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

Spleenlab; Saalburg-Ebersdorf; Vor Ort; EUR 45.000 - 60.000; Vollzeit

Benefits dieser Stelle

Work-Life-Balance: Flexible working

Ergonomic Workstations

Company Events

Free Drinks

Zusammenfassung

Spleenlab in the Saalburg-Ebersdorf/Jena area is seeking a PhD Candidate in Machine Learning for Computer Vision to develop ML solutions for autonomous systems in collaboration with leading universities. Your research will cover areas such as sensor fusion, SLAM, behavioral cloning, and reinforcement learning, with opportunities to publish at top ML conferences and contribute to real-world applications.

You should have a MSc in computer science or a related discipline and strong programming

Qualifikationen

• M.Sc. degree in computer science or a related discipline and strong programming skills with a solid ML background.
• Experience with one or more programming languages including but not limited to C/C++, Python

Aufgaben

• Implement and integrate ML solutions for autonomous systems, including object detection, semantic segmentation, behavioral cloning or reinforcement learning in collaboration with the university.
• Pursue cutting-edge research in sensor fusion, SLAM, perception, behavioral cloning, motion planning and prediction.
• Research in domain adaptation, self-supervised learning, multiview-multimodal systems, explainable ML, reinforcement learning, and sparse data (Lidar, Radar).
• Prepare for top ML conference publications.
• Contribute to the company IP portfolio.

Kenntnisse

Python

C/C++

Machine Learning

Ausbildung

M.Sc. degree in computer science or related discipline

Tools

ROS

Jobbeschreibung

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++), 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

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.

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.

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