Physicist with Machine Learning Focus Your Mission - Advanced Modeling & Analysis: Leverage physics principles to interpret complex chemical and mechanical data, identifying critical parameters for maximum efficiency. - Machine Learning Integration: Design and deploy predictive models (Python, TensorFlow/PyTorch) that automate system tuning and detect anomalies in real time. - Hands-On R&D: Collaborate on pilot projects to test innovative waste-stream solutions, refining methodologies through rigorous experimentation. - Cross-Functional Collaboration: Work with engineers, data scientists, and stakeholders to translate theoretical models into practical, scalable technologies. - Continuous Improvement: Monitor implemented solutions, analyze performance metrics, and iterate to drive sustainability goals forward. Requirements: - Physics Background: Advanced degree or experience in applied physics, with a solid foundation in experimental design and data interpretation. - ML Expertise: Proficient in model development and deployment, especially for time-series or real-time data. - Problem-Solving Mindset: Comfortable with complex, multidisciplinary challenges, transforming insights into actionable results. - Communication: Skilled at articulating technical concepts to both specialized and broad audiences. - Sustainability Focus: Motivated by environmental impact, committed to eco-friendly innovations. Join our dynamic team and help pioneer AI-driven solutions that reshape industrial processes for a cleaner, brighter future. Because the best way to predict the future is to create it. Contratto di lavoro: Tempo pieno, Tempo determinato Durata contratto: 3 mesi Retribuzione: €1.200,00 - €2.100,00 al mese Benefit: - Alloggio - Bevande gratis - Lavoro da casa - Mensa aziendale - Orario flessibile - Partecipazione agli utili - Partecipazione azionaria Disponibilità: - Dal lunedì al venerdì Requisito linguistico flessibile: - Italiano non richiesto Retribuzione supplementare: - Commissione - Premio di produzione Data di inizio prevista: 01/04/2025