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Research Assistant Robotics

Work­ing field:

Rese­arch and teach­ing at the Chair; rese­arch in the field of motion gen­er­a­tion in robots with spe­cial empha­sis on manip­u­la­tion; the work com­bines path plan­ning, AI plan­ning, con­trol, per­cep­tion, and tra­ject­ory optim­iz­a­tion.

Require­ments:

Suc­cess­fully com­ple­ted uni­ver­sity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence or a rela­ted sub­ject, out­stand­ing res­ults desi­red; excel­lent know­ledge of and exper­i­ence with plan­ning, con­trol, manip­u­la­tion, com­puter vis­ion, machine learn­ing, prior know­ledge of object-ori­ented pro­gram­ming; excel­lent Eng­lish skills

 

Further details

Computational Biology (student assistant)

Position: Student research assistant (only for students of Universities in Berlin)

Topic: Protein structure prediction

 

The Robotics and Biology Lab conducts innovative research in protein structure prediction and protein flexibility. We are currently looking for motivated students that support our effort in entering the 12th community-wide experiment on the Critical Assessment on Protein Structure prediction (CASP http://predictioncenter.org).

The successful applicant will be involved in developing and implementing a novel protein structure prediction framework. We offer the opportunity to become part of a team that conducts cutting-edge research in structure prediction.

Strong programming skills in C/C++ are required. Experience with Python and/or experience with programming of large dedicated compute clusters is a plus. Familiarity with one of the following research areas is helpful, but not required: robotics, AI, machine learning, protein structure prediction, protein docking, protein flexibility.

If you have questions regarding the position, please contact:

Mahmoud Mabrouk or Kolja Stahl, Tel: 030-314 73118

 

Please email your application, including cover letter, CV, and other supporting material as a single PDF file to robotics@robotics.tu-berlin.de.

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Robotics (student assistant)

Position: Student research assistant (only for students of Universities in Berlin)

Topic: Robotics

We – the Robotics and Biology Lab – are looking for enthusiastic students that help us improving the capabilities of our robot platforms. We offer a flexible, collaborative work environment and the opportunity to learn and gain valuable experience in a wide range of robot-related topics.

 

Possible tasks/projects:

  •     building soft robotic hands
  •     conducting robotic experiments
  •     development and testing of perception, planning, and control software
  •     extension of our robot simulation framework
  •     integration and enhancement of hardware drivers
  •     teaching support

 

Required skills:

  •     excellent C++ and/or python coding abilities
  •     comfortable operating under Linux

 

Nice to have skills:

  •     experience with rubber molding (silicone rubber, vacuum casting)
  •     experience with soldering of small components (custom PCBs)
  •     knowledge of the fundamentals of robotics (e.g. kinematics, dynamics, planning, probabilistic methods, etc.)
  •     experience using real-life sensor data and dealing with error / uncertainty
  •     experience controlling robot arms
  •     experience using computer vision (camera, Kinect)
  •     experience using machine learning algorithms
  •     experience with the robotics/vision software packages: ROS, OpenCV, PCL
  •    experience with computer graphics and physics engines: Blender, Bullet, PhysX
  •     experience using machine learning software: scikit-learn, Theano

 

If you fulfill some of the above mentioned requirements please email your application, including cover letter, CV and other supporting material as a single PDF file to .

 

For further information about what we are doing take a look at: robotics.tu-berlin.de

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Zusatzinformationen / Extras

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Professor Dr. Oliver Brock

Office hours
Friday 10-12,
please make an
appointment

Administration

Jana Pilz
Tel. +49 30 314-73 110
Fax +49 30 314-21 116
Room MAR 5.032

Address

TU Berlin
Fakultät IV, MAR 5-1
Marchstraße 23
10587 Berlin
Germany