Postdoctoral Researcher Full-time

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78g2s7

Building the Next Generation of Insect Population Models Qualsiasi informazione aggiuntiva su questo lavoro è disponibile nel testo sottostante. Si assicuri di leggere attentamente, quindi invii la sua candidatura. International Postdoctoral Opportunity Agrofood Research Hub (ARH) • University of Brescia • Italy Understanding insect life. Predicting ecological change. Supporting sustainable agriculture. Host Institution and Research Environment The Agrofood Research Hub (ARH) at the University of Brescia is an interdisciplinary research centre integrating ecology, entomology, mathematical modelling, artificial intelligence and data science to develop predictive tools for sustainable agriculture, plant health and invasive species management. Led by Prof. Gianni Gilioli, ARH builds on more than 30 years of internationally recognised expertise in quantitative entomology and ecological modelling. Prof. Gilioli contributed to scientific methodologies for pest risk assessment, invasive alien species and plant health.



ARH is currently involved in two Horizon Europe projects on Invasive Alien Species and collaborates with leading universities, research institutes and public authorities across Europe. Internationally recognised expertise in quantitative entomology, extensive European research network. 30+ years of scientific leadership in ecological modelling and 10+ years of collaboration with EFSA. Participation in Horizon Europe projects. Interdisciplinary team spanning biology, ecology, AI and mathematical modelling. Conference funding, international mobility and career mentoring. Position You will lead methodological developments for predictive ecology, designing robust approaches for parameter inference, calibration and uncertainty quantification. Main responsibilities Develop mechanistic and computational models. Estimate biological parameters and functional relationships. Develop inference and uncertainty quantification methods. Implement reproducible computational w

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78g2s7