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--- jobs [2016/02/05 18:23] – [Theses and Jobs] froggy86
+++ 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/master thesis or a job as a student research assistant, you may find some interesting opportunities on this page.
+=====Open researcher positions=====
-== Integrating PR2 in the Unreal Game Engine Framework (BA)==
+== 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%) ==
- {{ :research:unreal_ros_pr2.png?200|}}
-Integrating the [[https://www.willowgarage.com/pages/pr2/overview|PR2]] robot with [[http://www.ros.org/|ROS]] support in the [[https://www.unrealengine.com|Unreal Engine 4]] Framework.
+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.
-Requirements:
+**Research tasks:**
-  * Good programming skills in C/C++
-  * Basic physics/rendering engine knowledge
-  * Basic ROS knowledge
-  * UE4 basic tutorials
-Contact: [[team:andrei_haidu|Andrei Haidu]]
+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).
-== Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)==
+**Your ideal profile:**
- {{ :research:gz_env1.png?200|}}
+  * 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
-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.
+Please find the complete job description under the [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/2545?cHash=10a1b81aaf4d8bd1b434d1380746c64d|job postings]] of the University of Bremen and contact us with any questions: ai-office(at)cs[dot]uni-bremen[dot]de.
-Requirements:
-  * Good programming skills in C/C++
-  * Basic physics/rendering engine knowledge
-  * Gazebo simulator basic tutorials
-Contact: [[team:andrei_haidu|Andrei Haidu]]
-== Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)==
+== 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%)==
- {{ :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.
+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 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.
+**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
+**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, 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
+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.
+=====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.
+<html><!--
+== Physics-based grasping in VR with finger tracking(Student Job / HiWi) ==
+Implementing physics-based grasping models in virtual environments,
+using Manus VR.
 Requirements:
-  * Good programming skills in C/C++
+  * Good C++ programming skills
-  * Gazebo simulator basic tutorials
+  * Familiar with skeletal animations
+  * 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>
-== Hand Skeleton Tracking Using Two Leap Motion Devices (BA/MA)==
- {{ :research:leap_motion.jpg?200|}}
-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><!--
+== Lisp / CRAM support assistant (HiWi) ==
-The tracked hand can then be used as input for the Kitchen Activity Games framework.
+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
+  * 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.
-== Fluid Simulation in Gazebo (BA/MA)==
+Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]]
- {{ :research:fluid.png?200|}}
+--></html>
-[[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><!--
+== Mesh Editing / Mesh Segmentation/Cutting (Student Job / HiWi)==
+ {{ :research:human_hand_cutting.png?150|}}
-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.
+ Editing and cutting a human mesh into different parts in Blender / Maya (or other).
+Requirements:
+  * Good knowledge in 3D Modeling
+  * Familiar with Blender / Maya (or other)
+Contact: [[team/mona_abdel-keream|Mona Abdel-Keream]]
+--></html>
-The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present
-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).
+<html><!--
+== 3D Animation and Modeling (Student Job / HiWi)==
+ {{ :research:kitchen_unreal.jpg?200|}}
-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.
+Developing and improving existing or new 3D (static/skeletal)
+models in Blender / Maya (or other). Further importing and testing the
+models against Unreal Engine.
-Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo.
+Bonus: Working with state of the art 3D Scanners [[https://www.goscan3d.com/|Go!SCAN]] for creating sketching new models.
 Requirements:
-  * Good programming skills in C/C++
+  * Experience with Blender / Maya (or other)
-  * Interest in Fluid simulation
+  * Knowledge of Unreal Engine material / lightning development
-  * Basic physics/rendering engine knowledge
+  * Familiar with version-control systems (git)
-  * Gazebo simulator and Fluidix basic tutorials
+  * Able to work independently with minimal supervision
 Contact: [[team:andrei_haidu|Andrei Haidu]]
+--></html>
+== Generating Comics about Everyday Experiences of a Robot (BA Thesis) ==
-== Automated sensor calibration toolkit (BA/MA)==
+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 as a comic strip
-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.
+Contact: [[team:daniel_bessler|Daniel Beßler]]
-The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2.
+== Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) ==
- {{ :kinect2_calibration_setup_small.jpg?200|}}
+In this thesis, the goal is to make a robotic system learn new objects automatically.
-The system should:
+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.
-  * 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:
+The focus of the thesis would be two-fold:
-  * Good programming skills in Python and C/C++
+  * 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.
-  * ROS, OpenCV
+  * 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.
-[1] http://www.halcon.de/
-Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
+Requirements:
+  * Knowledge about sensor data processing
+  * Interest in model construction from sensory data
+  * Work with KnowRob knowledge processing framework
-== 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, 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.
+Contact: [[team:patrick_mania|Patrick Mania]]
-Requirements:
+== Integration von Nährwertangaben für Rezepte in bestehende Website (BA Thesis) ==
-  * Good programming skills in C/C++
-  * strong background in computer vision
-  * ROS, OpenCV, PCL
-Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
+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
-== Simulation of a robots belief state to support perception(MA) ==
+Die Aufgaben dazu sind:
+  * Vergleich von bestehenden Lösungen.
+  * Erweiterung einer Ontologie um Nährwertangaben.
+  * Erweiterung der Website.
-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.
-Requirements:
+Contact: [[team:michaela_kümpel|Michaela Kümpel]]
-  * Good programming skills in C/C++
-  * strong background in computer vision
-  * Gazebo, OpenCV, PCL
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]]
-== Multi-expert segmentation of cluttered and occluded scenes ==
+<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++)
-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.
+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.
-Requirements:
+Contact: [[team:patrick_mania|Patrick Mania]]
-  * Good programming skills in C/C++
+--></html>
-  * strong background in 3D vision
-  * basic knowledge of ROS, OpenCV, PCL
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]]
+== 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.
+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++.
+The spoken language in this job is german or english, based on your preference.
+Contact: [[team:patrick_mania|Patrick Mania]]

Prof. Dr. hc. Michael Beetz PhD
Head of Institute

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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

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