PhD: AI-Driven Kinase Drug Discovery & Open Science

Leiden University; Leiden; On-site; EUR 36,000 - 48,000; Full time

Job summary

Leiden University in the Netherlands seeks a highly motivated researcher to conduct original work in deep learning, AI, and cheminformatics for kinase drug discovery. You will develop and benchmark models, datasets, and decision-support dashboards following FAIR and open-science principles.

You will collaborate with experimental and computational teams, undertake research secondments abroad, publish in top journals, and contribute to educational activities while writing your dissertation.

Qualifications

• MSc in CS/AI/chemistry or related field.
• Strong ML/DL knowledge with PyTorch.
• Experience with cheminformatics or computational chemistry.
• Excellent English writing and speaking.

Responsibilities

• Conduct original research in deep learning, AI, and cheminformatics for kinase drug discovery.
• Develop, benchmark and openly share models, datasets and dashboards.
• Collaborate with experimental and computational teams and carry out secondments abroad.
• Publish and present in international journals and conferences.
• Participate in network-wide training events and outreach activities.
• Contribute to educational activities.
• Write a dissertation.

Skills

Python programming

English proficiency

Machine learning / deep learning

Team collaboration

Mobility & travel willingness

Education

MSc in Computer Science or related field

Tools

PyTorch

RDKit

Job description

Leiden University in the Netherlands seeks a highly motivated researcher to conduct original work in deep learning, AI, and cheminformatics for kinase drug discovery. You will develop and benchmark models, datasets, and decision-support dashboards following FAIR and open-science principles.

You will collaborate with experimental and computational teams, undertake research secondments abroad, publish in top journals, and contribute to educational activities while writing your dissertation.