PhD in Multiscale Modeling of Smart Self-Sealing Materials

Official university vacancy imported from University of Amsterdam. Details are presented for discovery and may change. Confirm the latest requirements and apply on the official source.

• Use coarse-grained and atomistic simulations to understand the interactions between peptides and surfaces, including MOFs, and unravel the physical mechanisms of their aggregation at these surfaces.
• Build a highly coarse-grained model for MOFs with tunable pore and surface chemistry and study the physicochemical properties of peptides loaded into the materials.
• Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands of MOF-peptide combinations, prioritizing the most promising systems for detailed simulation and experiment.
• Closely collaborate with your experimental colleague to link computational and experimental results.
• Contribute to the validation of the experiments at TNO, publish and present your results, contribute to the supervision of BSc/MSc students
• Publish and present your work within the project consortium and on international scientific platforms
• Contribute to the teaching activities of the department.
• Master’s degree (or equivalent) in chemistry, physics, computational science, biochemistry, physical chemistry or a closely related field.
• Demonstrated experience with molecular simulations (coarse-grained and atomistic) and/or experience with machine learning techniques (e.g. VAE, UMAP, surrogate models).
• Working carefully and reproducibly, document simulation conditions and results clearly, and are motivated to analyse complex data and connect these results to experimental results.
• Excellent programming skills (e.g. C, Python).
• Excellent communication skills in oral and written English and Dutch.
• Strong initiative and excellent time management skills.
• Open to collaborate with students (BSc/MSc), PhDs and PDs involved in related project and research groups within and outside the Netherlands.
• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• multiple courses to follow from our Teaching and Learning Centre;
• multiple courses on topics such as leadership for academic staff;
• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• partly paid parental leave;
• the possibility to set up a workplace at home;
• a pension at ABP for which UvA pays two third part of the contribution;
• the possibility to follow courses to learn Dutch;
• A motivation letter (max. 1 pages A4)
• Your CV, including the months (not just years) when referring to your education and work experience, including a list of publications
• Contact details of at least one academic reference