Studentische Aushilfe (w/m/d) - Machine Learning - System Engineering / Admin, Ingenieur
Core
Analyzing complex technical time-series data and developing, evaluating, and integrating machine learning pipelines for spaceflight applications.
Role type
Student machine learning engineer (time-series analysis)
Builds
ML pipelines for existing simulation environments and hardware-near systems
Domain
Aerospace / Machine Learning
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Statistics, Time-series analysis, Git, CI/CD
Preferred skills
Federated Learning, Explainable AI, Anomaly Detection, Self-Supervised Learning, Scientific writing
Technologies
Python, Git, CI/CD
Responsibilities
Evaluate and validate ML/Deep Learning methods using datasets and benchmarks; Conceive, implement, and extend ML pipelines for time-series data; Integrate and deploy solutions into simulations or hardware-near systems; Conduct scientific analysis of advanced ML concepts; Independently research new scientific questions; Prepare, document, and present results; Contribute to scientific publications
