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

Das ist der Job

Strong programming skills in Python/C++ and a solid background in machine learning are essential.

Darum lohnt es sich

PhD Candidate – Machine Learning in Computer Vision (m/f/d) Full‑time position located in Saalburg‑Ebersdorf or Jena, within our Software Engineering team. Benefits Work‑life balance: flexible working hours and mobile working options. Company events: regular team gatherings, meet‑and‑greet sessions, and an annual Christmas party.

Profile Join us to develop cutting‑edge machine learning solutions for autonomous systems in collaboration with leading universities. Your research will focus on sensor fusion, SLAM, behavioral cloning, and reinforcement learning, with opportunities to publish at top ML conferences and contribute to real‑world applications.

Responsibilities Implement and integrate machine learning solutions for our autonomous systems, including object detection, semantic segmentation, behavioral cloning, and reinforcement learning.

Conduct cutting‑edge research in applied robotics domains such as Sensor‑Fusion, SLAM, Perception, Behavioral Cloning, Motion Planning & Prediction, and Environmental Modelling.

Explore research tasks in Domain Adaptation, Self‑Supervised Learning, Multiview‑Multimodal Systems, Explainable Machine Learning, Reinforcement Learning, and handling sparse data (LiDAR, Radar). Prepare manuscripts and present findings at leading ML conferences. Contribute to the company’s intellectual property portfolio.

Qualifications (minimum) M.Sc. in Computer Science or a related discipline (e.g., AI, Machine Learning, Statistics, Cognitive Science, Computational Physics, Applied Mathematics). Strong programming skills with experience in at least one of C/C++ or Python.

Solid background in machine learning, numerical simulation, artificial intelligence, or computational cognitive science. Preferred Qualifications Experience with ROS or a similar robotics framework. Experience with real‑time systems. Experience in an agile project environment (e.g., SCRUM).

Experience with Continuous Integration in software development. Ergonomic workstations with height‑adjustable desks and ergonomic chairs. Complimentary beverages: coffee, tea, and water.

Equal Employment Opportunity 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, or any other protected characteristic. Qualified applicants are considered in accordance with legal requirements.

If you need accommodation due to a disability or special need, please let us know. Please send your CV and supporting materials directly to career@spleenlab.ai . #J-18808-Ljbffr