Please get in touch with us using the provided contact details.
The doctoral researcher develops a computational setup that connects a hydrological model to the DIWA digital twin platform. The model simulates water balance and water management measures in northern bioproduction areas. The data connection in the computational setup is two-way: (1) the model reads spatio-temporal input data from the DIWA data space and (2) produces outputs to the digital twin platform for visualization. The computational setup is applied to produce forecast simulations for planning short term water management actions.
Links to DIWA research theme 3 (Integrated analysis and modelling). (Tasks 3.1, 3.2 and 3.3)
Agricultural water systems, observations, and management
The applicant is expected to have a master’s degree on hydrology, water engineering, agricultural and forest sciences, or related field. The position requires good teamwork skills and self-management. The applicant should have experience in programming (preferred languages python/C++), model development and application, as well as data management and analysis. Previous experience in version control (Git) is seen as an asset.
Links with Luke, Syke, Finnish Field Drainage Association
Water and Environmental Engineering / Department of Built Environment / School of Engineering / Aalto University
Prof. Harri Koivusalo
Univ. Teacher Heidi Salo
–
Prof. Jari Hyväluoma