Job Description

Job Overview:

We are looking for an innovative PhD in Mathematics to contribute to the development of mathematical models and algorithms essential for optimizing the design of Rare Earth Free Permanent Magnets and enhancing the efficiency of electric motors and related technologies. The role will focus on the application of mathematical theories in data analysis, machine learning, and optimization.

Key Responsibilities:

• Develop and apply mathematical models to optimize the design and performance of permanent magnets and associated technologies.
• Collaborate with physicists and engineers to solve complex problems related to magnetism, energy systems, and material science.
• Contribute to the development of machine learning algorithms for predictive maintenance, process optimization, and automation in the research process.
• Analyze large datasets to extract meaningful patterns and inform design decisions.
• Publish research findings in high-impact journals and conferences.
• Stay updated with the latest advancements in applied mathematics, machine learning, and optimization techniques.

Qualifications:

• PhD in Mathematics with a focus on applied mathematics, optimization, or computational modeling.
• Strong knowledge of mathematical modeling techniques, statistical analysis, and computational mathematics.
• Excellent problem-solving skills and ability to think critically and creatively.

Job Type: Full-time

Pay: ?20,000.00 - ?35,000.00 per month

Schedule:

• Day shift

Experience:

• total work: 1 year (Preferred)

Work Location: In person