Research Engineer – Indoor Positioning and Location Analytics

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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The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

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