Posted 23 July, 2026
Magnet Research & Modelling Intern
Openstar
Wellington, WGN, NZ
Full Time
Reference: 74db0a54113305b1
Job Description
Equal Opportunity Statement: We are an equal opportunity employer and are committed to creating an inclusive and diverse workplace. We believe that diversity strengthens our team and are dedicated to providing a work environment free from discrimination and harassment. Support the Magnet Technologies team to model and analyse the high‑temperature superconducting magnets and power systems at the heart of our levitated dipole machine. About the Role Join OpenStar Technologies’ Magnet Technologies team to help model and analyse the high‑temperature superconducting magnets and power systems that power our levitated dipole reactor. You’ll use multiphysics simulation to translate system‑level performance goals into validated magnet designs, all while working in a collaborative, interdisciplinary environment based in Wellington, New Zealand. Key Responsibilities Optimize magnet and power system designs using multiphysics simulation software (e.g., ANSYS EM, ANSYS Structural, COMSOL, FEMM) Model system components such as core magnets and HTS transformer rectifiers, translating system‑level performance goals into design parameters Develop design tools, data analysis software, and algorithms in Python or a similar language Design Support Develop specifications for magnets and related components based on system design and performance goals Analyze design trade‑offs and document recommendations supported by your modelling results Reporting & Collaboration Track and report results and progress against project goals and milestones Communicate and collaborate with internal engineering stakeholders on model assumptions and findings Key Relationships Magnet Technologies engineers HTS Rectifiers team Plasma and Subsystems teams – system‑level requirements What We’re Looking For Experience with multiphysics simulation software (e.g., ANSYS, COMSOL, FEMM) Working knowledge of Python or a similar language for modelling and data analysis Ability to work through and solve highly multidisciplinary engineering problems Proactive, independent work ethic complemented by strong teamwork skills Excellent communication and collaboration abilities Innate desire to learn, innovate, and critically evaluate ideas, including one’s own Currently enrolled in a Bachelor's degree (or higher) in physics, electrical, mechanical, or materials engineering, or a related discipline #J-18808-Ljbffr