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Scientific Computing Specialist – Machine Learning
1 month ago
Are you passionate about scientific computing, machine learning, and solving complex inverse problems? Do you thrive in a collaborative environment and want to be part of a small, dynamic team working on cutting-edge geophysical and computational challenges? If so, we want to hear from you
About the role
We are looking for a Scientific Computing Specialist with expertise in machine learning and inverse problems to join our team. In this role, you will apply advanced computational techniques to real-world scientific and engineering challenges. You'll work closely with a team of experts in physics, geophysics, and applied mathematics to develop and implement innovative solutions.
What you'll do
- Develop and apply computational algorithms for inverse problems and machine learning applications.
- Work with large-scale datasets, optimizing performance for complex numerical models.
- Collaborate with a multidisciplinary team to develop and refine scientific computing solutions.
- Contribute to research, publications, and real-world applications in geophysics and related fields.
What we are looking for
- Education: Master's or PhD in physics, mathematics, computer science, engineering, or a related field.
- Expertise: Strong background in scientific computing, machine learning, and inverse problems.
- Experience: Minimum 2 years of experience (or equivalent in academia) working on relevant computational problems.
- Technical Skills: Proficiency in Python, Julia, MATLAB, or other scientific computing languages.
- Collaboration: Ability to work effectively in a small, interdisciplinary team.
- Communication: Strong written and verbal communication skills.
- Location: Based in Vancouver, BC, or willing to relocate.
- Work Authorization: Canadian resident or legal right to work in Canada.
- Position: Full-time.
Why join us?
- Work on cutting-edge computational challenges in a collaborative and innovative environment.
- Contribute to impactful research and applications in geophysics and scientific computing.
- Be part of a small, dedicated team where your contributions make a real difference.
If this sounds like you, we'd love to chat Apply now or reach out for more details.
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