Fraunhofer-Gesellschaft
Werkstudierende im Bereich NLP(m/w/x)
Part-timeWorking StudentOn-site
Darmstadt
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FRFraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
Darmstadt
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Feature extraction for AI-generated text attribution and style change detection at research organization. Profound ML/DL knowledge, including Neural Network architectures and Python expertise, required. Flexible hours, valuable research contacts, and thesis possibility.
Requirements
- Profound knowledge in Machine/Deep Learning
- Familiarity with Neural Network architectures (Transformer, MLP, 1D-CNNs)
- Familiarity with ML concepts (classification, hyperparameter optimization, fine-tuning, model evaluation)
- Mandatory profound knowledge of Python
- Advantageous: independent implementation of methods from scientific publications
- Advantageous: knowledge and experience in cybersecurity
- Willingness to face new challenges
- Strong analytical thinking
Tasks
- Perform feature extraction (LLM, embedding, classical methods).
- Implement style change detection algorithms.
- Detect AI-generated text content.
- Attribute AI-generated text to specific LLMs.
- Optimize authorship analysis for attribution and verification.
- Implement LLM-based classification (zero/few shot, fine-tuning).
- Apply deep learning classification (CNNs, transformers, Siamese NNs).
- Use classical classification methods (SVM, random forest, kNN).
- Implement ensemble methods (stacking, voting, weighting, calibration).
- Evaluate ML models with ROC, AUC, and confusion matrices.
- Develop UIs and web apps (fastHTML, Streamlit, Gradio, Angular, Svelte).
- Collaborate on publicly funded and industry-commissioned projects.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
- Neural Networks
- Transformer
- MLP
- 1D-CNNs
- Python
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Practical experience
- Valuable contacts in research
- Possibility for bachelor's and master's thesis
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.
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FRFraunhofer-Gesellschaft
Working Student in the Field of NLP(m/w/x)
Darmstadt
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Feature extraction for AI-generated text attribution and style change detection at research organization. Profound ML/DL knowledge, including Neural Network architectures and Python expertise, required. Flexible hours, valuable research contacts, and thesis possibility.
Requirements
- Profound knowledge in Machine/Deep Learning
- Familiarity with Neural Network architectures (Transformer, MLP, 1D-CNNs)
- Familiarity with ML concepts (classification, hyperparameter optimization, fine-tuning, model evaluation)
- Mandatory profound knowledge of Python
- Advantageous: independent implementation of methods from scientific publications
- Advantageous: knowledge and experience in cybersecurity
- Willingness to face new challenges
- Strong analytical thinking
Tasks
- Perform feature extraction (LLM, embedding, classical methods).
- Implement style change detection algorithms.
- Detect AI-generated text content.
- Attribute AI-generated text to specific LLMs.
- Optimize authorship analysis for attribution and verification.
- Implement LLM-based classification (zero/few shot, fine-tuning).
- Apply deep learning classification (CNNs, transformers, Siamese NNs).
- Use classical classification methods (SVM, random forest, kNN).
- Implement ensemble methods (stacking, voting, weighting, calibration).
- Evaluate ML models with ROC, AUC, and confusion matrices.
- Develop UIs and web apps (fastHTML, Streamlit, Gradio, Angular, Svelte).
- Collaborate on publicly funded and industry-commissioned projects.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- Deep Learning
- Neural Networks
- Transformer
- MLP
- 1D-CNNs
- Python
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Practical experience
- Valuable contacts in research
- Possibility for bachelor's and master's thesis
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.
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