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--- jobs [2016/01/04 14:03] – [Theses and Jobs] ahaidu
+++ jobs [2022/07/25 11:45] – [Theses and Student Jobs] danielb
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-~~NOTOC~~
-=====Theses and Jobs=====
+=====Open researcher positions=====
+We are currently offering multiple open researcher job positions in the context of our project Intel4CoRo.
+  * [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/1692?cHash=2ea2518f8aabbbdffe491f735265fe6a|Research Assistant (f/m/d) - Salary scale TV-L 13, full time (39,2 hours per week) (A177/22)]]
+  * [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/1694?cHash=e51579e1ef39e9aee3b6248d3bb47856|Research Assistant (f/m/d) - Salary scale TV-L 13, full time (39,2 hours per week) (A178/22)]]
+  * [[https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies-1/job/1727?cHash=fdb16334e55e168829382f9411ef6577|Research Assistant (f/m/d) - Salary scale TV-L 13, part time (19,6 hours per week) (A179/22)]]
+=====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.
-== Integrating PR2 in the Unreal Game Engine Framework (BA)==
+<html><!--
- {{ :research:unreal_ros_pr2.png?200|}}
+== Physics-based grasping in VR with finger tracking(Student Job / HiWi) ==
-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.
+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
-  * Basic ROS knowledge
+  * Experience with simulators/physics-/game- engines
-  * UE4 basic tutorials
+  * 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>
-== Kitchen Activity Games in a Realistic Robotic Simulator (BA/MA)==
- {{ :research:gz_env1.png?200|}}
-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.
+<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
-  * Basic physics/rendering engine knowledge
+  * 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.
-== Integrating Eye Tracking in the Kitchen Activity Games (BA/MA)==
+Contact: [[team:gayane_kazhoyan|Gayane Kazhoyan]]
- {{ :research:eye_tracker.png?200|}}
+--></html>
-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><!--
+== Mesh Editing / Mesh Segmentation/Cutting (Student Job / HiWi)==
+ {{ :research:human_hand_cutting.png?150|}}
+ 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
-  * Gazebo simulator basic tutorials
+  * Familiar with Blender / Maya (or other)
-Contact: [[team:andrei_haidu|Andrei Haidu]]
+Contact: [[team/mona_abdel-keream|Mona Abdel-Keream]]
+--></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><!--
+== 3D Animation and Modeling (Student Job / HiWi)==
+ {{ :research:kitchen_unreal.jpg?200|}}
-The tracked hand can then be used as input for the Kitchen Activity Games framework.
+Developing and improving existing or new 3D (static/skeletal)
+models in Blender / Maya (or other). Further importing and testing the
+models against Unreal Engine.
+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)
+  * Knowledge of Unreal Engine material / lightning development
+  * Familiar with version-control systems (git)
+  * Able to work independently with minimal supervision
 Contact: [[team:andrei_haidu|Andrei Haidu]]
+--></html>
-== Fluid Simulation in Gazebo (BA/MA)==
+== Representing knowledge in a robot-agnostic ontology system for assistive robotics (MA Thesis) ==
- {{ :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.
+The thesis will be jointly supervised by German Aerospace Center (DLR) in Munich and the Institute for Artificial Intelligence (IAI) at the University of Bremen.
-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.
+Summary:
+  * Investigate about existing ontologies, like the Socio-physical Model of Activities (SOMA) from the University of Bremen.
+  * Refactor an existing knowledge database (known as the Object DataBase, ODB) used by the DLR into an ontology.
+  * Use the ontology to design tasks in the assistive robotics domain using assistive robots provided by the DLR
-The computational method for the fluid simulation is SPH (Smoothed-particle Dynamics), however newer and better methods based on SPH are currently present
+Full offer:
-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).
+{{ :teaching:offer_2020-01_op2_wedanjustin.pdf |}}
-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:daniel_bessler|Daniel Beßler]]
-Here is a [[https://vimeo.com/104629835|video]] example of the current state of the fluid in Gazebo.
