Doctoral Student in Feminist AI Addressing Gender-Based Violence
Join a fully funded PhD project at KTH exploring feminist AI methods to detect online gender-based violence and structural silences.
Best for:Best for computer science graduates with a strong foundation in NLP, machine learning, and an interest in social equity and justice applications.
Overview
The Department of Computing and Learning Systems (CLS) at KTH Royal Institute of Technology invites applications for a fully funded doctoral position focused on developing feminist artificial intelligence frameworks to address online gender-based violence. The successful candidate will work at the intersection of machine learning, natural language processing, and social equity, building models that detect explicit abuse as well as hidden digital narratives and structural omissions. Responsibilities include designing novel machine learning algorithms, constructing large-scale datasets, collaborating with civil society and feminist organizations, and publishing findings in leading venues. Applicants are expected to possess a strong background in computer science or related fields, excellent teamwork abilities, and a commitment to interdisciplinary research with real societal impact.
What you'll do
- Develop novel machine learning and natural language processing models to identify online gender-based violence and structural silences in digital narratives.
- Construct large-scale datasets and knowledge graphs to capture missing voices and hidden patterns in institutional data.
- Collaborate closely with feminist organizations, civil society partners, and interdisciplinary research colleagues.
- Publish research outcomes in leading international artificial intelligence venues and conferences.
- Contribute to departmental tasks such as limited teaching or administrative duties up to a maximum of 20% of total working time.
Requirements
Degree required: Second cycle degree (e.g., Master's degree) or completed course requirements of at least 240 higher education credits with at least 60 second-cycle credits
Degree offered: PhD
Language: English equivalent to English B/6
Instruction: English
- Strong background in machine learning, natural language processing, or artificial intelligence
- Demonstrated ability to independently pursue research and analyze complex problems
- Strong collaboration and teamwork skills with a professional approach
- Goal-oriented and persevering work ethic
- Meet basic eligibility requirements for postgraduate education under the Swedish Higher Education Ordinance
- Must be admitted to postgraduate education at KTH to hold the doctoral employment
Funding & terms
How to apply
Please consult the KTH recruitment portal to submit your formal application including all required documentation. Ensure your submission meets all stated eligibility requirements and includes relevant academic credentials.
- CV
- Master's degree certificate and transcripts
- English language proficiency test results
Contact
Amir Hossein Payberah· Associate Professor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.