Fraunhofer-Gesellschaft
Working Student in the Field of Computer Vision(m/w/x)
Part-timeWorking StudentOn-site
Darmstadt
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FRFraunhofer-Gesellschaft
Student Assistant for the VisPer Project(m/w/x)
Darmstadt
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Applying object detection and image classification with YOLO, Transformers, and VLMs in application-oriented research. Solid Python knowledge and ML focus in studies essential. Direct involvement in pioneering technology development for economy and society.
Requirements
- Study in computer science, mathematics, or related field (ML focus, ideally computer vision)
- Solid knowledge in ML
- Familiarity with neural network architectures (vision transformers, CNNs)
- Familiarity with basic ML concepts (classification, hyperparameter optimization, fine-tuning, model evaluation)
- Mandatory solid Python knowledge
- Advantageous: independent implementation from scientific publications
- Advantageous: cybersecurity knowledge and experience
- Willingness to face new challenges
- Strong analytical thinking
Tasks
- Apply object detection methods like YOLO and RT-DETRv2.
- Classify images with architectures like Transformers, CNNs, and GNNs.
- Develop image description models using Vision-Language Models.
- Implement visual question answering with VLMs.
- Conduct multimodal search using Vision-Language Models.
- Perform image segmentation (e.g., SAM-3, DINO-3).
- Develop interactive and explainable classification systems.
- Clean, prepare, and split data for ML experiments.
- Visualize data for machine learning.
- Crawl and scrape data when necessary.
- Implement common ML methods (e.g., hyperparameter optimization).
- Apply binary, multi-class, or multi-label classification.
- Utilize ensemble methods in ML experiments.
- Evaluate and benchmark ML models with standardized metrics.
- Conduct functional tests for ML systems.
- Develop user interfaces and web applications.
- Utilize web development frameworks (e.g., Streamlit, Flask/FastAPI).
- Participate in publicly funded projects.
- Contribute to industry-commissioned projects.
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Machine Learning
- Computer Vision
- 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
- Diversity promotion
- Solutions for disabled applicants
Purpose-Driven Work
- Preference for disabled persons
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Fraunhofer-Gesellschaft
Studentische Hilfskraft(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Werkstudierende im Bereich Computer Vision(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Werkstudierende im Bereich NLP(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt
FRFraunhofer-Gesellschaft
Student Assistant for the VisPer Project(m/w/x)
Darmstadt
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Applying object detection and image classification with YOLO, Transformers, and VLMs in application-oriented research. Solid Python knowledge and ML focus in studies essential. Direct involvement in pioneering technology development for economy and society.
Requirements
- Study in computer science, mathematics, or related field (ML focus, ideally computer vision)
- Solid knowledge in ML
- Familiarity with neural network architectures (vision transformers, CNNs)
- Familiarity with basic ML concepts (classification, hyperparameter optimization, fine-tuning, model evaluation)
- Mandatory solid Python knowledge
- Advantageous: independent implementation from scientific publications
- Advantageous: cybersecurity knowledge and experience
- Willingness to face new challenges
- Strong analytical thinking
Tasks
- Apply object detection methods like YOLO and RT-DETRv2.
- Classify images with architectures like Transformers, CNNs, and GNNs.
- Develop image description models using Vision-Language Models.
- Implement visual question answering with VLMs.
- Conduct multimodal search using Vision-Language Models.
- Perform image segmentation (e.g., SAM-3, DINO-3).
- Develop interactive and explainable classification systems.
- Clean, prepare, and split data for ML experiments.
- Visualize data for machine learning.
- Crawl and scrape data when necessary.
- Implement common ML methods (e.g., hyperparameter optimization).
- Apply binary, multi-class, or multi-label classification.
- Utilize ensemble methods in ML experiments.
- Evaluate and benchmark ML models with standardized metrics.
- Conduct functional tests for ML systems.
- Develop user interfaces and web applications.
- Utilize web development frameworks (e.g., Streamlit, Flask/FastAPI).
- Participate in publicly funded projects.
- Contribute to industry-commissioned projects.
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Machine Learning
- Computer Vision
- 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
- Diversity promotion
- Solutions for disabled applicants
Purpose-Driven Work
- Preference for disabled persons
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Working Student in the Field of Computer Vision(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Studentische Hilfskraft(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Werkstudierende im Bereich Computer Vision(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Werkstudierende im Bereich NLP(m/w/x)
Part-timeWorking StudentOn-siteDarmstadt