Student Assistant AI Machine Learning

The Fraunhofer-Gesellschaft (www.fraunhofer.com) 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.

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!

Ihre Aufgaben

• 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

Ihr Profil

• 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,

• 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

Wir bieten Ihnen

• 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.

Kontakt

www.hhi.fraunhofer.de