+== Linking saref to SOMA (BA Thesis) ==
-Requirements:
+Wissensrepräsentation: Semantische Integration der saref Ontology (https://ontology.tno.nl/saref/) für smart devices in SOMA (https://ease-crc.github.io/soma/). Ziel dabei ist es, dass Roboter anhand von ein paar Beispielszenarien (z.B. Zubereitung von Popcorn/ Pizza) Fehler autonom finden können (z.B. Electricity ist aus -> deswegen wird der Herd nicht warm und Popcorn poppt nicht).
-  * Good programming skills in C/C++
-  * Interest in Fluid simulation
-  * Basic physics/rendering engine knowledge
-  * Gazebo simulator and Fluidix basic tutorials
-Contact: [[team:andrei_haidu|Andrei Haidu]]
+Aufgaben:
+  * Arbeit mit Wissensrepräsentation und Wissensgraphen
+  * Wissensakquisition aus web-Quellen
+  * Abfrage mit KnowRob (Prolog) für autonome Roboter
+Contact: [[team:michaela_kümpel|Michaela Kümpel]]
-== Automated sensor calibration toolkit (BA/MA)==
+== Case Study: Wissen zu Produkt-Aufbewahrungsorten aus dem Internet beziehen (BA 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, 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.
+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, v.a. für autonome Roboter...)
-The topic for this thesis is to develop an automated system for calibrating cameras, especially RGB-D cameras like the Kinect v2.
+Aufgaben:
+  * Wissensakquise aus dem Internet
+  * Wissensrepräsentation/ Modellierung: Ontologisierung des Wissens
+  * Vergleich mit bestehenden Ontologien/ Arbeiten und manuell erstellten Ontologien
+  * Sinnvolle, automatisierte Abfrage des neu gewonnenen Wissens
- {{ :kinect2_calibration_setup_small.jpg?200|}}
-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:michaela_kümpel|Michaela Kümpel]]
-  * Good programming skills in Python and C/C++
-  * ROS, OpenCV
-[1] http://www.halcon.de/
+== Integration of novel objects into Digital Twin Knowledge Bases (MA Thesis) ==
-Contact: [[team:alexis_maldonado|Alexis Maldonado]] and [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
+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, 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.
 Requirements:
-  * Good programming skills in C/C++
+  * Knowledge about sensor data processing
-  * strong background in computer vision
+  * Interest in model construction from sensory data
-  * ROS, OpenCV, PCL
+  * Work with KnowRob knowledge processing framework
-Contact: [[team:thiemo_wiedemeyer|Thiemo Wiedemeyer]]
-== Simulation of a robots belief state to support perception(MA) ==
+Contact: [[team:patrick_mania|Patrick Mania]]
-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:
-  * Good programming skills in C/C++
+  * Knowledge of 3D-Modelling tools. Blender would be highly preferred.
-  * strong background in 3D vision
+  * Experience in Game Engine development. Ideally Unreal Engine 4 and C++.
-  * basic knowledge of ROS, OpenCV, PCL
-Contact: [[team:ferenc_balint-benczedi|Ferenc Balint-Benczedi]]
-== Robot control systems in underwater robotics ==
-The use of robots in underwater missions shows a challenging task. The dynamic terrain and its different conditions makes it difficult for robots to perform tasks correctly. In order to accomplish tasks in a proper way, the robot control routines have to be coordinated. The topic of this thesis is to develop robot control systems for underwater robotics in an underwater mission in order to navigate and to execute tasks correctly in the terrain.
-Requirements:
+The spoken language in this job is german or english, based on your preference.
-  * Good programming skills in C/C++ or JAVA
-  * basic knowledge of ROS, OpenCV
-Contact: [[team:fereshta_yazdani|Fereshta Yazdani]]
+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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