How do I apply for the Student assistant position at Technische Universität Berlin and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Technische Universität Berlin paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Student assistant role?

This position is a part-time, structured as a not disclosed role, with an expected duration of 25.5 months.

What educational background or degree level is required for the Student assistant at Technische Universität Berlin?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Technische Universität Berlin provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Student assistant

Technische Universität Berlin

Found 1 month ago

Location

Berlin, Germany

Duration (Months)

25.5 Months

Time

Part-time

Work Mode

Not disclosed

Salary

15.08 euros/hour

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
C++
ROS 2
Rust
linear algebra
calculus

Soft Skills

Very good programming skills
Good mathematical foundation
Good written and spoken English skills

Job Description

Supporting activities under supervision in the “Emmy Noether Part 2” project in the field of multi-robot systems including the following tasks: * Support with programming in Python, C++ and ROS 2 within our open-source research testbed for flying robot swarms (60%) * Support in the execution of flight experiments with flying robot teams (20%) * Support with embedded programming in Rust and C for the firmware of the robots (10%) * Support with validation of new planning and control algorithms for collaborative flying robot teams (10%)

Requirements

Very good programming skills in Rust, Python, or C++
Good mathematical foundation in linear algebra and calculus
Good written and spoken English skills

Software Engineering

Software QA & Testing

Languages

English

Nice to Haves

Basic knowledge of artificial intelligence or machine learning
Basic knowledge of control engineering or robotics
Experience with modelling and control of flying robots
Experience with embedded systems (Arduino or STM32)
Experience with the Robot Operating System (ROS 2)

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