Postdoc Position in Human Organoid-Based High-Throughput Systems for Anti-Infective Drug Discovery

Postdoc Position in Human Organoid-Based High-Throughput Systems for Anti-Infective Drug Discovery

EPFL - Swiss Federal Institute of Technology Lausanne

Lausanne, Switzerland

Your mission:

We are excited to announce an open postdoc position on a groundbreaking project focused on the development of novel organoid-based infection models for antimicrobial discovery. The project will be focused on increasing the throughput of human lung microtissue models our lab has developed to study the antibiotic resistant pathogen Pseudomonas aeruginosa. The postdoc will take advantage of state-of-the-art microfabrication, prototyping and bioprinting facilities available in the lab and at EPFL. This innovative project aims to revolutionize the discovery of new anti-infective drugs and to advance our understanding of the mechanisms underlying antimicrobial resistance. The project will include opportunities to interact with a clinical team developing novel phage therapies against resistant P. aeruginosa.

Main duties and responsibilities include:

• Design and engineering of high throughput human lung organoid infection models;
• Data analysis and interpretation, with a strong emphasis on automated image processing;
• Application to screening of anti-infective compounds;
• Application to the investigation and characterization of antimicrobial resistance mechanisms using clinical samples;
• Collaboration with a multidisciplinary team of scientists and researchers to integrate findings into broader anti-infective drug discovery efforts. Collaborative projects will include screening for therapeutic phage for direct clinical applications and in silico drug development using advanced AI-based methods.

Your profile:

• PhD (or nearing completion of) in Bioengineering, Mechanical Engineering, Material Sciences or related field;
• Strong track record in tissue engineering, bioprinting, organoids and/or microfabrication for biological applications;
• Experience with microscopy, image analysis tools and standard coding skills.

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