2 beste Stellen als python in darmstadt, he – aktuell auf Personalsuche

Working Student in the Field of NLP
Secure Information Technology —Darmstadt
- Forschungserfahrung
- Master
- Machine Learning
- Flexible Arbeitszeiten
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cbs Corporate Business Solutions GmbH —Raunheim
- Vollzeit
- Hybrides Arbeiten
- Englisch
- Forschungserfahrung
- Master
- Weiterbildungsprogramme
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1 Tag

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Working Student in the Field of NLP

Secure Information Technology
Darmstadt

Jetzt bewerben

Details zur Stelle

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Forschungserfahrung
Master
Machine Learning
Deep learning
Computerlinguistik
Angular
Cyber Security
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 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 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

Profound knowledge in Machine/Deep Learning
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
Profound knowledge of Python is mandatory and will be tested in the interview
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

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. 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: 81228 Application Deadline:

Jetzt bewerben

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Working Student in the Field of NLP

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