Positioning Research Engineer - SLAM / Sensors / Signal

We are partnered with an Edinburgh-based global R&D team developing cutting-edge AI and indoor positioning technologies for smart devices. Focus areas include navigation systems, geospatial data, SLAM, and machine learning, with close ties to academic and industry partners. They are looking to hire consultants specializing in AI and Indoor Positioning at our Edinburgh Research Centre. This systems-focused team seeks engineering-oriented researchers passionate about building innovative software solutions for smartphone users. Ideal candidates will have a strong background in research or engineering, particularly in data and AI systems. Analyze geospatial data using feature recognition, clustering, classification, and dimensionality reduction Advance cooperative SLAM and AI-driven solutions for handheld devices Maximize indoor geospatial data modeling potential Collaborate with academic and industry experts in Edinburgh and across the UK Expertise in sensor fusion, signal processing, SLAM, and machine learning Hands-on research/engineering experience in at least one relevant domain Proficiency with Python, PyTorch, and Pandas Quick adaptability to emerging technologies and academic literature PhD in positioning systems, robotics, or machine learning (or equivalent experience) Track record in commercial R&D or relevant academic publications Experience with open-source projects in navigation, autonomous systems, or geospatial data Exposure to computer vision and augmented reality development By applying to this role you understand that we may collect your personal data and store and process it on our systems.