PhD Candidate in Biological-Inspired AI for Misinformation Mitigation
Develop AI models inspired by biological systems to detect and curb the spread of misinformation in digital ecosystems.
Best for:Best for computer science PhD candidates with expertise in AI, machine learning, and biological-inspired computational models, seeking to contribute to digital media integrity research.
Overview
This PhD position at NTNU’s Department of Computer Science and Information Systems focuses on advancing AI techniques rooted in biological principles to combat misinformation. The successful candidate will conduct foundational and applied research on bio-inspired AI (Bio-AI) models, adapting them to detect and mitigate the rapid dissemination of false information across social media platforms. The project is based in Trondheim and involves collaboration with the IS-CHI research group, led by Dr. Rune Sætre. The role requires a strong background in computer science, AI, and data-driven methodologies, with an emphasis on interdisciplinary problem-solving and scientific publishing. The candidate will also engage in international conferences, teaching, and mentoring as part of the structured PhD programme in Computer Science.
What you'll do
- Conduct foundational and applied research on bio-inspired AI models to detect and mitigate misinformation spread across digital platforms.
- Develop and refine AI models capable of handling high-dimensional data applications, particularly for misinformation detection.
- Publish research findings in high-impact academic journals and present results at international conferences.
- Engage in teaching, mentoring, and supervising undergraduate or master’s students as part of the PhD programme requirements.
- Collaborate with the IS-CHI research group and participate in interdisciplinary projects related to digital media integrity.
- Develop a research proposal and execute a structured PhD project within the 4-year contract period.
- Contribute to knowledge dissemination through popular science communication and outreach activities.
Requirements
Degree required: Master’s degree in Computer Science, Information Systems, or a related technical field. The master’s thesis must be equivalent to at least 30 ECTS credits.
Degree offered: PhD
Language: English proficiency at an advanced level (equivalent to IELTS 7.0 or TOEFL 100). Basic Norwegian proficiency (B1 level) required from the first day.
Instruction: English
- Strong background in biological-inspired AI concepts and techniques.
- Proficient programming skills (e.g., Python, R, or similar).
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with high-dimensional data analysis and classification methods.
- Excellent written and verbal communication skills in English.
- Basic proficiency in Norwegian or another Scandinavian language (B1 level).
- Must meet NTNU’s admission criteria for the PhD programme in Computer Science.
- Master’s degree must be completed and documented by January 1, 2027.
- Minimum average grade equivalent to B or higher on NTNU’s grading scale.
- No specific nationality or residency restrictions, but adherence to Norwegian export control laws is mandatory.
Funding & terms
How to apply
Deadline: open_until_filled · open until filled
Applicants must submit their application through Jobbnorge, including a CV, character transcripts, a copy of the master’s thesis, a research proposal (max 1500 words), a motivation letter (max 400 words), relevant publications, and contact details for three references. Documentation of completed master’s degree must be provided before starting the position. Applicants with international degrees should include a diploma supplement or a statement from the Norwegian Directorate for Higher Education and Competence.
- CV
- Character transcripts for bachelor’s and master’s degrees
- Copy of master’s thesis (or draft if recently submitted)
- Research proposal (max 1500 words)
- Motivation letter (max 400 words)
- Publications or relevant research work
- Attestations (if applicable)
- Contact details for three references
- Diploma supplement or statement from the Norwegian Directorate for Higher Education (for international degrees)
Contact
NTNU Recruitment Office· Recruitment Coordinator
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