PhD Candidate: Responsible AI for Safer Online Space

Universiteit Leiden

Nederland

Hybrid

EUR 36,000 - 45,000

Full time

26 hours ago
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Benefits offered by this job

Laptop provided
Hybrid work within the Netherlands
Home-working allowance

Job summary

Universiteit Leiden collaborates on a PhD Candidate project focusing on responsible AI for online safety within LIACS. The candidate conducts original research, publishes in top venues, and supports teaching as a (head) teaching assistant while preparing a PhD thesis.

The position offers supervisory support from Dr. Valerio La Gatta and Dr. Olga Gadyastkaya, with a clear career path in a dynamic international environment and potential hybrid work within the Netherlands.

Qualifications

  • Master’s degree in CS, AI, DS or related quantitative field.
  • Strong ML background; familiarity with NLP/LLMs a plus.
  • Strong programming skills in Python and DL frameworks (PyTorch).
  • Ability to work independently and in a team; communicate research clearly.
  • Research experience or publications is a plus.
  • Proficiency in English; Dutch not required.

Responsibilities

  • Conduct original research on responsible AI for online safety.
  • Publish and present articles at AI, computational social science, and cybersecurity venues.
  • Contribute to teaching as a (head) teaching assistant and supervise student work.
  • Write a PhD thesis detailing research outcomes.

Skills

Machine learning background
Research experience
English proficiency
Teamwork ability

Education

Master’s degree in CS/AI/DS

Tools

Python
PyTorch

Job description

Universiteit Leiden collaborates on a PhD Candidate project focusing on responsible AI for online safety within LIACS. The candidate conducts original research, publishes in top venues, and supports teaching as a (head) teaching assistant while preparing a PhD thesis.

The position offers supervisory support from Dr. Valerio La Gatta and Dr. Olga Gadyastkaya, with a clear career path in a dynamic international environment and potential hybrid work within the Netherlands.

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