Student Assistant AI & Machine Learning
Role details
Job location
Tech stack
Job description
- Engage in the research, and test the latest machine learning algorithms
- Analysing, preprocessing, and visualizing different data types (texts, images,etc.)
- Review latest literature and data
- Take part in the creation and management of datasets
- Orchestration and documentation of experiments
- Contribute to the development of human-centered AI solutions and systems
Requirements
- Enthusiasm for working collaboratively within an interdisciplinary team, pushing the boundaries in remote sensing, CV, ML, and neuroscience
- Enrolled in a master's programme of computer science, mathematics, statistics, computational linguistics, physics, electrical engineering, media computer science or similar with good grades
- Research interest in one or more of the following: Reinforcement Learning for LLM's and AI agents, Multi-modal Learning, Self-supervised Learning, Computer Vision
- Proficiency in programming languages and tools relevant to data science and AI, with strong skills in Python and knowledge of NumPy, OpenCV, Pandas, SQL, Docker, git, etc.
- PyTorch skills: experience in training machine learning models with one or more GPUs; ability to work with pre-existing codebases and get a training run going
- A versatile programming background, including practical AI methodologies and beyond
- High degree of proficiency in spoken and written English
Benefits & conditions
- Attractive salary
- Modern and excellently equipped workspace in central location
- Great and cooperative working atmosphere in an international team
- Opportunities to write a master's thesis
- Flexible working hours
- Opportunities to work from home (up to 35% of working hours)
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.