Project description
Staff addition to innovation team working on localised forecasting models
The AI-METHOD project will focus on hiring an associate in intelligent inductive modelling for a company that develops knowledge-mining software and local forecasting models for the short and medium term. Its offerings include high-resolution forecasting in climate, energy, agriculture, oceanography and health care, and the Big Data it uses in its proprietary software processing is provided by satellites. The company works with earth observation data to develop solutions for industrial and societal issues linked to climate and energy. An innovation associate will further develop current models and help with proposals and prepare their commercialisation projects.
Objective
The envisaged innovation of our company is the development, implementation, and commercialization of a local short- to medium-term atmosphere forecasting Software-as-a-Service platform for climate and energy forecasting applications based on original self-learning modelling technologies from high-resolved space-based earth observation data maintained in a Big Data platform. For validating and realising the full potential of the innovation a number of complex and specialized tasks have to be executed in preparation of full-scale implementation. To complement our resources, knowledge and skills in order to further strengthen the competitive advantage of our geo-forecasting solutions we are hiring an Innovation Associate in Intelligent Inductive Modeling for further development of current concepts and preparation of follow-up EU/ESA/national innovation and commercialization project proposals.
Fields of science
Programme(s)
Funding Scheme
CSA - Coordination and support actionCoordinator
17489 GREIFSWALD
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.