Working Student in the Field of Computer Vision

• Image classification based on common architectures (e.g., Transformers: ViT, Swin, DeiT; CNNs: ResNet, EfficientNet; GNNs: GraphConv, GAT)
• Image captioning, visual question answering, and multimodal search using vision-language models (VLMs)
• Image segmentation (e.g., using SAM-3, DINO-3, among others)
• Interactive and explainable classification systems (RISE, GradCAM, EigenCAM, Integrated Gradients, ViT Shapley, etc.)

• Implementation and execution of experiments in the field of machine learning (ML):

• Cleaning, preparing, splitting, visualizing data, if necessary crawling and scraping data
• Applying (implementation of common ML methods such as hyperparameter optimization, binary/multi-class/multi-label classification, ensemble methods, ...)
• Evaluation/benchmarking based on standardized metrics in the context of ML (e.g., accuracy, BAC, Brier, mAP, ROC, AUC, and many more) as well as functional tests

• Development of UIs and web apps using common frameworks (fastHTML, Streamlit, Gradio, Svelte, Flask/FastAPI)
• Collaboration in publicly funded and/or industry partner commissioned projects

What you contribute

• Study of computer science, mathematics, or a related field with a focus on machine learning and ideally computer vision
• Solid knowledge in ML:

• Familiar with various architectures of neural networks (especially vision transformers and CNNs)
• Familiar with basic terms and concepts in ML (especially classification, hyperparameter optimization, fine-tuning, evaluation of models)

• Solid 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

• Flexible working hours that can be well coordinated with your studies
• An inspiring work environment with state-of-the-art infrastructure
• The opportunity to gain practical experience and establish valuable contacts in research
• Possibility for later bachelor's and master's thesis
• The monthly working hours range from 40 to 80 hours, depending on the 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.

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