PhD Candidate in Algorithmic Fairness: The Norwegian University of Science and Technology (NTNU) invites applications for a PhD candidate position focused on algorithmic fairness in recommender systems, specifically in the job recommendation domain. This research aims to address the challenges posed by biased algorithms and promote fairness in decision-making processes.
PhD Candidate in Algorithmic Fairness in Recommender Systems
Designation
PhD Candidate
Research Area
Algorithmic Fairness in Recommender Systems
Location
NTNU, Trondheim, Norway
Eligibility/Qualification
- Relevant Master’s degree in Computer Science or equivalent (120 credits at master’s level).
- Strong academic background with an average grade of B or better.
- Proficient understanding of artificial intelligence (AI) concepts and techniques.
- Good programming skills.
- Excellent written and oral communication skills in English.
Job Description
- Conduct high-quality research to complete your doctoral education.
- Explore and experiment with fairness techniques in job recommender systems.
- Take relevant courses to enhance technical knowledge as needed.
- Publish research findings and present at international conferences.
- Collaborate with national and international partners, including those from NorwAI.
How to Apply
Interested candidates must submit the following documents electronically via Jobbnorge.no:
- Transcripts and diplomas for Bachelor’s and Master’s degrees
- CV
- Copy of Master’s thesis or draft
- Project outline (max 1500 words)
- Short letter of motivation (400 words)
- Any relevant publications and certifications
- Names and contact information of three referees
Last Date to Apply
December 12, 2025
For more information about the application process and to apply, visit the NTNU webpage.
