Internship Opportunity

As an intern at Proxima Fusion, you will contribute to the advancement of stellarator optimization for commercially viable fusion power plants. Your responsibilities will include: Stellarator Design and Optimization: Assist in developing and refining stellarator configurations using advanced computational tools and machine learning algorithms. Support the team in exploring new design points that enhance performance and efficiency. Computational Modeling: Conduct simulations and data analysis to evaluate plasma behavior and magnetic field configurations. Collaborate with engineers and scientists to validate models against experimental data from the W7-X stellarator. Machine Learning Integration: Apply machine learning techniques to optimize stellarator designs, including training and testing models that predict performance metrics. Help integrate these models into the design workflow to accelerate discovery. Research and Documentation: Perform literature reviews on fusion technology and stellarator physics. Document findings, methodologies, and results in clear reports and presentations for internal review. Collaboration: Work closely with cross-functional teams, including physicists, engineers, and data scientists, to align design objectives with practical constraints. Participate in team meetings and contribute to brainstorming sessions. Prototyping and Testing: Assist in the development of prototypes or test setups for validating design concepts. Analyze test results and propose iterative improvements. Data Management: Organize and maintain datasets related to stellarator performance, ensuring accessibility and reproducibility for ongoing research projects.

Qualifications and requirements: - Currently pursuing a Bachelor's or Master's degree in Physics, Engineering, Computer Science, or a related field. - Strong foundation in plasma physics, electromagnetism, or fusion technology. - Proficiency in programming languages such as Python, MATLAB, or C++. - Experience with computational modeling or simulation tools (e.g., COMSOL, ANSYS, or similar). - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. - Excellent analytical and problem-solving skills. - Ability to work collaboratively in a fast-paced research environment. - Strong written and verbal communication skills in English.

Proxima Fusion is developing commercially viable fusion power plants based on the W7-X stellarator concept, leveraging advanced computation and machine learning for stellarator optimization.