Information Technology jobs in United Kingdom

MERL is seeking a motivated and qualified individual to conduct research on physics-informed neural network-based modeling for electric motor design optimization. Ideal candidates should be Ph.D. students with a solid background and proven publication record in one or more of the following research areas:

1. 2D/3D electromagnetic modeling and simulation
2. Analytical modeling methods for electromagnetics and iron losses (e.g., magnetic equivalent circuit)
3. Machine learning-based surrogate modeling

Strong coding skills with ANSYS or open-source FEM software and Python-based learning libraries are required. Prior experience with running jobs over clusters is a plus. The start date is flexible, and the duration is 3-6 months.

• Experience with modeling and simulations for motor design

Note: MERL provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, or genetic information. MERL complies with applicable laws governing nondiscrimination and prohibits workplace harassment based on these attributes. Employment is contingent upon full authorization to work in the U.S. and compliance with export control regulations, which may affect employment start date and access to certain information and technology.