Geophysical ML Engineer – Melbourne

Geophysical ML Engineer – Melbourne

Melbourne Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Build geophysical modelling capabilities and analyse data with cutting-edge sensors.
  • Company: Nomad Atomics, a pioneering tech company in Melbourne.
  • Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and impact.
  • Why this job: Join a dynamic team and tackle real-world challenges using advanced technology.
  • Qualifications: PhD or Masters in relevant field with experience in numerical software and statistics.

The predicted salary is between 90000 - 110000 $ per year.

Nomad Atomics in Melbourne, Australia is seeking an experienced geophysical modeller to help build Nomad’s geophysical modelling capabilities.

You’ll work closely with the geophysics team and founders on end-to-end modelling, data analysis and real‑world applications of our sensors.

The role requires a strong background in numerical software, Monte Carlo methods and Bayesian statistics, with a Ph D or Masters and a track record of solving complex real‑world problems.

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Geophysical ML Engineer – Melbourne employer: Nomad Atomics

At Nomad Atomics, we pride ourselves on being at the cutting edge of quantum sensing technology, offering a dynamic work environment in Melbourne that fosters innovation and collaboration. Our team is composed of industry leaders who are passionate about pushing boundaries, providing employees with unique opportunities for professional growth and hands-on experience in groundbreaking projects. With a strong emphasis on teamwork, open communication, and a flexible work culture, we ensure that our employees are not only challenged but also supported in their journey to make a significant impact in the field.

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Contact Details:

Nomad Atomics Recruitment Team

We think you need these skills to ace Geophysical ML Engineer – Melbourne

Geophysical Modelling
Numerical Software
Monte Carlo Methods
Bayesian Statistics
Data Analysis
Problem-Solving Skills
PhD or Masters in relevant field