Welcome to the PhD in Decision Sciences and Artificial Intelligence
The PhD in Decision Sciences and Artificial Intelligence (PhD-DSAI) at ISEL–IPL is a cutting-edge program designed to prepare researchers and professionals for solving complex problems in academia, industry, and society through advanced optimization methods, artificial intelligence, statistical analysis, and data-driven decision-making strategies. Let curiosity motivate you.
Our PhD program offers a unique connection with leading industrial and institutional partners, driving innovative research.
An interdisciplinary program with strong theoretical foundations and practical applications in optimization, statistical analysis, and artificial intelligence.
Benefit from extensive international networks such as U!REKA, COST Actions, and Erasmus+, enhancing your global academic experience.
Collaboration with Industry and Institutional Partners
Our PhD program builds strong collaborations with industry and institutional partners, integrating advanced methods in optimization, artificial intelligence, and statistical forecasting. These partnerships drive innovation and tackle real-world challenges through data-driven decision-making.
💡 Key Benefits:
✔ Predictive Analytics & Optimization – We develop advanced forecasting models to optimize processes and improve decision-making in industry.
✔ Industry-Funded Research – Including FCT PhD grants for companies
✔ Hands-on Applications – Our research projects have practical applications in areas such as supply chain forecasting, production process optimization, and the development of AI-driven strategies.
✔ Global Networking – We establish partnerships with companies and institutions worldwide, creating opportunities for collaboration and knowledge exchange.
📢 Through FCT-funded PhD grants, companies gain access to cutting-edge research while fostering innovation in decision sciences.
Optimization, Statistics, and Artificial Intelligence
Our interdisciplinary PhD program offers advanced training focused on three complementary fields:
Optimization Methods
✅ Develop efficient algorithms to optimize resources and solve complex logistical problems.
Statistical Analysis and Data Science
📊 Build robust models to manage uncertainty, analyze risks, and make data-driven decisions.
Artificial Intelligence and Machine Learning
🤖 Apply advanced machine learning techniques for pattern recognition and autonomous decision-making.
🌍 International Collaboration
- ✅ Participation in COST Actions, fostering European and global research networks.
- 🏙️ Collaboration within the U!REKA network, promoting interdisciplinary urban research.
- 🎓 Mobility through Erasmus+, enabling research internships and international experiences.
- 💡 Access to funding opportunities such as FCT scholarships and Horizon Europe projects.
