西门子Expert Research Scientist on Polyfunctional Robot Perception & AI

工作描述

任职要求
The Opportunity: Expert Research Scientist on Polyfunctional Robot Perception & AI
Are you a trailblazing researcher with a deep passion for enabling robots to truly "see," "understand," and "reason" about the world around them? Do you thrive on pushing the boundaries of perception, machine learning, and artificial intelligence to empower complex robotic systems with unprecedented autonomy and adaptability in dynamic industrial environments?
We are seeking an outstanding and highly innovative Expert Research Scientist on Polyfunctional Robot Perception & AI to join our core research team. In this pivotal role, you will be instrumental in the research, design, development, and deployment of advanced perception and AI algorithms that allow our next generation polyfunctional robots to perceive their surroundings, interpret complex scenes, make intelligent decisions, and learn from experience. This is about giving our robots the cognitive capabilities to excel in challenging, unstructured industrial settings.
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What You Will Do:
•	Lead Perception & AI Research: Drive cutting-edge research in robot perception and AI, focusing on developing novel algorithms and methodologies for polyfunctional robots operating in industrial environments.
•	Sensor Data Fusion: Design and implement advanced sensor fusion techniques (e.g., Kalman filters, particle filters, deep learning-based fusion) to combine data from various modalities (e.g., LiDAR, cameras, depth sensors, force/torque sensors) for robust state estimation and environmental understanding.
•	Object Detection, Recognition & Tracking: Develop and optimize algorithms for real-time object detection, recognition, pose estimation, and tracking of known and unknown objects, including deformable objects and those in cluttered scenes.
•	Scene Understanding & Semantic Mapping: Research and develop methods for semantic scene understanding, 3D reconstruction, dynamic environment mapping, enabling robots to build rich, actionable representations of their surroundings.
•	AI-driven Task Planning & Decision Making: Develop AI algorithms for high-level task planning, decision-making under uncertainty, and intelligent behavior generation, leveraging perception outputs for adaptive robot autonomy.
•	Machine Learning for Robotics: Apply and advance machine learning techniques (e.g., deep learning, reinforcement learning, imitation learning) for various perception and AI challenges, including learning from demonstration and continuous self-improvement.
•	Performance Evaluation & Benchmarking: R…