{"id":94125,"topic":"ai","source":"Eni","title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","url_hash":"f88ed5404162e7991f92cc099e39dc715434ca14","author":"","summary":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy Eni","content":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe Master’s in EXA Intelligence: AI and Advanced Modeling in Energy, created through a partnership between Eni Corporate University and Cefriel, the digital innovation center of the Politecnico di Milano, is an advanced training programme where high-level education, technological expertise and industrial application converge to transform data, artificial intelligence (AI), and supercomputing into energy solutions.\nThe programme explores the latest developments in AI and advanced modeling, with the aim of combining mathematical-physical models and high-performance computing to address the most complex industrial challenges. You will undergo a comprehensive journey that combines technical skills with a strong focus on the ethical and responsible use of new technologies, while also developing the managerial and project-based capabilities needed to operate in advanced industrial environments.\nThe Master’s is part of Eni’s technological ecosystem, where expertise and projects integrate with AI systems, advanced modeling and supercomputing. The name “Exa” is inspired by the exascale threshold of supercomputing — the power required to perform one quintillion mathematical operations per second — a threshold achieved through the combination of the HPC6 and HPC7 supercomputers installed at Eni's Green Data Center.\nThe Master’s program lasts 12 months and is aimed at 15 graduates (or students who will graduate by December 2026) in STEM disciplines. It includes immediate employment under an Advanced Training and Research Apprenticeship Contract upon completion of the programme and attainment of the Master’s.\nRead all the details below and apply by December 10, 2026.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.","image_url":"https://s7g10.scene7.com/is/image/eni/hero-master-ai-2026:horizontal-16-9?&wid=1200&hei=630&fit=crop,1&bfc=on","lang":"en","published_at":"2026-10-01T12:08:32+00:00","fetched_at":"2026-10-01T12:15:04+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.","cluster_id":null,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}},"news_item":{"id":94125,"canonical_url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","source_url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","source_name":"Eni","author":null,"published_at":"2026-10-01T12:08:32+00:00","locale":"en","topic":"ai","tags":[],"rss_summary":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy Eni","full_text":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe Master’s in EXA Intelligence: AI and Advanced Modeling in Energy, created through a partnership between Eni Corporate University and Cefriel, the digital innovation center of the Politecnico di Milano, is an advanced training programme where high-level education, technological expertise and industrial application converge to transform data, artificial intelligence (AI), and supercomputing into energy solutions.\nThe programme explores the latest developments in AI and advanced modeling, with the aim of combining mathematical-physical models and high-performance computing to address the most complex industrial challenges. You will undergo a comprehensive journey that combines technical skills with a strong focus on the ethical and responsible use of new technologies, while also developing the managerial and project-based capabilities needed to operate in advanced industrial environments.\nThe Master’s is part of Eni’s technological ecosystem, where expertise and projects integrate with AI systems, advanced modeling and supercomputing. The name “Exa” is inspired by the exascale threshold of supercomputing — the power required to perform one quintillion mathematical operations per second — a threshold achieved through the combination of the HPC6 and HPC7 supercomputers installed at Eni's Green Data Center.\nThe Master’s program lasts 12 months and is aimed at 15 graduates (or students who will graduate by December 2026) in STEM disciplines. It includes immediate employment under an Advanced Training and Research Apprenticeship Contract upon completion of the programme and attainment of the Master’s.\nRead all the details below and apply by December 10, 2026.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.","excerpt":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.","extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 7513 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}}},"display_formats":["compact","card","full","digest_section","json"]},"daily_stack_record":{"title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","summary":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.","source":"Eni","date":"2026-10-01T12:08:32+00:00","content":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe Master’s in EXA Intelligence: AI and Advanced Modeling in Energy, created through a partnership between Eni Corporate University and Cefriel, the digital innovation center of the Politecnico di Milano, is an advanced training programme where high-level education, technological expertise and industrial application converge to transform data, artificial intelligence (AI), and supercomputing into energy solutions.