Machine Learning for Analysis of Nuclear Magnetic Resonance (NMR) Spectra

The PhD in Science and Technology of Bio and Nanomaterials, will be awarded by Ca’ Foscari University of Venice.

We offer a four year position: The PhD student will spend three years in Venice and one year at Zurich University of Applied Sciences (in Winterthur, close to Zurich). For the year in Switzerland a significant higher compensation is offered due to the higher cost of living in the Zurich area.

Your responsibilities:
• Develop machine learning tools for the analysis of NMR spectra
• Become an expert in the field of machine learning for NMR technology, with a track record of published own research results and successful technology transfer
• Apply for the PhD Program at Università Ca’ Foscari Venice.

The successful candidate has finished a Master’s degree in physics, physical chemistry, or computer science at a research university or a university of applied sciences within the last two years. He or she must have reliable experience in neural networks (e.g., done coursework and own experimentation, ideally proven by successful projects or publications). We expect a good command as well as a passion for programming, ideally in python. Good communication skills in English are also crucial for the work in multidisciplinary teams. The ideal candidate has sound knowledge of Nuclear Magnetic Resonance and is interested in understanding the underlying quantum mechanics. The PhD candidate will be part of an interdisciplinary team of researchers at Ca’ Foscari University of Venice and ZHAW. Particular emphasis is given to developing prototypes, experimenting hands-on with data, and scientific evaluation and publication of results.
Please address further enquiring to Prof. Achille Giacometti ( )