PhD Positions in Explainable NLP for Healthcare

University of Amsterdam

Netherlands

Sur place

EUR 36 000 - 45 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Holiday allowance 8%
Year-end allowance 8.3%
30% ruling (tax)
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Résumé du poste

Two PhD positions are advertised within a Horizon Europe project at the University of Amsterdam. The research focuses on explainability, uncertainty, and trustworthiness in multimodal LLMs for healthcare data, with collaboration across IvI, LTL, and NLP units of ILLC.

The roles suit applicants from NLP, ML, HCI and related fields and involve developing new approaches and demonstrations. The positions will be embedded in IvI/LTL or ILLC with co-supervision by Wilker Aziz and Vlad Niculae.

Qualifications

  • Master’s degree in NLP, ML, CS or related field is required or near completion.
  • Strong background in NLP and machine learning is essential.
  • Comfort with scientific programming and training ML models is expected.
  • Professional command of English is required.

Responsabilités

  • Lead state-of-the-art research on the project.
  • Collaborate with researchers within the network and beyond.
  • Publish papers in peer-reviewed NLP/ML venues.
  • Present work at national and international venues.
  • Assist in teaching bachelor and master courses and supervise final projects.
  • Engage in lab and institute activities and take rotating organisational roles.
  • Complete the PhD thesis within four years.

Connaissances

NLP background
Machine Learning
Scientific programming
English proficiency

Formation

Master’s degree (completed or near completion)

Description du poste

Two PhD positions are advertised within a Horizon Europe project at the University of Amsterdam. The research focuses on explainability, uncertainty, and trustworthiness in multimodal LLMs for healthcare data, with collaboration across IvI, LTL, and NLP units of ILLC.

The roles suit applicants from NLP, ML, HCI and related fields and involve developing new approaches and demonstrations. The positions will be embedded in IvI/LTL or ILLC with co-supervision by Wilker Aziz and Vlad Niculae.

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