It’s not about specifically where you have come from nor what qualifications you have. What truly matters is that you are an impossibly fast learner. People with competitive applications could have skills and experience such as:
· expertise and experience developing, testing and deploying numerical software in Python or other high-level programming languages (required)
· masters or PhD in geophysics, mathematical modelling, or related field
· a strong background in computational methods for data processing and modelling, such as simulation, Monte Carlo simulation, or potential field inversion techniques
· experience working with noisy and complex datasets
· experience in developing, optimising and validating machine learning techniques
· a strong background in statistics and statistical analysis including Bayesian methods
· demonstrated ability to effectively communicate complex ideas and problem solve within fast-paced team environments
· a history of thriving in diverse environments that value honesty, open communications, and strong bonds between team members.
If you think you’re right for the role, but don’t have some of these skills, reach out – we’d love to talk anyway.