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- Tasks: Design GNSS-alternative navigation systems and analyse geospatial data.
- Company: Join a leading UK research centre focused on AI and indoor positioning.
- Benefits: Permanent role in Edinburgh with opportunities for collaboration and innovation.
- Why this job: Work on cutting-edge technology that impacts real-world navigation solutions.
- Qualifications: PhD in robotics or related field; strong skills in Python and machine learning required.
- Other info: Collaborate with top academic partners and contribute to groundbreaking research.
The predicted salary is between 36000 - 60000 £ per year.
We are currently partnered with a world-leading research center in the UK conducting cutting-edge research in 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
- 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
Research Engineer - Positioning Systems / Indoor Positioning employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Positioning Systems / Indoor Positioning
✨Tip Number 1
Familiarise yourself with the latest advancements in indoor positioning and SLAM technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of geospatial data science and AI. Attend relevant conferences or webinars, and connect with researchers on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Showcase your practical experience with Python and PyTorch by working on personal projects or contributing to open-source initiatives. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous research publications or R&D experiences in detail. Be ready to explain how your work relates to the responsibilities of the Research Engineer position and how it can contribute to the team’s goals.
We think you need these skills to ace Research Engineer - Positioning Systems / Indoor Positioning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics, machine learning, and geospatial data science. Emphasise any projects or research that align with the responsibilities of the Research Engineer position.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the key requirements listed in the job description. Discuss your PhD work and how it relates to GNSS-alternative navigation systems and AI-based SLAM systems.
Showcase Technical Skills: Clearly outline your proficiency in Python, PyTorch, and any other data science tools you are familiar with. Provide examples of how you've applied these skills in previous roles or research.
Highlight Collaboration Experience: Mention any past collaborations with academic partners or research institutions. This will demonstrate your ability to work within a team and contribute to R&D efforts effectively.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, and data science tools. Bring examples of projects where you've applied advanced geospatial data analysis techniques or worked on SLAM systems.
✨Demonstrate Your Research Experience
Highlight your PhD work and any publications you have. Be ready to explain how your research can translate into practical applications for localisation technologies.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to tackle real-world problems. Think about challenges you've faced in previous roles and how you approached them, especially in multi-sensor fusion or signal processing.
✨Engage with the Interviewers
Show genuine interest in the research centre's work. Ask insightful questions about their current projects in AI and indoor positioning, and express your enthusiasm for collaborating with academic partners.
