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Fraunhofer-Gesellschaft
Student Assistant AI Machine LearningFraunhofer-Gesellschaft • Berlin
Student Assistant AI Machine Learning

Student Assistant AI Machine Learning

Fraunhofer-Gesellschaft • Berlin
Vor 4 Tagen
Stellenbeschreibung

Future. Discover. Together.

Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TestBlu, we are looking for a Student Assistant in AI Machine Learning to support the development, validation, and optimization of AI models for cfDNA-based early cancer detection within the CaniSense platform. Become a part of our team and join us on our journey of research and innovation!

Be part of change

  • Preprocess, clean, and structure sequencing datasets for AI training and validation
  • Conduct exploratory data analysis and feature engineering
  • Develop, train, and optimize machine learning models for cancer detection and classification
  • Run experiments, perform hyperparameter tuning, and evaluate model performance
  • Document methodologies, results, and validation metrics in a structured and reproducible manner
  • Support integration of validated AI models into the CaniSense platform
  • Contribute to continuous improvement of model robustness, scalability, and accuracy

What you contribute

Required Qualifications

  • Enrolled Masters student in AI, Machine Learning, Bioinformatics, Computational Biology, Computer Science, or related field
  • Strong Python skills (e.g., NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow)
  • Experience with data preprocessing and model evaluation techniques
  • Understanding of statistical modeling and experimental design
  • Structured, analytical mindset with strong documentation skills
  • Experience working with neural networks

Preferred Qualifications

  • Experience developing Explainable AI features
  • Experience working with biological data
  • Knowledge of model validation in healthcare or life sciences
  • Familiarity with version control (Git), Jira and collaborative development

What we offer

  • Attractive salary
  • Modern and well-equipped workplace in a central location
  • Good and cooperative working atmosphere in an international team
  • Flexible working hour

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 hours. This position is also available on a part-time basis. 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 Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 84248 Application Deadline: 05/31/2026

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Student Assistant AI Machine Learning • Berlin

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