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Employee Technical Support - salary grade E11 TV-L Berliner Hochschulen

Reference number: IV-442/21 (starting at the earliest possible / permanent)

Closing date for applications 31/12/2021



Working field:

  • Cooperation in an international team of researchers
  • Conception, construction, implementation and evaluation of experiments with research robots
  • Planning, purchasing, installation, and maintenance of research infrastructure
  • Design and production of 3D-printed parts
  • Development of mechatronic systems
  • Design of printed circuit boards
  • Maintenance of a computing cluster


Requirements:

  • Technical education (successfully completed degree qualifying for entry into the upper grade of civil service resp. into the equivalent level of qualification [FH-Diplom, BSc in the fields of Computer Science, Technical Computer Science or Electrical Engineering]) or employees with equal abilities and experience
  • abilities and experience in accordance with the responsibilities above
  • The use and development of mechatronic systems (robotics, electronics, mechanics)
    Very good programming skills in C++, Java, Python, PHP
    Good knowledge of Linux, Windows, CMS-systems, and CAD software
    Knowledge in software engineering desirable
    Very good spoken and written English is required
  • Knowledge of German spoken and written required or willingness to acquire it


Please send your application with the reference number IV-442/21 and the usual documents (combined in a single pdf file, max. 5 MB) exclusively by email to Prof. Dr. Oliver Brock at

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.


To ensure equal opportunities between women and men, applications by women with the required
qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin
values the diversity of its members and is committed to the goals of equal opportunities.

Research Assistant - salary grade E 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate) - CompBio (IV-304/21)

The Robotics and Biology Laboratory offers a collaborative and productive environment for a scientific career, has excellent equipment and facilities, and maintains close ties with research labs around the world. 

Reference number: IV-304/21 (starting at the earliest possible / limited for 5 years)

Closing date for applications: 15/12/2021


Working field:

  • Research in computational biology
  • Computational protein structure prediction
  • Integrative modelling
  • Protein dynamics
  • Protein docking
  • Participation in teaching computer science courses


Requirements:

  • Successfully completed university degree (Master, Diplom or equivalent) in computer science or a related field
  • Excellent knowledge and experience in one of the research areas specified above
  • Research experience with deep learning and other machine learning methods
  • Interest in collaborating with biologists and experimentalists
  • Experience in the use of CPU- and GPU-based computing clusters
  • Excellent English skills orally and in writing are required
  • Sufficient language proficiency to teach classes in both German and English is expected


Please send your application with the reference number IV-304/21 and the usual documents only via email in a single PDF file to By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at TU website quick access
214041.


To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Research Assistant - salary grade E13 TV-L Berliner Hochschulen - Soft Robotics (IV-527/21)

The manual dexterity of humans remains unmatched by robotic manipulation systems. We aim to significantly reduce this gap by producing highly capable manipulation systems. Inspired and guided by observations and understanding of human manipulation skills, this project explores systematic co-design of hand morphology and motion generation/control to devise systems with novel (inhand) manipulation capabilities. The aim is to develop a principled understanding of soft robotic (inhand) manipulation.

Reference number: IV-527/21 (starting at the earliest possible / for 19 months, max. until 30.04.2023)

closing date for applications: 15/12/2021


Working field: Research on soft robotics and soft manipulation, including soft hand design, soft sensorisation, (deep) learning-based control of soft sensorised hands, and co-design of soft mechanisms and control policies based on learning and optimization; PhD thesis preparation is possible.

Requirements: Successfully completed scientific university degree (Master, Diplom or equivalent) in Computer Science or a related subject with outstanding results; excellent knowledge and experience in soft robotics, soft manipulation, soft sensing; experience in (deep) machine learning, computer vision, control and planning are desirable; knowledge of object-oriented programming; very good English skills.


Please send your application with the reference number IV-527/21 and the usual documents (one file max. 5 MB) only via email to

Further information please contact: Tel.: +49 (0)30 314-73110, E-Mail:


By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.


To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Robotics (student assistant)

Position: Student research assistant (only for students of Universities in Berlin)
Reference: 3434 T 81/18
(please include this with your application!)

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
  • excellent English

 

Nice to have skills:

  • successful completion of a course offered by RBO (e.g. Robotics: Fundamentals, Robotics, or Computational Biology)
  • 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, please see the official listing at PRSB TU Berlin.

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Computational Biology (student assistant)

Position: Student research assistant (only for students of Universities in Berlin)
Reference: 3434 T 80/18
(please include this with your application!)

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.

 

Required skills:

  • Strong programming skills in python
  • Excellent English
  • Experience with C/C++ and/or experience with programming of large dedicated compute clusters (HPC) is a plus
  • Successful completion of a course offered by RBO (e.g. Robotics: Fundamentals, Robotics, or Computational Biology)

 

Familiarity with one of the following research areas is helpful but not required:

  • Computational Biology
  • Bioinformatics
  • Machine Learning
  • Robotics

 

Please email your application, including cover letter, CV, and other supporting material as a single PDF file to 

 

For further information, please see the official listing at PRSB TU Berlin.

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Zusatzinformationen / Extras

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Auxiliary Functions

Professor Dr. Oliver Brock

Office hours
Friday 10-12,
please make an
appointment

Administration

Xenia Thau
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