\nThe programme explores the latest developments in AI and advanced modeling, with the aim of combining mathematical-physical models and high-performance computing to address the most complex industrial challenges. You will undergo a comprehensive journey that combines technical skills with a strong focus on the ethical and responsible use of new technologies, while also developing the managerial and project-based capabilities needed to operate in advanced industrial environments.\nThe Master’s is part of Eni’s technological ecosystem, where expertise and projects integrate with AI systems, advanced modeling and supercomputing. The name “Exa” is inspired by the exascale threshold of supercomputing — the power required to perform one quintillion mathematical operations per second — a threshold achieved through the combination of the HPC6 and HPC7 supercomputers installed at Eni's Green Data Center.\nThe Master’s program lasts 12 months and is aimed at 15 graduates (or students who will graduate by December 2026) in STEM disciplines. It includes immediate employment under an Advanced Training and Research Apprenticeship Contract upon completion of the programme and attainment of the Master’s.\nRead all the details below and apply by December 10, 2026.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 7513 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}},"tags":[]},"fallback_formats":["markdown","json","html"],"actions":{"read":"/item/94125","export_markdown":"/api/items/94125/export?format=markdown","export_json":"/api/items/94125/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html"},"formats":{"full":{"id":94125,"title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","source":"Eni","author":null,"published_at":"2026-10-01T12:08:32+00:00","locale":"en","topic":"ai","tags":[],"excerpt":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.","full_text":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe Master’s in EXA Intelligence: AI and Advanced Modeling in Energy, created through a partnership between Eni Corporate University and Cefriel, the digital innovation center of the Politecnico di Milano, is an advanced training programme where high-level education, technological expertise and industrial application converge to transform data, artificial intelligence (AI), and supercomputing into energy solutions.\nThe programme explores the latest developments in AI and advanced modeling, with the aim of combining mathematical-physical models and high-performance computing to address the most complex industrial challenges. You will undergo a comprehensive journey that combines technical skills with a strong focus on the ethical and responsible use of new technologies, while also developing the managerial and project-based capabilities needed to operate in advanced industrial environments.\nThe Master’s is part of Eni’s technological ecosystem, where expertise and projects integrate with AI systems, advanced modeling and supercomputing. The name “Exa” is inspired by the exascale threshold of supercomputing — the power required to perform one quintillion mathematical operations per second — a threshold achieved through the combination of the HPC6 and HPC7 supercomputers installed at Eni's Green Data Center.\nThe Master’s program lasts 12 months and is aimed at 15 graduates (or students who will graduate by December 2026) in STEM disciplines. It includes immediate employment under an Advanced Training and Research Apprenticeship Contract upon completion of the programme and attainment of the Master’s.\nRead all the details below and apply by December 10, 2026.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.","reading_time_min":6,"extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 7513 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}}},"quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}},"actions":{"read":"/item/94125","export_markdown":"/api/items/94125/export?format=markdown","export_json":"/api/items/94125/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html"}},"digest":{"id":94125,"title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","source":"Eni","topic":"ai","published_at":"2026-10-01T12:08:32+00:00","excerpt":"Master EXA Intelligence: AI and Advanced Modeling in Energy The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. 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The path of…","badges":["quality:high"],"links":{"read":"/item/94125","original":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","diagnose":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html"},"quality_warning":null},"export":{"title":"Master’s EXA Intelligence: AI and Advanced Modeling in Energy - Eni","url":"https://www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","summary":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector. The path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.","source":"Eni","date":"2026-10-01T12:08:32+00:00","content":"Master EXA Intelligence: AI and Advanced Modeling in Energy\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe path of excellence that combines computational power, artificial intelligence and industrial innovation at the service of the energy sector.