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PhD Candidate – Machine Learning in Computer Vision (m/f/d)

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Onsite

PhD Candidate – Machine Learning in Computer Vision (m/f/d)

Spleenlab

PhD Candidate – Machine Learning in Computer Vision (m/f/d)

Skills

PythonMachine LearningAI

8 months ago

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Important information


Contract type:

Permanent

Location:

07 Saalburg-Ebersdorf, Germany

Work mode:

Onsite

Published on:

28 August 2026

What they need


Full-time

Saalburg-Ebersdorf | Jena

Software Engineering

Profile

Join us to develop cutting-edge ML solutions for autonomous systems in collaboration with leading universities. Your research will focus on areas like sensor fusion, SLAM, behavioral cloning, and reinforcement learning, with opportunities to publish at top ML conferences and contribute to real-world applications. Strong programming skills (Python/C++), a solid ML background, and a passion for applied research are essential.

Your Role

  • Implement and integrate amazing machine learning solutions for our autonomous systems, including tasks like object detection, semantic segmentation, behavioral cloning or reinforcement learning in close collaboration to the university
  • Cutting Edge Research in one of the following applied Robotics domains: Sensor-Fusion, SLAM, Perception, Behavioral Cloning, Motion Planning and Prediction, Environmental Modelling
  • Research in one of the following tasks: Domain Adaptation, Self-Supervised Learning, Multiview-Multimodal Systems, Explainable Machine Learning, Reinforcement Learning, Working with Sparse Data (Lidar, Radar)
  • Prepare for top ML conference publications
  • Contribute to the companies IP portfolio

At a minimum we’d like you to have

  • M.Sc. degree in computer science or a related discipline (e.g., AI, machine learning, statistics, or cognitive science, computational physics, applied mathematics) and have strong programming skills, and a solid background in machine learning, numerical simulation artificial intelligence, or computational cognitive science
  • Experience with one or more programming languages including but not limited to: C/C++, Python

It’s preferred if you have

  • Worked with ROS or similar
  • Experience with real-time systems
  • Experience in an agile project environment (SCRUM)
  • Software Continuous Integration Experience

About

Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.

We specialize in creating cutting-edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.

As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.

Benefits

  • Work-Life-Balance: Flexible working hours and mobile working options.
  • Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.
  • Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.
  • Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.

Your Next Opportunity Starts Here

At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Please send your CV and accompanying material directly to [email protected]

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