Introduction
At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated intern to contribute in simulating a moving-base quantum gravimeter.
Responsibilities
1.Develop and improve software implementation of a simulation model for the output of a quantum gravimeter undergoing 6 axis motion.
2.Determine forces and accelerations experienced by the quantum gravimeter and compare them to those measured by an IMU. Modelling forces and rigid body dynamics:
- Forces in Inertial and Non inertial coordinate frames
- Modelling accelerations due to Rotation and lever arms
- Kinematics in 3D space
3.Data Processing and Analysis of Signal Characteristics: FFTs, PSDs, Allan deviations.
- Finding optimal filters
- Error propagation
4.Support the integration of transfer functions into motion libraries to build sensor fusion algorithms.
5.Analyse differences between the simulation and the experimental data in a set of conditions.
Qualifications
- Engineer or physicist with a background in computer science, sensor fusion, signal processing, or related fields
- Experienced with modelling of classical mechanics: inertial and non-intertial reference frames, rotating reference frames, Centrifugal and Coriolis accelerations, lever arms
- Familiarity with Python: NumPy, SciPy, pandas, visualization packages
- Analytically minded and skilled in Root Cause Analysis
- Interested in deep technical problem statements and capable of picking things up
Preferable if you have:
- Familiarity with sensor fusion fundamentals: Euler angles, quaternions, integration, dead reckoning
- Familiarity with foundation of signal analysis such as FFTs, noise analysis
- Experienced with motion and localization packages such as Gazebo
- Familiarity with modelling in Matlab and simulations
- Experience with interfacing an IMU and collecting experimental data
- Familiarity with IMU characteristics: sampling rate, noise, bias drift, etc.
About the Company
Atomionics PTE. LTD.
The world is blind underground and underwater. Atomionics is giving it sight. We’re building a 3D map of the Earth’s subsurface to pinpoint critical minerals and other resources. Quantum sensors collect data no one else can. AI makes sense of it. Together, they are building towards our Large Planet Model: a clearer way to understand what lies beneath. The same sensors enable navigation where GPS can’t reach.