins of environments like households or  [[https://iottechnews.com/news/2021/apr/13/bentley-systems-nvidia-omniverse-create-real-time-digital-twins/|factories]].
+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.
-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, combining the results of multiple segmentation algorithms in order to come up with more reliable object hypotheses.
+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.
+Requirements:
+  * Knowledge of 3D-Modelling tools. Blender would be highly preferred.
+  * Experience in Game Engine development. Ideally Unreal Engine 4 and C++.
-Requirements:
+The spoken language in this job is german or english, based on your preference.
-  * Good programming skills in C/C++
-  * 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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