Postdoc Researcher in Generative AI for Nanomedicine Design

Join TU Delft to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. The job requires developing generative AI models for NP formulation design, coupling them with counterfactual explanation methods, and co-supervising doctoral candidates. This position offers a unique opportunity to shape an emerging field in trustworthy AI for personalized nanomedicine.

Requirements

• PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a closely related field.
• Demonstrated expertise in generative models for molecular or materials design, with at least one first-author publication using variational autoencoders, diffusion models, normalizing flows, or reinforcement learning-based design optimization.
• Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks.
• Ability to work independently, formulate research questions, and drive projects to publication.
• Excellent written and spoken English.

Benefits

• Salary and benefits are in accordance with the Collective Labour Agreement for Dutch
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package every year.
• Discount with health insurers on supplemental packages.
• Flexible working week.
• Every year, 232 leave hours (at 38 hours).
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave