Assistant Professor - Interdisciplinary Data Science & AI

Leiden University via AcademicTransfer; Netherlands; Hybrid; EUR 66,000 - 85,000; Full time

Benefits offered by this job

Hybrid working in NL

Laptop provided

ABP pension scheme

Public transport reimbursement

29 leave days (minimum)

Job summary

Leiden University invites applications for an Assistant Professor (UD) in data science to develop innovative methods, algorithms, and interdisciplinary applications. The role emphasizes collaboration across mathematics, chemistry, astronomy, physiology, and social sciences, and requires a strong computational focus.

The candidate will teach and supervise students at LIACS and contribute to securing external funding.

Qualifications

• PhD in computer science, artificial intelligence, data science, or related field with strong computational component.
• Ability to collaborate across disciplines and fields.
• Track record or potential in interdisciplinary data science research.

Responsibilities

• Conduct independent research in AI and data science with interdisciplinary impact.
• Teach 1 Bachelor/Master course annually related to research expertise.
• Supervise BSc/MSc/PhD theses and co-supervise PhD students.
• Secure external funding (EU Horizon Europe, ERC, etc.).
• Engage in committees and contribute to LIACS and Leiden University activities.

Skills

PhD in CS/AI/DS

Interdisciplinary collaboration

Research funding experience

Teaching experience

English proficiency

Education

PhD in computer science / AI / data science

Job description

Leiden University invites applications for an Assistant Professor (UD) in data science to develop innovative methods, algorithms, and interdisciplinary applications. The role emphasizes collaboration across mathematics, chemistry, astronomy, physiology, and social sciences, and requires a strong computational focus.

The candidate will teach and supervise students at LIACS and contribute to securing external funding.