PhD position on AI/NLP/IR at the University of Amsterdam

About the role

The University of Amsterdam seeks an ambitious PhD student with a background in artificial intelligence, natural language processing and information retrieval.

Responsibilities

• Focus on large language models (LLMs) for information access.
• Contribute to the development of AI technologies that enhance the accessibility of digital heritage collections.
• Collaborate with multidisciplinary teams to address the extraordinary challenges posed by cultural heritage.
• Complete a PhD thesis within four years.

Requirements

• Background in artificial intelligence, natural language processing, and information retrieval.
• Strong academic record with relevant coursework or publications.
• Excellent communication and teamwork skills.
• Ability to work independently and as part of a team.

Qualifications

• Master's degree in a relevant field.
• Experience with large language models and information retrieval systems.
• Knowledge of digital humanities and cultural heritage.
• Fluency in English.

Skills

• Strong programming skills (Python, R, etc.)
• Understanding of machine learning and natural language processing techniques.
• Experience with data analysis and visualization tools.
• Excellent problem-solving and analytical skills.

Benefits

• Fully funded position for four years.
• All employment benefits provided by the University of Amsterdam.
• Opportunity to work on cutting-edge AI projects in the context of cultural heritage.

Pay

Salary is commensurate with experience.

Schedule

Full-time employment with standard working hours.

Benefits

• Health insurance.
• Flexible working arrangements.
• Professional development opportunities.

Benefits

• Research support and resources.
• Access to state-of-the-art facilities.
• Networking opportunities with other researchers and professionals.

Application Instructions

Applications should include a detailed CV, a statement of research interests, and contact information for at least two references.

Project #1

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