Internship/Master project: Autonomous synthesis and characterization of thin films

Work Activities

Automated thin-film fabrication, particularly spin coating systems integrated with robotic handling and high throughput characterization now enable the synthesis of hundreds of samples per day, exceeding 500 samples in HELIOS setup built at AMOLF. Producing so many samples requires preparing many precursor solutions with different compositions, which can become a major bottleneck in automated workflows. In this project, we investigate the feasibility of dynamically mixing precursor solutions during the spin-coating process rather than preparing each composition beforehand. You will be operating the autonomous materials synthesis platform, applying machine learning methods for optimization, and integrating concepts from fluid dynamics and robotics to enable accelerated materials discovery.

Qualifications

You are currently enrolled in a Master’s ...