Student Assistant Explainable Artificial Intelligence
Role details
Job location
Tech stack
Job description
- Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms
- Use of XAI tools to explain machine learning models
- Implementation of deep learning
- Improvement of models, e.g. in terms of efficiency, training performance or inference behavior
Requirements
- Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades
- Programming experience, especially good to very good knowledge of Python
- Experience with machine learning, in particular with neural networks and their implementation (PyTorch, TensorFlow or similar)
- Motivation and Initiative
Benefits & conditions
- Residence in Berlin and the surrounding area, as the position is carried out exclusively on-site to enable close collaboration
- Interest in Explainable Artificial Intelligence (XAI); potential topics include, among others (feel free to reference in your cover letter):
- XAI for Computer Vision (in particular object detection and semantic segmentation models)
- Spiking Neural Networks
- Neuromorphic Architectures
- Physics-Informed Neural Networks (PINNs) and Operator Learning
- Data Attribution Methods
- Method development in the areas of: local feature attribution, global and mechanistic interpretability
Please make sure to include a detailed transcript of records as well as a cover letter with your application. Unfortunately, applications without a transcript of records and cover letter cannot be considered.
What you can expect
- Attractive salary
- Modern and well-equipped workplace in a central location
- Good and cooperative working atmosphere in an international team
- Flexible working hours
- Opportunities to write a Master's or Bachelor's thesis, often in close cooperation with industry partners
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.
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.
