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Research Assist­ant - salary grade E 13 TV-L Ber­liner Hoch­schu­len - 1st qual­i­fic­a­tion period (PhD can­did­ate) - Robotics

Faculty IV - Institute of Computer Engineering and Microelectronics / Robotics and Biology Laboratory
Reference number: IV-301/20 (starting at the earliest possible / limited to 5 years / closing date for applications 24/06/20)

The RBO Lab offers an ideal envir­on­ment for a sci­entific career because it is inter­na­tion­ally renowned, has excel­lent facil­it­ies and close con­nec­tions with top inter­na­tional uni­versit­ies.

Work­ing field:

  • col­lab­or­a­tion in research in robot­ics, with a focus on autonom­ous manip­u­la­tion, inter­act­ive per­cep­tion, cog­nit­ive sys­tems, robotic learn­ing in the real world.
  • par­ti­cip­a­tion in teach­ing com­puter sci­ence.

Require­ments:

  • suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence or a related field of study
  • very good know­ledge and exper­i­ence in one of the spe­cified research areas
  • a keen interest in inter­dis­cip­lin­ary research; exper­i­ence in pro­gram­ming real-world robots; good (deep) machine learn­ing skills
  • exper­i­ences in machine per­cep­tion, con­trol, and plan­ning are desired
  • very good Eng­lish skills are essen­tial; suf­fi­cient lan­guage pro­fi­ciency to teach classes in both Ger­man and Eng­lish is expec­ted

How to ap­ply:Please send your applic­a­tion with the ref­er­ence num­ber IV-301/20 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.

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.

The vacancy is also available on the internet here.

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

Faculty IV - Institute of Computer Engineering and Microelectronics / Robotics and Biology Laboratory
Reference number: IV-302/20 (starting at the earliest possible / limited to 5 years / closing date for applications 24/06/20)

The RBO Lab offers an ideal envir­on­ment for a sci­entific career because it is inter­na­tion­ally renowned, has excel­lent facil­it­ies and close con­nec­tions with top inter­na­tional uni­versit­ies.

Work­ing field:

  • col­lab­or­a­tion in research in Com­pu­ta­tional Bio­logy, with focus on pro­tein struc­ture pre­dic­tion; link­ing exper­i­mental with com­pu­ta­tional meth­ods (integ­rat­ive mod­el­ling); pro­tein dynam­ics; pro­tein dock­ing
  • par­ti­cip­a­tion in teach­ing com­puter sci­ence.

Require­ments:

  • suc­cess­fully com­pleted uni­versity degree (Mas­ter, Dip­lom or equi­val­ent) in com­puter sci­ence or a related field of study
  • very good know­ledge and exper­i­ence in one of the spe­cified research areas
  • exper­i­ence in col­lab­or­at­ing with bio­lo­gists or exper­i­mental meth­ods for struc­ture determ­in­a­tion are desired
  • good skills in (deep) machine learn­ing
  • exper­i­ence in the use of CPU- and GPU-based com­pute clusters
  • very good Eng­lish skills are essen­tial; suf­fi­cient lan­guage pro­fi­ciency to teach classes in both Ger­man and Eng­lish is expec­ted

How to ap­ply:Please send your applic­a­tion with the ref­er­ence num­ber IV-302/20 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.

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.

The vacancy is also available on the internet here.

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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