Working Student in the Field of NLP

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City:
Darmstadt
Date:
Apr 11, 2026

Working Student in the Field of NLP

The Fraunhofer-Gesellschaft ( is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

The Fraunhofer Institute for Secure Information Technology SIT is one of the leading research and development institutions for cybersecurity in Germany and Europe and is part of ATHENE, the national research center for applied cybersecurity. ATHENE is a cooperation between the Fraunhofer Society, TU Darmstadt, Darmstadt University of Applied Sciences, and Goethe University Frankfurt. Our common goal: to make the world of tomorrow safer.

Be part of change

Implementation of Natural Language Processing (NLP) approaches, including:Feature extraction (LLM-supported, embedding-based as well as "classical" feature engineering)Style change detection algorithmsDetection of AI-generated text content and attribution of which LLM generated which textOptimization of existing authorship analysis methods (attribution and verification)Implementation and application of various machine learning methods/concepts, such as:One/Binary-Class Classification: LLM-based (e.g., zero/few shot learning, fine-tuning of foundation models), deep learning approaches (CNNs, transformers, Siamese NNs), classical approaches (SVM, random forest, isolation forest, kNN, etc.)Ensemble methods (stacking, voting, weighting, calibration)Evaluation of ML models based on standardized metrics (ROC, AUC, confusion matrices, etc.)Development of UIs and web apps (fastHTML, Streamlit, Gradio, Angular, Svelte)Collaboration in publicly funded and/or directly industry-partner commissioned projects

What you contribute

Profound knowledge in Machine/Deep LearningFamiliar with various architectures of Neural Networks (including Transformer, MLP, 1D-CNNs)Familiar with basic terms and concepts such as: classification, hyperparameter optimization, fine-tuning, model evaluationProfound knowledge of Python is mandatory and will be tested in the interviewAdvantageous: ability to independently implement methods and procedures from scientific publicationsAdvantageous: knowledge and experience in the field of cybersecurityWillingness to face new challengesStrong analytical thinking

What we offer

Flexible working hours that can be easily combined with your studiesAn inspiring work environment with state-of-the-art infrastructureThe opportunity to gain practical experience and make valuable contacts in researchPossibility for later bachelor's and master's thesisThe monthly working hours are 40 to 80 hours, depending on agreement

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Fraunhofer Institute for Secure Information Technology SIT

Requisition Number:81228Application Deadline:

Job Segment:R&D Engineer, Cyber Security, R&D, Intern, Engineering, Security, Research, Entry Level

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