Simulations and Modelling

Atomionics; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A pioneering technology firm located in Singapore is seeking a motivated professional to develop and improve software for simulating a quantum gravimeter. The ideal candidate should have a background in engineering or physics, experience in signal processing, and familiarity with Python. This role involves analyzing simulation data and integrating algorithms for sensor fusion. Join us in revolutionizing the resource exploration industry.

Qualifications

• Engineer or physicist with a background in computer science, sensor fusion, signal processing, or related fields.
• Experienced with modelling of classical mechanics and rotating reference frames.
• Interested in deep technical problem statements and capable of picking things up.

Responsibilities

• Develop and improve software implementation of a simulation model for a quantum gravimeter.
• Determine forces and accelerations and compare them to those measured by an IMU.
• Support the integration of transfer functions into motion libraries.

Skills

Python

Signal processing

Sensor fusion

Root Cause Analysis

Education

Engineering or Physics background

Tools

NumPy

SciPy

pandas

Job description

Introduction

At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated professional 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

1. Engineer or physicist with a background in computer science, sensor fusion, signal processing, or related fields
2. Experienced with modelling of classical mechanics: inertial and non-intertial reference frames, rotating reference frames, Centrifugal and Coriolis accelerations, lever arms
3. Familiarity with Python: NumPy, SciPy, pandas, visualization packages
4. Skilled in Root Cause Analysis
5. Interested in deep technical problem statements and capable of picking things up

Preferable if you have:

1. Familiarity with sensor fusion fundamentals: Euler angles, quaternions, integration, dead reckoning
2. Familiarity with foundation of signal analysis such as FFTs, noise analysis
3. Experienced with motion and localization packages such as Gazebo
4. Familiarity with modelling in Matlab and simulations
5. Experience with interfacing an IMU and collecting experimental data
6. Familiarity with IMU characteristics: sampling rate, noise, bias drift, etc.