Research Engineer - Positioning Systems / Indoor Positioning

European Tech Recruit; City of Edinburgh; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading research center in the UK seeks a Research Engineer specializing in navigation systems and AI. Candidates should have a PhD and strong skills in SLAM and machine learning. This permanent position is located onsite in Edinburgh, where you will tackle cutting-edge research challenges.

Qualifications

• PhD in relevant fields is mandatory.
• Strong background in sensor fusion and navigation systems required.
• Experience with ML-based activity recognition is a plus.

Responsibilities

• Design GNSS-alternative navigation systems.
• Apply advanced geospatial data analysis techniques.
• Support R&D in multi-sensor fusion and trajectory optimization.

Skills

Python

SLAM

Signal Processing

Machine Learning

Data Science

Education

PhD in robotics, machine learning, or geospatial data science

Tools

PyTorch

Pandas

Job description

Direct message the job poster from European Tech Recruit

Senior Consultant | Semiconductor, Software Engineering, Blockchain/Web3

We are currently partnered with a world-leading research center in the UK conducting cutting-edge research in within the fields of AI and Indoor positioning. The team is looking to expand its headcount with Positioning Research Engineers. This role sits within a systems-focused team tackling real-world problems through cutting-edge research in AI, SLAM, and geospatial data modelling.

This is a permanent opportunity based onsite in Edinburgh, Scotland

Key Responsibilities for this Research Engineer position:

• Design and develop GNSS-alternative navigation systems for mobile and handheld devices
• Apply advanced geospatial data analysis techniques including feature extraction, clustering, classification, and dimensionality reduction
• Contribute to AI-based cooperative SLAM systems and real-time localisation for indoor environments
• Support R&D efforts in multi-sensor fusion, signal processing, and trajectory optimisation
• Collaborate with academic partners and research institutions across the UK
• Translate cutting-edge research into commercial-grade solutions for localisation technologies

Key Requirements:

• PhD in robotics, machine learning, geospatial data science, or a related field
• Strong background in sensors fusion, SLAM, or signal processing
• Proficiency in Python, PyTorch, and modern data science tools (e.g., Pandas)
• Experience in ML-based activity recognition or trajectory prediction
• Commercial R&D experience or a strong record of research publications
• Exposure to computer vision, augmented reality, or autonomous navigation is a plus

Keywords: SLAM / Indoor Positioning / GNSS Alternatives / Geospatial Data / Trajectory Optimisation / Activity Recognition / Machine Learning / Python / PyTorch / Data Science / Signal Processing / AR / Robotics / Navigation Systems / Research Engineering

If you are interested in this Research Engineer position, please send a CV to [e-mail]

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Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Design, and Research

• Industries

  Telecommunications, Semiconductor Manufacturing, and Computers and Electronics Manufacturing

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