As a research associate at the Institute for Artificial Intelligence, you will develop systems for automated knowledge representation and knowledge acquisition, which combine the human ability of understanding language, perceiving objects and learning from experience. In particular, intelligent robots are to be endowed with the capability of autonomously acquire knowledge in order to robustly act in human environments and competently and successfully achieve everyday human-scale tasks.

In particular, your challenges comprise the following:

• the development and implementation of probabilistic models and algorithms for learning and reasoning in complex scenarios of intelligent service robots,
• the creation and maintenance of software documentation as well as the presentation of research results at top-tier international conferences,
• self-organized and ambitious work both individually and in a team of researchers,
• the authoring of research grant proposals.

Prerequisites:

• Successfully completed Master's degree (or equivalent) in Computer Science with a major in Artificial Intelligence/Machine Learning,
• very good skills in Machine Learning and Data Mining; esp. experience with probabilistic graphical models (Bayesian networks/Markov random fields/Markov logic networks) and related formalisms,
• very good programming skills in the Python/Cython/C/C++ programming languages and respective libraries for scientific computing (numpy/scipy/sympy),
• experience in natural-language understanding and semantic modeling helpful.

Besides the willingness and ability to quickly dive into new and complex research scenarios and topics, we expect organizational skills, the ability to work in a team and high commitment and dedication to you research. Very good skills of the English language is required.

Research associate with the Institute for Artificial Intelligence at the University of Bremen, Germany,

Salary is according to the German Federal pay scale, TV-L 13, full-time. The position is available as soon as possible.

Please send your application (cover letter, CV, certificates, project references, etc) under reference number A192/18 to: ai-office@cs.uni-bremen.de

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.

In the scope of the CRC Farbige Zustände we use machine-learning techniques and novel high-troughput methods to find new materials. To present the project to the scientific community as well as to the non-scientific audience, we want to visualize its ideas and concepts in terms of interactive web applications. Your task would be to design and develop visualization tools that allow the interaction with the data of the project. You will work with Javascript/AngularJS/NodeJS and MongoDB, so it would be helpful if you already have experience in those fields. Creativity in developing new visualizations is demanded just as much as good programming skills.

Perspective of future BA/MA topics in this project!

If you're interested, contact Mareike Picklum

Developing and improving existing 3D models in Blender / Maya (or other). Importing the models in Unreal Engine, where the Materials and Lightning should be improved to be close as possible to realism.

Bonus: Working with state of the art 3D Scanners Go!SCAN for creating new realistic models.

Requirements:

• Experience with Blender / Maya (or other)
• Knowledge of Unreal Engine material / lightning development

Contact: Andrei Haidu

Creating new user interfaces (panel customization) for various internal plugins using the Unreal C++ framework SLATE.

Requirements:

• Good C++ programming skills
• Familiar with the SLATE framework
• Familiar with Unreal Engine API

Contact: Andrei Haidu

Integrating the PR2 robot with ROS support in the Unreal Engine 4 Framework.

Requirements:

• Good programming skills in C/C++
• Basic physics/rendering engine knowledge
• Basic ROS knowledge
• UE4 basic tutorials

Contact: Andrei Haidu

The objective of the project is to implement var- ious human-like grasping approaches in a game developed using Unreal Engine.

The game consist of a household environment where a user has to execute various given tasks, such as cooking a dish, setting the table, cleaning the dishes etc. The interaction is done using various sensors to map the users hands onto the virtual hands in the game.

In order to improve the ease of manipulating objects the user should be able to switch during runtime the type of grasp (pinch, power grasp, precision grip etc.) he/she would like to use.

Requirements:

• Good programming skills in C++
• Good knowledge of the Unreal Engine API.
• Experience with skeletal control / animations / 3D models in Unreal Engine.

Contact: Andrei Haidu