PhD Candidate: Explainable AI for Synthetic Media

Arbeidsplassen; Gjøvik; On-site; NOK 522,000 - 638,000; Full time

Benefits offered by this job

Stimulating research tasks

International academic environment

Collaboration opportunities

Inclusive working environment

Working capital for project

Career guidance

SPK pension

Norwegian language training

Job summary

NTNU in Gjøvik invites applications for a three-year, full-time PhD candidate position in machine learning at the Department of Computer Science (IDI). The successful candidate will pursue a doctoral degree in a strong international research environment and contribute to authenticating visual media using general pretrained representations.

The role focuses on ML method development, explainability, uncertainty, and robust evaluation, with opportunities to publish and present at leading venues.

Qualifications

• Master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision, or signal processing with substantial independent project.
• Strong background in ML and deep learning with experimental methodology.
• Good written and oral English communication skills.

Responsibilities

• Develop ML methods for detecting, localizing, or characterizing synthetic and manipulated visual content.
• Study representations learned by large pretrained visual or multimodal encoders and adaptation strategies.
• Design explanation methods that connect predictions to spatial, temporal, frequency-domain, or semantic evidence.
• Evaluate robustness and transfer to unseen datasets, content sources, and manipulation processes.
• Investigate uncertainty, calibration, and reliability measures for responsible decision-making.
• Develop reproducible benchmarks and evaluation protocols covering predictive quality and efficiency.
• Publish results in peer-reviewed venues and present at conferences and meetings.
• Participate in doctoral training, research-group activities, and collaboration with external environments.

Skills

Python programming

Machine learning

PyTorch or TensorFlow

English communication

Education

Master's degree in CS/AI/ML/vision

Tools

PyTorch

TensorFlow

Job description

NTNU in Gjøvik invites applications for a three-year, full-time PhD candidate position in machine learning at the Department of Computer Science (IDI). The successful candidate will pursue a doctoral degree in a strong international research environment and contribute to authenticating visual media using general pretrained representations.

The role focuses on ML method development, explainability, uncertainty, and robust evaluation, with opportunities to publish and present at leading venues.