\nThe Master’s in EXA Intelligence: AI and Advanced Modeling in Energy, created through a partnership between Eni Corporate University and Cefriel, the digital innovation center of the Politecnico di Milano, is an advanced training programme where high-level education, technological expertise and industrial application converge to transform data, artificial intelligence (AI), and supercomputing into energy solutions.\nThe programme explores the latest developments in AI and advanced modeling, with the aim of combining mathematical-physical models and high-performance computing to address the most complex industrial challenges. You will undergo a comprehensive journey that combines technical skills with a strong focus on the ethical and responsible use of new technologies, while also developing the managerial and project-based capabilities needed to operate in advanced industrial environments.\nThe Master’s is part of Eni’s technological ecosystem, where expertise and projects integrate with AI systems, advanced modeling and supercomputing. The name “Exa” is inspired by the exascale threshold of supercomputing — the power required to perform one quintillion mathematical operations per second — a threshold achieved through the combination of the HPC6 and HPC7 supercomputers installed at Eni's Green Data Center.\nThe Master’s program lasts 12 months and is aimed at 15 graduates (or students who will graduate by December 2026) in STEM disciplines. It includes immediate employment under an Advanced Training and Research Apprenticeship Contract upon completion of the programme and attainment of the Master’s.\nRead all the details below and apply by December 10, 2026.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.\nThe Master’s class will consist of 15 apprentices selected by Eni.\nCandidates who, by the deadline of the call for applications, meet the following requirements will be invited to participate in the selection:\nHave obtained, or expect to obtain by 31 December 2026, a Master's degree with a final grade of 100/110 or above (or an equivalent international qualification) in:\nPhysics – LM-17;\nInformation Technology – LM-18;\nChemical Engineering – LM-22;\nAutomation Engineering – LM-25;\nElectronic Engineering – LM-29\nEnergy and Nuclear Engineering – LM-30;\nManagement Engineering – LM-31;\nComputer Engineering – LM-32;\nMechanical Engineering – LM-33;\nEnvironmental and Land Engineering – LM-35;\nMathematics – LM-40;\nStatistics – LM-44;\nMaterials Engineering – LM-53\nArtificial Intelligence and Data Science – LM-91\nOther requirements:\nNot have turned 29 years old by December 31st, 2026 .\nHave an excellent knowledge of English. For international candidates, a good knowledge of Italian will be considered preferential.\nTo learn more about the requirements, please consult the call for applications at the end of this page.\nThe training programme adopts a learning-by-doing approach, and lasts 12 months, comprising 12 months divided into 6 months of in-person lectures (including hands-on sessions and labs) held at the “La Goccia” Campus of Politecnico di Milano. The programme may also make use of additional facilities of Politecnico di Milano, Cefriel, or other venues dedicated to the Master's educational and project activities. The remaining 6 months are dedicated to a project work at at Eni and its Companies. The programme is delivered entirely in English by university and company lecturers and is enriched through case studies, seminars led by Eni managers, and sessions with industry experts.\nThe course awards a total of 63 CFU/ECTS credits. The table below shows the programme's teaching schedule and details.\nCourses - 43 credits\nAI-assisted Python Programming\nAI Models\nGenerative e Agentic AI\nAI & HPC Infrastructure\nScientific Machine Learning\nOptimization\nAdvanced AI Applications, Manage-ment & Governance\nManagement Skills\nProject Work -20 credits\nSelected participants will be offered an offer of a Higher Education and Research Apprenticeship Contract, which will remain valid throughout the duration of the Master’s. In addition, all participants will receive a gross monthly stipend of €1,500 for the duration of the training programme (12 months).\nThe enrolment fee at Cefriel-PoliMi is paid directly by Eni to the aforementioned institution.\nUpon completing the programme, participants will be awarded a Level 2 Master’s Degree in EXA Intelligence: AI and Advanced Modeling in Energy from Politecnico di Milano.","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.eni.com/en-IT/careers/training/master/artificial-intelligence.html","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 7513 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 7513 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":7513,"summary_length":349,"usable_text_length":7513,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":7513,"summary_length":349}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}