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.

If you are interested in applying for this job, please make sure you meet the following requirements as listed below.

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.

You must have full right to work in the UK for this role – visa sponsorship is not available.

Key Responsibilities:

• Develop alternative navigation systems to GNSS for pedestrians and vehicles
• Analyze geospatial data using feature recognition, clustering, classification, and dimensionality reduction
• Contribute to core components of next-generation localization and positioning systems
• Advance cooperative SLAM and AI-driven solutions for handheld devices
• Maximize indoor geospatial data modeling potential
• Drive innovation in positioning and navigation technologies
• Collaborate with academic and industry experts in Edinburgh and across the UK

Key Requirements:

• 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

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