Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
Responsibilities
Identifying and defining novel ways to apply ML for stellarator design and engineering together with world-leading domain experts.
Integrate ML in data-driven plasma scenarios for net-energy-gain stellarators.
Pursuing real-world applications of ML from the prototyping stage to tools that provide concrete value across the team.
Maintain an active engagement with the broader ML community and ensure that we develop best-in-class ML solutions for the domain of fusion science and engineering.
Bringing together domain experts, including engineers and physicists, to drive and lead Machine Learning initiatives.
Requirements
We are looking for high performers who love challenges and see them as learning opportunities.
We are looking for pragmatic practitioners with a bias to deliver artifacts (e.g., surrogate models) that people use.
You should not be afraid to experiment, take risks and learn from mistakes. We believe in continuous iterations.
You have a track record of getting things done, especially when facing ambiguity.
Hold a Master's degree or higher in physics, mathematics, engineering or similar disciplines.
Have experience applying ML to real-world problems, preferably in an interdisciplinary setting.
Possess strong knowledge of Python software development and the PyData ecosystem.
Are familiar with deployments in cloud environments.
Benefits
You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world.
You'll get to join and learn from an exceptional selection of accomplished and driven individuals.
Do your life’s best work and enjoy the journey.
Get to show that big things are possible in Europe when you assemble the best talent.
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