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FRFraunhofer-Gesellschaft

Working Student in the Field of Computer Vision(m/w/x)

Darmstadt
Part-timeWorking StudentOn-site
AI/ML
Data Science

Object detection with YOLO/RT-DETRv2, image classification using Transformers/CNNs at application-oriented research organization. Solid Python knowledge mandatory, ML focus in computer vision preferred. Flexible working hours, state-of-the-art infrastructure.

Requirements

  • Study in computer science, mathematics, or related field; ML focus, ideally computer vision
  • Solid ML knowledge
  • Familiarity with neural network architectures (vision transformers, CNNs)
  • Familiarity with basic ML concepts (classification, hyperparameter optimization, fine-tuning, model evaluation)
  • Solid Python knowledge (mandatory)
  • Advantageous: independent implementation of scientific methods
  • Advantageous: cybersecurity knowledge and experience
  • Willingness to face new challenges
  • Strong analytical thinking

Tasks

  • Implement computer vision for visual age estimation
  • Perform object detection using YOLO and RT-DETRv2
  • Classify images with Transformers, CNNs, and GNNs
  • Perform image captioning using vision-language models
  • Answer visual questions with vision-language models
  • Conduct multimodal search using vision-language models
  • Perform image segmentation using SAM-3 and DINO-3
  • Develop interactive and explainable classification systems
  • Clean, prepare, split, and visualize data
  • Crawl and scrape data when necessary
  • Implement ML methods like hyperparameter optimization
  • Apply binary, multi-class, and multi-label classification
  • Utilize ensemble methods for machine learning
  • Evaluate and benchmark ML models with standardized metrics
  • Perform functional tests for machine learning models
  • Develop UIs and web apps using common frameworks
  • Collaborate on publicly funded and industry projects

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Neural Networks
  • Vision Transformers
  • CNNs

Benefits

Flexible Working

  • Flexible working hours

Startup Environment

  • Inspiring work environment

Modern Office

  • State-of-the-art infrastructure

Other Benefits

  • Practical experience
  • Valuable contacts in research
  • Possibility for bachelor's and master's thesis
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