Research Engineer
Vor 5 Tagen
Overview
At the Esri R&D Center in Vienna, Austria, we drive innovation in Indoor Positioning System (IPS) technology to enhance the capabilities of indoor GIS for both casual and power users across all platforms and devices.
As a talented research engineer experienced in Geographic Information Science, Spatial Data Science, or related fields, you will work with our research team to advance the state-of-the-art in indoor positioning by prototyping and assessing novel solutions to the Indoor Positioning problem. You will design and perform data collection and analytics to derive meaningful insights about our positioning algorithms and support our partners and customers to improve and troubleshoot their IPS deployments. Understanding how our users apply ArcGIS to real-world scenarios, you will contribute to the design, documentation, testing, release, and deployment of ArcGIS IPS.
Responsibilities
- Support our R&D team developing new algorithms to improve indoor positioning and mapping capabilities of commercial software
- Apply empirical methods to evaluate and improve existing algorithms and software products
- Contribute to data collection and data analyses
- Produce and present clear IPS performance reports as outcome of any analysis performed
- Analyze and troubleshoot real-world indoor positioning deployments
- Support productization of our research projects by tuning parameters to align with future software capabilities and product functionality
- Develop spatio-temporal analytic toolsets to assist the deployment, maintenance, and management of ArcGIS IPS
- Contribute to the writing of technical reports, technical papers, and scientific publications
Requirements
- 8+ years of experience supporting software product development within an agile environment
- Knowledge in statistics, machine learning, signal processing
- Solid experience with Python, specifically with scientific/data-science packages
- Strong fluency with the English language, both verbal and written communication
- Master's degree in applied physics, computer science, applied mathematics, engineering, geoinformatics, or a related field
Recommended Qualifications
- Working knowledge in Indoor Positioning System (IPS), Simultaneous Localization and Mapping (SLAM), or any related field
- Familiarity with ArcGIS or other GIS and mapping products
- Work experience in data engineering, data science, and applying machine learning, deep learning or signal processing techniques to real-world problems
- Ph.D. in applied physics, computer science, applied mathematics, engineering, geoinformatics, or a related field
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