Dirac Labs Innovation Fellow

This is a collaborative project between Ashoka University and Dirac Labs, funded by the United States–India Science & Technology Endowment Fund.

Start Date: At the earliest

Location: Ashoka University, NCR, Sonipat, Haryana, India - 131029

About Dirac Labs

Dirac Labs is revolutionizing navigation with cutting-edge technologies designed to be robust against blocking and spoofing. By integrating advanced quantum sensors with machine learning, Dirac Labs accurately determines position using the Earth’s magnetic field offering a reliable, precise, and independent positioning solution.

About Ashoka University

Ashoka University -India’s premier interdisciplinary teaching and research university. An institution that has become a beacon of academic excellence in less than 10 years since its inception. At Ashoka, we encourage you to embrace the new, push the boundaries for continuous learning, and adapt to a world of constant change Because we believe that each Ashokan is capable of becoming a thought leader.

About the Role

• Join our fast-paced, research-focused team dedicated to developing advanced algorithms and techniques for real-time positioning and navigation using multi-sensor data. In this postdoctoral position, you will work on:
• Magnetic Navigation: Develop and refine machine learning models to enhance magnetic navigation. Conduct research on advanced filtering and sensor fusion techniques for robust, real-time position estimation.
• Gravity Modeling & Inversion: Lead efforts in gravity modeling and inversion problems to complement and enhance navigation frameworks. Integrate gravitational data with magnetic and other sensor inputs to improve overall system performance.
• Collaboration & Dissemination: Work closely with quantum physicists and experts from various disciplines to integrate complex sensor data. Design experiments, analyze complex datasets, and publish findings in academic journals, contributing to the broader scientific community.

How to Apply

For more info, follow the link below: