Forskare för utveckling av sjukdomsövervakning på mjölkkor
Core
Developing signal processing methods and mathematical models to interpret data from dairy cow herds for early warning of infectious diseases.
Role type
Researcher (Signal Processing & Mathematical Modeling)
Builds
Decision support systems for identifying disease outbreaks and events affecting animal welfare.
Domain
Veterinary medicine, agricultural data, signal processing
Deliverable
production ML models
Required skills
Signal processing, mathematical modeling, time series analysis, sensor fusion, spectral analysis, data filtering, predictive modeling, integration of multi-system data
Preferred skills
Programming, statistical modeling, machine learning, analysis of large time-series data, grant writing, project management
Technologies
SLU Gigacow infrastructure, multi-technical systems
Responsibilities
Develop and adapt signal processing methods, analyze time series data, integrate data from multiple technical systems, create decision support for disease outbreak identification
Seniority
Researcher (Project-based)