Doctoral student in Feminist AI, Gender-Based Violence

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KTH Royal Institute of Technology

  • Career category: Research/ Data analysis
  • Job type: PhD
  • Experience level: Other (specified in job description)
  • Organisation type: Research
  • Remote option: No
  • Right to work requirements: Anyone can apply
  • Remuneration: Remuneration not disclosed
  • Work schedule: Full-time
  • Length of contract: Temporary/ Fixed-term
  • Deadline: 24/09/2026
  • Location: Sweden
Digital rights GBV / VAWG
Project description

Third-cycle subject: Information and Communication Technology

We at the Department of Computing and Learning Systems (CLS) are seeking a PhD student to join a fully funded research project on Feminist AI Addressing Gender-Based Violence. The project aims to develop novel AI methods that make online gender-based violence visible by detecting not only explicit abuse but also the structural silences and omissions that shape digital narratives. By combining advances in large language models (LLMs), natural language processing (NLP), and machine learning (ML), the project explores how AI can identify missing voices, hidden patterns, and gaps in institutional accountability to support more responsible, transparent, and socially aware AI systems.

The successful candidate will develop novel ML models and evaluation methods, construct large-scale datasets and knowledge graphs, collaborate with feminist organizations and civil society partners, and publish research in leading AI venues. The project offers a unique opportunity to contribute to cutting-edge research at the intersection of AI, equity, and justice.

You will join an interdisciplinary and collaborative research environment that values scientific excellence, intellectual curiosity, diversity, and research with real societal impact. We welcome applicants from all backgrounds and experiences and are committed to fostering an inclusive, respectful, and supportive research culture where everyone can thrive. We believe that diverse perspectives strengthen research and innovation, and we particularly encourage applications from groups that are underrepresented in AI and computer science.

Admission requirements
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge
In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection
In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyze and work with complex issues.

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