Positioning Research Engineer – PAYE

Positioning Research Engineer
Location: Edinburgh, UK
Job Summary
We are now recruiting Consultants in the field of AI & Indoor Positioning. The positions are open in its Edinburgh Research Centre. The team you will be joining is systems-focused, so we are looking for engineering-minded researchers with a focus on building software to address current challenges for smart phone users. The successful candidates will hold relevant research contribution or engineering background and able to undertake research and engineering work in data and AI system components. We’re looking to recruit various level consultants with skills in designing and implementing large scale graph optimisation or machine learning (Unsupervised / Reinforcement) activity recognition and features extraction. Candidates should have a solid computer science or mathematical background, be comfortable with both academic research, and engineering skills.
Key Responsibilities:

• Systems research and development on GNSS alternative navigation systems for pedestrians or vehicles.
• Geospatial data analysis utilising features recognition, clustering, classification and dimensionality reduction in a multi-dimensional trajectory. 
• Support the development of key technical components for the next generation localisation and positioning systems on our products.
• Support the realisation of cooperative SLAM and data driven AI for hand held devices.
• Unleash the full potential of geospatial data modelling for indoors.
• Realise and procure innovations for the future development of positioning and navigation technologies.
• Cooperation with the academic partners and field experts in Edinburgh and the UK.

Required:  

• Sensors fusion, Signal processing, SLAM, Machine Learning.
• Researching/engineering experience in at least one of the following:
• Excellent data science tech stack, such as Python, PyTorch and Pandas data frame.
• Ability to pick up and progress new cutting-edge technologies in literature.
• Commercial R&D experience or relevant publications records

• PhD in positioning systems, robotics or machine learning related topics;
• Relevant industry experience delivering innovations and R&D projects in activity recognition, deep learning or robotics.
• Contributions to open-source projects navigation systems, autonomous driving or geospatial data science
• Some exposure to computer vision and augmented reality research & development