PhD Candidate: AI-Driven Kinase Drug Discovery Network

Universiteit Leiden; Leiden; On-site; EUR 33,000 - 40,000; Full time

Job summary

Universiteit Leiden invites applications for a PhD position (Doctoral Candidate 10) within the ANA-KIN MSCA Doctoral Network. The project focuses on deep-learning-enabled kinase drug discovery and interdisciplinary collaboration across Europe and the USA.

You will develop AI-driven, multi-modal models and contribute to consortium-wide training and secondments. You will work under renowned supervision at Leiden University, with secondments at partner organizations in Belgium and across the

Qualifications

• Master’s degree in a relevant field is required.
• Experience with deep learning or AI in chemical biology is desirable.
• Strong computational and data-analysis skills.

Responsibilities

• Conduct original research in deep learning and cheminformatics for kinase drug discovery.
• Develop and share models and decision-support dashboards following FAIR and open-science principles.
• Collaborate closely with experimental and computational DCs across the ANA-KIN network.
• Publish and present scientific articles at international journals and conferences.
• Participate in ANA-KIN network-wide training events, schools and outreach activities.
• Contribute to educational activities.
• Write a dissertation.

Skills

Deep learning

AI

Cheminformatics

Education

MSc degree in Computer Science, AI, (Computational) Chemistry, Bioinformatics, Biopharmaceutical Sciences, or a relevant related field

Job description

Universiteit Leiden invites applications for a PhD position (Doctoral Candidate 10) within the ANA-KIN MSCA Doctoral Network. The project focuses on deep-learning-enabled kinase drug discovery and interdisciplinary collaboration across Europe and the USA.

You will develop AI-driven, multi-modal models and contribute to consortium-wide training and secondments. You will work under renowned supervision at Leiden University, with secondments at partner organizations in Belgium and across the