42 Wolfsburg | Berlin42 Wolfsburg | Berlin

Autonomous Driving Systems Developer & Learning Facilitator (Junior Researcher)

Wolfsburg, Germany
Employee
Engineering / Technics
1.400 € to 1.600 € / month

About 42 Wolfsburg

42 Wolfsburg is a recently launched, disruptive higher education NGO/start-up educating 600 students to become cutting-edge techies and software engineers in a practice-based peer-learning environment. 42 Wolfsburg is based on the internationally successful concept of Ecole 42 which was funded 2013 in Paris and today trains 15‘000 students in 42 schools. At 42 Wolfsburg we set out to educate the next generation of german software engineers to build the digital (mobility) infrastructure of our societies – this means meaningful work, excellent career opportunities and lots of responsibility.

About the SEA:ME Program

The automotive industry has been undergoing a massive digital transformation over the past few years, transitioning into a model that relies less on traditional hardware ingenuity and more on software-driven electronics. Trends like automation, shared mobility, connectivity, and electrification are increasingly dominating the global vehicle market. The change is happening rapidly with no signs of slowing down, which means that educational institutions are faced with the challenge of producing enough talent to meet this demand for highly-specialized digital skills.

One of 42 Wolfsburg's main objectives is to respond to this challenge by introducing a specialization in Software Engineering in Automotive & Mobility Ecosystem (SEA:ME) into the already established curriculum pioneered by the 42 Network around the world. With the support of our expert 42 Fellows from companies like Volkswagen, CARIAD, Porsche, Daimler and academics from institutions like the University of Bonn, TU Braunschweig, Ostfalia, TU Munich and TU Berlin we aim to contribute to an open, inclusive, and future-oriented mobility ecosystem by teaching state-of-the-art technologies, open architectures, and agile practices. For more information, please visit our medium post on SEA:ME.

Tasks

Over the last decade ADS (Automated Driving Systems) have been brought to the market and some vehicles today have already reached or are close to reaching Level 3 Automation. Reaching Level 4 and Level 5 automation is predicted to be the biggest breakthrough innovation in mobility. The continuing evolution of ADS aims to deliver even greater safety benefits and by that — one day — can handle the whole task of driving when we don’t want to or can’t do it ourselves. Fully automated cars and trucks that drive us, instead of us driving them, will become a reality.

One of the 3 anchor modules of SEA:ME is the Autonomous Driving Systems Module. In this module, our students will tackle learning projects that will allow them to set up and administer ADS. Various topics like Linear Algebra (Matrices, Vectors, Matrix multiplication), Calculus (Derivatives, Integrals), Statistics (Mean, Standard deviation, Gaussian distribution), Physics (Forces), Control theory, PID controllers, Computer Vision, AI & Machine learning, Data Engineering, etc. will be included in ADS module of SEA:ME.

We are looking for researchers (preferably Ph.D. candidates OR Masters students) willing to contribute to the open-source, open standards, OER (Open Education Resources) learning materials and assist students with electronics, work safety, and tutoring in the fields of Automotive software engineering sector mainly in Autonomous Driving Systems module.

Requirements

To learn is one thing but to make others learn (and not to teach!) is a whole game apart. We are going into the production phase and we need experts to shape different SEA:ME projects by putting together learning material/content in the form of 42 style(peer-to-peer) learning projects in Automotive Software Engineering.

  • preferably master student/Ph.D. candidate - Computer Science, Electronics Engineering or similar
  • Interested in the research areas like AI, ML, Computer Vision, Virtual Physics, ADAS, etc
  • Experience in handling Automotive Electronics
  • Familiar with ADAS systems like Lane Departure Warning, Lane Keep Assist, Adaptive Cruise Control, Autonomous Parking, Advanced Emergency Braking, Blind Spot Monitoring, CARLA simulator, etc
  • Keen interest in RaspberryPi and Arduino-based PoC creation
  • Programming language skills (must): C, C++
  • Programming language skills (nice to have): Rust, Python
  • Experience with educational content creation and documentation
  • Passionate about assisting and mentoring students
  • Fluent in English, enjoy intercultural communication
  • Positive attitude to working with special-needs students and colleagues

Celebrate individual differences, come together as a team

At 42 we strongly believe in the value of individual differences and human diversity. We are extremely proud of our inclusive and flexible work culture, recognizing each employee for their individual strengths and talents.

Applicants who choose to share protected characteristics with us and who meet the role requirements will be treated with priority.

The contract

The initial contract for this position has a duration of 6 months in line with the program funding. We aim for an extension when entering the main project phase.
The position has an extent of 20h/week and is carried out on-site in Wolfsburg.

Didn’t find what you were looking for?
Updated: 21 hours ago
Job ID: 5941291
About 42 Wolfsburg | Berlin
2-10 employees
Education Management
Wolfsburg, Deutschland
42 is an innovative, higher education coding school that is free of charge with no teachers, classes or books.
Wolfsburg, Deutschland
Interested?
.doc, .docx, .pdf, .rtf, .txt
You will receive a link to verify your email and your account will be created. You can also apply with creating a password.
Contact Person
Pratik Prajapati
Pratik Prajapati
Technology Lead
No time? Just apply later
We’ll send a link to this job to your email.
This site is protected by reCAPTCHA.
  1. Autonomous Driving Systems Developer & Learning Facilitator (Junior Researcher)