Internship in AI for Engineering Design (F/M/D)

CSEM offers an on-site internship in Neuchâtel for students to apply machine learning to inverse design and physics-based engineering simulations.

This position bridges artificial intelligence and physics-driven engineering. The candidate will join a cross-functional group to apply machine learning techniques to inverse design and simulation challenges, supporting the development and evaluation of models that optimize device geometries or speed up physical simulations.

Responsibilities

• Build and test machine learning optimization workflows that connect with physics simulators.
• Train and assess neural network models using photonic or electromagnetic simulation datasets.
• Review outcomes, contrast AI-created designs with human-made baselines, and record observations.
• Work alongside photonics and electromagnetics specialists to verify that machine learning outputs remain physically consistent.
• Prepare internal technical documentation and potentially contribute to academic publications if findings are significant.

Requirements

• Active enrollment in a Master’s degree program in electrical engineering, physics, computer science, or a closely related discipline.
• Demonstrated understanding of machine learning and deep learning through academic courses or personal projects.
• Strong coding abilities in Python, along with hands-on experience using PyTorch or TensorFlow.
• Comfortable working within Linux environments and utilizing Git for version control.
• Effective verbal and written communication skills in English.

Nice to have

• Ability to communicate in French.
• Knowledge of optimization techniques such as Bayesian optimization, genetic algorithms, or gradient-based methods.
• Familiarity with physics-informed or scientific machine learning approaches.
• Academic or professional background in photonics, electromagnetics, or computational physics.
• Previous exposure to simulation software like COMSOL or similar platforms.

About the company

CSEM focuses on leveraging artificial intelligence to speed up the design of complex physical systems. The organization is dedicated to developing and transferring innovative technologies to the Swiss industrial sector. It emphasizes strong organizational values to foster both professional success and a balanced, harmonious work environment for all staff members.

• Advancing artificial intelligence for complex physical system design.
• Transferring innovative technologies to the Swiss industry.
• Promoting strong values for organizational success and employee well-being.