PhD Candidate: Explainable AI for Synthetic Media Analysis

Kiran Raja; Gjøvik; On-site; NOK 470,000 - 580,000; Full time

Job summary

NTNU invites applications for a PhD candidate in machine learning at the Department of Computer Science (IDI), NTNU, Gjøvik. The position is a three-year full-time doctoral appointment based at Gjøvik campus.

You will work in a strong international research environment, focusing on authenticating visual content, explainability, and robust evaluation, with opportunities to publish internationally.

Qualifications

• Master's degree or equivalent in computer science, AI, ML, CV or signal processing.
• Admission to the IE faculty's Doctoral Programme is required.

Responsibilities

• Develop machine-learning methods for detecting, localizing, or characterizing synthetic visual content.
• Study representations learned by large pretrained visual or multimodal encoders and adaptation strategies.
• Design explanation methods linking predictions to meaningful evidence.
• Evaluate robustness and transfer to unseen datasets and manipulation processes.
• Investigate uncertainty, calibration, and reliability measures for responsible decisions.
• Publish results in peer-reviewed venues and participate in doctoral training.

Education

Master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision, or signal processing

Job description

NTNU invites applications for a PhD candidate in machine learning at the Department of Computer Science (IDI), NTNU, Gjøvik. The position is a three-year full-time doctoral appointment based at Gjøvik campus.

You will work in a strong international research environment, focusing on authenticating visual content, explainability, and robust evaluation, with opportunities to publish internationally.