Postdoctoral Researcher (Machine Learning)

Job Description

We invite applications for a highly motivated Postdoctoral Researcher to join our interdisciplinary research team advancing machine learning applications in hyperspectral image analysis and plant science. This position focuses on developing, implementing, and optimizing advanced machine learning and deep learning models that integrate spatial and spectral information to improve photosynthetic pigment identification in data obtained from Hyperspectral Confocal Fluorescence Microscopy (HCFM).

The successful candidate will contribute across the full machine learning research aspects, including but not limited to data engineering, data preprocessing, model design, algorithm development, benchmarking, and scientific communication. The position includes opportunities for leadership, mentoring, and project coordination, including supervision of students, participation in proposal development, and contributions to intellectual property and patent applications.