In the last few years, artificial intelligence (AI) has been driving progress in a multitude of tasks, e.g., predict chemical reactions and protein folding, and design novel bioactive molecules. AI is still in its infancy in the natural sciences, and its potential must be untapped in a timely and interdisciplinary way.
The Molecular Machine Learning lab (Chemical Biology group) is searching for a PhD candidate to join the team, and work at the interface between chemical biology and artificial intelligence. The research team is led by Dr. Francesca Grisoni, an Assistant Professor at the Dept. of Biomedical Engineering. We offer an interdisciplinary and international environment, with opportunities to collaborate with domain specialists within TU/e, as well as international researchers. The team is oriented towards developing novel AI tools and approaches to help answer key questions about the biological functions of small molecules and peptides, and to design innovative molecules with desired biological functions.
The PhD position will be computation-centered and dedicated to improving the state-of-the-art methods used in Medicinal Chemistry and Chemical Biology, with a strong focus on the development of innovative ways to address pressing questions in the field. The PhD project will have machine/deep learning at its core, with applications to several tasks like molecular property prediction, ligand-protein interaction identification, and de novo drug design.
Are you eager to push the boundaries of AI, at the fast-paced interface between machine learning and chemical biology? Then, this position might be for you! Ideally, you are fascinated by the opportunities of AI in driving novel discoveries. You have a quantitative and proactive mentality, and you are at ease with interdisciplinary and out-of-the-box thinking. You are willing to work alongside other specialists, and to acquire novel skills at the interface between data science and natural sciences.Functie-eisen
If you recognize yourself in this profile and would like to know more, please contact
dr. Francesca Grisoni at f.grisoni[at]tue.nl.
For information about terms of employment, please contact Sascha Sanchez,
HR advisor, s.j.m.g.sanchez.van.oort[at]tue.nl or +31 40 247 73 10.
Please visit www.tue.nl/jobs to find out more about working at TU/e!
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