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

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

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++) and a solid ML background are essential.

Your Role

• Implement and integrate machine learning solutions for autonomous systems, including tasks such as object detection, semantic segmentation, behavioral cloning, or reinforcement learning in close collaboration with the university.
• Conduct cutting‑edge research in applied robotics domains such as Sensor‑Fusion, SLAM, Perception, Behavioral Cloning, Motion Planning and Prediction, and Environmental Modelling.
• Explore research tasks including Domain Adaptation, Self‑Supervised Learning, Multiview‑Multimodal Systems, Explainable Machine Learning, Reinforcement Learning, and working with sparse data (Lidar, Radar).
• Prepare for top ML conference publications.
• Contribute to the company’s IP portfolio.

Minimum Requirements

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

Preferred Qualifications

• Experience with ROS or similar frameworks.
• Experience with real‑time systems.
• Experience in an agile project environment (SCRUM).
• Experience with software continuous integration.

Benefits

• Work‑life balance: Flexible working hours and mobile working options.
• Ergonomic workstations: Height‑adjustable desks and ergonomic office chairs.
• Company events: Regular team events, meet‑and‑greets, and an annual Christmas party.
• Free drinks: Complimentary coffee, tea, and water.

Legal

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or 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.