Research Assistant — Canine AI Motion Analysis

University College Dublin

Ireland

On-site

EUR 28,000 - 32,000

Full time

10 days ago

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Job summary

University College Dublin invites applications for a 6-month, full-time Research Assistant in the UCD School of Veterinary Medicine. The role supports an interdisciplinary project to develop an AI platform for spinal motion analysis in dogs, focusing on data curation and motion-tracking algorithms.

You will work with Maria Jose Gomez Sanchez and Dr. Emer Doheny, applying machine learning, segmentation and computer vision to video datasets.

Qualifications

  • Master's degree in computer science or a related discipline.
  • Demonstrated expertise in Machine Learning.
  • Expertise in segmentation methods and computer vision algorithms.
  • Understanding of annotating video data for AI models.
  • Excellent Python programming skills.
  • Self-motivated with excellent organisational and communication skills.
  • Ability to work on own initiative and within a multidisciplinary team.
  • Experience working to deadlines.
  • Awareness of equality, diversity and inclusion agenda.
  • Experience applying segmentation and computer vision algorithms to video datasets.
  • Experience working with animal video datasets.

Responsibilities

  • Support development of AI-enabled motion tracking algorithms.
  • Curate and manage video datasets.
  • Collaborate with Veterinary Medicine and Electrical & Electronic Engineering teams.
  • Contribute to interdisciplinary commercialisation project.

Skills

Machine Learning
Python
Computer Vision
Segmentation
Video Annotation
Gait Analysis
Biomechanics

Education

Master's degree in computer science or related

Job description

University College Dublin invites applications for a 6-month, full-time Research Assistant in the UCD School of Veterinary Medicine. The role supports an interdisciplinary project to develop an AI platform for spinal motion analysis in dogs, focusing on data curation and motion-tracking algorithms.

You will work with Maria Jose Gomez Sanchez and Dr. Emer Doheny, applying machine learning, segmentation and computer vision to video datasets.

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