**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 Agevolazioni: - 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