Wissenschaftliche/r Mitarbeiter/in (m/w/d)
Core
Developing machine learning methods for time series analysis and data fusion to model, analyze, and predict the state of biological systems using multimodal sensor data.
Role type
Research Associate (Scientific Employee)
Builds
Machine learning models and experimental setups for biological system monitoring
Domain
Biomedical Engineering / Machine Learning / Sensor Systems
Deliverable
production ML models
Required skills
Machine Learning, Time Series Analysis, Data Fusion, Statistical Analysis, Python, MATLAB, Git, Sensor Data Analysis
Preferred skills
Knowledge of dynamic system modeling, Sensorics and measurement technology, Biological/agricultural systems, Scientific publishing
Technologies
Python, MATLAB, Git, Metal Oxide Sensors
Responsibilities
Develop ML methods for time series analysis and data fusion; Design olfactory measurement systems; Analyze gas sensor data; Classify and predict system states; Design experiments for ML training; Supervise students; Publish research findings
