Simulations and Modelling

ATOMIONICS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A pioneering technology company in Singapore is seeking a motivated professional to develop software for simulating quantum gravimeters. The ideal candidate will have a strong background in mechanics and experience with Python. Responsibilities include data processing, integration of transfer functions, and analysis of simulation versus experimental data. This is an exciting opportunity to contribute to groundbreaking technology in resource exploration.

Qualifications

• Background in sensor fusion, signal processing, or related fields.
• Familiarity with modeling inertial and non-inertial reference frames.
• Able to pick up deep technical problem statements.

Responsibilities

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

Skills

Modelling of classical mechanics

Experience with Python

Root Cause Analysis

Education

Engineer or physicist with a background in computer science

Tools

NumPy

SciPy

pandas

Matlab

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.