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- Tasks: Develop innovative navigation systems and analyse geospatial data for smart devices.
- Company: Join a cutting-edge R&D team in Edinburgh focused on AI and indoor positioning technologies.
- Benefits: Enjoy a dynamic work environment with opportunities to collaborate with industry experts.
- Why this job: Be at the forefront of technology, driving innovation in positioning and navigation solutions.
- Qualifications: PhD or equivalent experience in positioning systems, robotics, or machine learning required.
- Other info: Visa sponsorship is not available; full right to work in the UK is necessary.
The predicted salary is between 42000 - 84000 £ per year.
Positioning Research Engineer – SLAM / Sensors / Signal
Positioning Research Engineer – SLAM / Sensors / Signal
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Research and Recruitment Consultant | HPC, CPUs, GPUs, and FPGAs
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
- 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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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 sensor technologies. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with online communities or forums related to AI and positioning systems. Networking with professionals in these spaces can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase any relevant projects or research you've worked on, especially those involving Python, PyTorch, or machine learning. Having concrete examples ready can help you stand out during discussions.
✨Tip Number 4
Consider reaching out to current employees at the Edinburgh Research Centre via LinkedIn. A friendly message expressing your interest in the role and asking for advice can create a positive impression and may even lead to a referral.
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, SLAM, and machine learning. Include specific projects or experiences that demonstrate your hands-on research or engineering skills in these areas.
Craft a Strong 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, such as developing alternative navigation systems and collaborating with academic experts.
Showcase Relevant Skills: Clearly list your proficiency in Python, PyTorch, and Pandas. If you have experience with open-source projects or publications, make sure to include these as they are highly relevant to the position.
Highlight Adaptability: Demonstrate your quick adaptability to emerging technologies and academic literature. You can do this by mentioning any recent courses, workshops, or self-study initiatives that showcase your commitment to staying current in the field.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Expertise
Make sure to highlight your experience with sensor fusion, signal processing, and SLAM during the interview. Be prepared to discuss specific projects where you've applied these skills, as well as any relevant programming languages like Python and frameworks such as PyTorch.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled complex problems in previous roles. Use examples that showcase your ability to analyse geospatial data or develop innovative solutions for navigation systems, as this will resonate well with the company's focus on cutting-edge technologies.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in AI and indoor positioning technologies. Being able to discuss recent developments or emerging technologies in your field will show your passion and commitment to continuous learning, which is crucial for this role.
✨Engage with the Interviewers
Don't hesitate to ask insightful questions about the company's projects and future directions. This not only demonstrates your interest in the role but also allows you to gauge if the company aligns with your career goals and values.
