Master's Thesis Position in Computational Biophysical Chemistry of Biomaterials and Food

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We are now looking for Thesis Worker to join our Bioanalytics and biological Data Science team.

We are seeking a highly motivated Master's student interested in the biophysical chemistry of food and biomaterials. We offer several potential thesis topics, and the project can be tailored to match the candidate's scientific interests, background, and career goals.

Potential Thesis Topics 1. Molecular Modelling of Protein-Based Biomaterials

Protein-based materials offer unique opportunities for creating sustainable biomaterials with tunable properties. However, their broader industrial adoption is still limited by challenges related to performance, predictability, and production costs.

Our research focuses on developing multiscale computational models of protein-based materials, ranging from atomistic descriptions of intrinsically disordered proteins to coarse-grained simulations and machine learning approaches for materials design. The ultimate goal is to establish predictive frameworks that connect molecular properties to material performance.

For more information, see:

Nature Communications Chemistry article

Research Leader Programme profile

2. Molecular Interactions in Food Systems

Food materials consist of complex mixtures of proteins, lipids, and polysaccharides. As the food industry