About this role
Summary: Working student role focused on implementing NLP and machine learning approaches, including feature extraction, style change detection, and AI-generated text attribution. The position involves developing ML models, evaluating performance, and building web applications within a cybersecurity research context.
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 algorithms
- Detection of AI-generated text content and attribution of which LLM generated which text
- Optimization 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
- Outstanding academic record with a maximum average grade of 2.2.
- Profound knowledge in Machine/Deep Learning
- Profound knowledge of Python is mandatory and will be tested in the interview
- Familiar 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 evaluation
- Advantageous: ability to independently implement methods and procedures from scientific publications
- Advantageous: knowledge and experience in the field of cybersecurity
- Willingness to face new challenges
- Strong analytical thinking
What we offer
- Attractive hourly rate: €18.06/hour for Bachelor’s students and €18.78/hour for Master’s students
- Flexible working hours that can be easily combined with your studies
- An inspiring work environment with state-of-the-art infrastructure
- The opportunity to gain practical experience and make valuable contacts in research
- Possibility for later bachelor's and master's thesis
- The 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.
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
<a href="http://www.sit.fraunhofer.de<input id="tor\_\_fcustInstituteLinkRMK" type='hidden' value='27335' >" target="\_blank" rel="noopener">www.sit.fraunhofer.de
Requisition Number: 81228 Application Deadline:
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