PhD Researcher / Research Assistant – Autonomous Driving & Perception Stack

Posted 4 Hours Ago
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Berlin
In-Office
Internship
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
Develop a prototype perception stack, enhance perception functions with HD map attributes, analyze HD map specifications, and collaborate on innovative solutions.
Summary Generated by Built In
What's the role?About the Role:

We are seeking a highly motivated PhD researcher or recent PhD graduate or Research Assistant to join our multidisciplinary team focused on innovation in autonomous driving and high-definition (HD) mapping. This is a unique opportunity to contribute to cutting-edge research and applied development at the intersection of AI/ML, HD maps, and sensor fusion.

In this role, you will be empowered to explore technical domains critical to the project’s success. You’ll work in a collaborative environment with teams across research, engineering, and architecture to push the boundaries of perception systems using HD map data.

Your Responsibilities:
  • Develop a prototype perception stack using an existing development environment as a baseline.

  • Create applications of HD map attributes that enhance perception stack functions.

  • Analyze HD map specifications (HD specs) and relate them to L2/L2+ and L3 functionalities.

  • Collaborate with internal and external research teams to build innovative solutions fusing map and sensor data.

  • Test prototypes in simulated environments and deliver performance metrics.

  • Contribute to development of components for deployment in test fleets.

  • Automate collection and analysis of field test data, and use insights to refine the function stack.

Who are you?
  • Currently pursuing or recently completed a PhD in Computer Science, Software Engineering, Robotics, or a related field. (Masters Degree with intensive research experience in related field is also acceptable)

  • Demonstrated interest or research experience in autonomous driving, intelligent systems, or similar.

  • Solid foundation in AI/ML, particularly as applied to perception or control systems.

  • Proficiency in C/C++ or Rust for systems-level programming.

  • Strong skills in Python and its data analysis ecosystem (e.g., pandas, NumPy, scikit-learn); experience with visualization tools like Tableau or Excel is a plus.

  • Self-driven, curious, and passionate about working in a fast-evolving technological domain.

  • Strong communication skills and ability to work collaboratively across disciplines.


What do we offer:

  • A chance to work on real, production-grade challenges in autonomous driving

  • Work on high-impact problems in next-generation mobility and intelligent systems.

  • Collaborate with experts across disciplines in a supportive and innovative environment.

  • Mentorship from experienced engineers and architects at HERE

  • Access to HERE’s simulation platforms, HD map data, and test vehicle data

  • A collaborative, open, and learning-friendly environment


Please note:
  • This could be a 1 or 2 years fixed-term full-time (or 80% FTE) contract with possibilty to extend full time.
  • The role is based in Berlin - hybrid work policy benefit
  • We provide a relocation allowance for domestic (Germany) relocation to support your move to Berlin.

                                                                                        Change is HERE. Apply Now!                                                                                                  #LI-MM3 #LI-HYBRID


Our culture is founded on openness, collaboration and honesty, with colleagues who are brilliant in their field, helpful, resilient, loyal and strive for the best. One team in that everyone makes a difference, and everyone is heard.


As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.


HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

Who are we?

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.


At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

Top Skills

Ai/Ml
C/C++
Excel
Hd Mapping
Numpy
Pandas
Python
Rust
Scikit-Learn
Tableau

What the Team is Saying

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The Company
HQ: Amsterdam
6,000 Employees
Year Founded: 1985

What We Do

HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry, we also work with leading companies across a wide range of industries, including transport and logistics, mobility, manufacturing and retail and the public sector.

Why Work With Us

At HERE, we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity, creativity and collaboration and we're always looking for opportunities to grow it further.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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