Ph310 Ph.D. positions in Systems Science at the IMT School for Advanced Studies Lucca /h3 pThe IMT School for Advanced Studies Lucca is now recruiting 10 fully funded doctoral candidates for its bSystems Science (SyS) /b Ph.D. Program. /p pStudents enrolled in the Ph.D. Program will learn the necessary methodologies to analyze technological, natural, economic, and social systems using descriptive and predictive mathematical models. The acquired skills can be spent in academia and research centers, and can be applied in many industrial sectors, such as the automotive, aerospace, chemical, infrastructure, energy, biomedicine, financial, and manufacturing industries. /p pThe SyS Program includes four specialization tracks: /p ul libComputational Mechanics (CM) /b offers interdisciplinary doctoral training for graduates wishing to specialize in the research of innovative numerical simulation methods, developing digital twins to predict the behavior of materials, components, or processes throughout their operational life. /li libComplex Systems and Networks (CN) /b offers an interdisciplinary program embracing the theoretical and computational tools of complexity science (physics of complex systems, graph theory, statistical mechanics, information theory, inference, data science) as well as their application to real-world biological, social, economic and technological systems. /li libLearning and Control (LC) /b offers interdisciplinary doctoral training focused on becoming an expert in developing new machine learning and numerical optimization algorithms for modeling dynamical systems from data and designing model-based predictive control systems. /li libSoftware Quality (SQ) /b provides doctoral candidates interested in formal methods, machine learning, modeling and simulation, program verification, cybersecurity, and software engineering with methods for the design, analysis, and validation of software quality and security. /li /ul pbCommitment /b: Full time /p pbQualifications /b /p ul liMaster’s Degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Physics, or in a related field /li liHigh level of proficiency in English /li liDemonstrated solid mathematical and programming skills /li liEnthusiasm for research, critical thinking /li /ul pbWhat We Offer /b /p ul liAn exciting multidisciplinary and international research environment with wide opportunities to interact with scholars from related disciplines in several other international Universities, as well as with cultural heritage Institutions and leaders /li liWork under the supervision of at least one Advisor from the Faculty /li liInteractions with several other doctoral candidates, postdoc researchers, and Faculty members; /li liA tailor‑made scientific training program composed from a wide range of courses and seminars by leading researchers /li liMentoring, training, and career development support /li liA highly competitive full‑time PhD Position with ul liScholarship for a maximum period of 3 consecutive years /li liSocial security coverage /li liFree accommodation on campus (all year round) /li liFree meals on campus (lunch and dinner, all year round) /li liAdditional research funds /li liAdditional international mobility funds /li liInsurance coverages (liability, accident) /li liNo tuition fees /li /ul /li /ul pbEFC Project /bbr/ Scuola IMT Alti Studi Lucca is a member of the EFC - Educating Future Citizens network, which includes eight Scuole Universitarie Superiori in Italy. IMT PhD students have the opportunity to participate in joint activities and are encouraged to engage with partner institutions to foster academic and research collaborations. /p pStudents graduating by 31st October 2026 are also welcome to apply. /p pDeadline: bMay 25, 2026 at 1:00 pm (CEST time) /b /p pbApplication Schedule /b /p ul liInterview of short‑listed candidates: June 26-29, 2026 /li liNotification of admission: End of June 2026 /li /ul pThe IMT School for Advanced Studies Lucca is a public university school for higher education and research. /p /p #J-18808-Ljbffr