Dirac Labs Innovation Fellow (Postdoc)
Dirac Labs Innovation Fellow (Postdoc)
Location: Ashoka University, Sonipat, Haryana, India
Job Type: Full-time
Work Mode: Hybrid (On-site and Remote)
Location: Ashoka University, Sonipat, Haryana, India
Job Type: Full-time
Work Mode: Hybrid (On-site and Remote)
About
About
Ashoka University and Dirac Labs invite applications for a postdoctoral fellow position funded by the United States–India Science & Technology Endowment Fund. This collaborative project aims to develop GPS-independent navigation systems using quantum sensors, machine learning, and geophysical data.
Ashoka University and Dirac Labs invite applications for a postdoctoral fellow position funded by the United States–India Science & Technology Endowment Fund. This collaborative project aims to develop GPS-independent navigation systems using quantum sensors, machine learning, and geophysical data.
Job Description
Job Description
As a Postdoctoral Fellow in the Dirac Labs Innovation Program, you will be embedded in a multidisciplinary team working at the interface of machine learning, quantum sensing, and geophysics. You will lead the development of cutting-edge algorithms and models for real-time positioning and navigation, and contribute to novel research in magnetic navigation and gravity-based positioning.
As a Postdoctoral Fellow in the Dirac Labs Innovation Program, you will be embedded in a multidisciplinary team working at the interface of machine learning, quantum sensing, and geophysics. You will lead the development of cutting-edge algorithms and models for real-time positioning and navigation, and contribute to novel research in magnetic navigation and gravity-based positioning.
Key Responsibilites
Key Responsibilites
Magnetic Navigation:
Design and refine ML-based models for real-time navigation using Earth's magnetic field; develop filtering and sensor fusion algorithms.Gravity Modeling & Inversion:
Lead research on gravity anomaly modeling; integrate gravitational data with other sensor inputs for improved navigation accuracy.Sensor Integration & Validation:
Collaborate with engineering teams to implement multi-sensor data fusion; test and validate systems in lab and field environments.Research & Dissemination:
Work with academic and industry partners, publish in leading journals, and present at conferences.
Magnetic Navigation:
Design and refine ML-based models for real-time navigation using Earth's magnetic field; develop filtering and sensor fusion algorithms.Gravity Modeling & Inversion:
Lead research on gravity anomaly modeling; integrate gravitational data with other sensor inputs for improved navigation accuracy.Sensor Integration & Validation:
Collaborate with engineering teams to implement multi-sensor data fusion; test and validate systems in lab and field environments.Research & Dissemination:
Work with academic and industry partners, publish in leading journals, and present at conferences.
Required Qualifications
Required Qualifications
PhD in Physics, Geophysics, Electrical/Computer/Aerospace Engineering, or related fields
Strong background in signal processing, ML, or sensor fusion
Experience in magnetic/gravity modeling or navigation algorithms
Proficiency in Python, MATLAB, or C++
Strong publication record and collaborative skills
Experience with quantum sensing, SLAM, or field data collection
PhD in Physics, Geophysics, Electrical/Computer/Aerospace Engineering, or related fields
Strong background in signal processing, ML, or sensor fusion
Experience in magnetic/gravity modeling or navigation algorithms
Proficiency in Python, MATLAB, or C++
Strong publication record and collaborative skills
Experience with quantum sensing, SLAM, or field data collection
© 2025 Dirac Labs. All rights reserved.
© 2025 Dirac Labs. All rights reserved.
© 2025 Dirac Labs. All rights reserved.