Research Student Assistant in Traffic Video Anomaly Understanding

Job description
We are seeking a research student assistant interested in computer vision, video understanding and multimodal artificial intelligence. The project addresses abnormal, risky and assistance-requiring events involving vulnerable individuals, including people with disabilities, in traffic-related environments.
The assistant will help prepare traffic accident and fall-related video datasets, collect and annotate publicly available videos, and develop event labels for temporal boundaries, spatial locations, causes and severity. Tasks also include preparing question–answer data, supporting the post-training and evaluation of a vision–language model, assessing event detection and spatiotemporal localization, and documenting experiments and research results.
Qualifications
Requirements
You should be admitted to first or second-level cycle education at a Swedish university
Preferred qualifications
Student at KTH
Knowledge of Python, machine learning and computer vision; experience in video processing, dataset preparation or annotation is an advantage.
Experience with vision–language models, PyTorch, model fine-tuning, video anomaly detection or evaluation of AI systems is an advantage.
Great emphasis will be placed on personal skills.
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH
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Application
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CV
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Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
About the employment
The employment is valid for a limited time according to the agreement - for up to 3 months, with access according to agreement.
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