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- Tasks: Develop innovative navigation systems and analyse geospatial data for smart devices.
- Company: Join a leading Edinburgh-based R&D team focused on AI and indoor positioning technologies.
- Benefits: Work in a dynamic environment with opportunities for collaboration and innovation.
- Why this job: Be part of cutting-edge technology that impacts everyday navigation and positioning solutions.
- Qualifications: PhD or equivalent experience in relevant fields; expertise in machine learning and sensor fusion required.
- Other info: Full right to work in the UK is essential; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
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.
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
- 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
Positioning Research Engineer - SLAM / Sensors / Signal employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Positioning Research Engineer - SLAM / Sensors / Signal
✨Tip Number 1
Familiarise yourself with the latest advancements in SLAM and indoor positioning technologies. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the AI and positioning systems community, especially those based in Edinburgh. Attend relevant meetups or conferences to make connections that could provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your hands-on experience with Python, PyTorch, and Pandas. Be ready to discuss specific projects where you applied these tools, as practical knowledge is highly valued in this role.
✨Tip Number 4
Stay updated on emerging technologies related to sensor fusion and signal processing. Showing that you are proactive about learning and adapting to new trends can set you apart from other candidates.
We think you need these skills to ace Positioning Research Engineer - SLAM / Sensors / Signal
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in sensor fusion, signal processing, and machine learning. Include specific projects or experiences that demonstrate your hands-on research or engineering skills relevant to the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and indoor positioning technologies. Mention how your background aligns with the key responsibilities of the role, particularly in developing innovative software solutions for smart devices.
Showcase Relevant Projects: If you have experience with open-source projects in navigation or autonomous systems, be sure to mention these. Highlight any publications or contributions to academic literature that relate to the job description.
Proofread and Format: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your CV and cover letter are well-formatted and easy to read, as this reflects your attention to detail.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Skills
Make sure to highlight your expertise in sensor fusion, signal processing, and machine learning during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in relation to SLAM and geospatial data.
✨Demonstrate Your Research Experience
Since the role requires a strong background in research or engineering, be ready to talk about your PhD work or any relevant publications. Discuss how your research aligns with the company's focus on innovative software solutions for positioning technologies.
✨Familiarise Yourself with Emerging Technologies
Stay updated on the latest advancements in AI and indoor positioning systems. Being able to discuss recent trends or breakthroughs in the field will show your passion and adaptability, which are key traits for this role.
✨Prepare for Collaborative Scenarios
Given the emphasis on collaboration with academic and industry experts, think of examples where you've successfully worked in teams. Highlight your communication skills and how you can contribute to a cooperative environment.
