Postdoc in Machine Learning for Combating Antimicrobial Resistance - DTU Chemistry

We are seeking a postdoctoral researcher to develop machine learning and generative modelling methods to design resistance-proof antibiotics, joining an interdisciplinary team at DTU Chemistry.

Requirements

• Developing and training generative protein models to predict plausible current and future resistance variants.
• Designing large scale DNA libraries with generative synthesis models, translating in silico predictions into physical gene libraries for experimental testing.
• Building and evaluating probabilistic deep learning models to predict bacterial growth from protein sequence and compound molecular structure.
• Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse resistance mechanisms.

Benefits

• DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice.
• Competitive salary and terms of employment based on the collective agreement with the Danish Confederation of Professional Associations.
• Two-year employment as a full-time postdoctoral researcher, starting July 1, 2026.