{"id":2122052,"url":"https://alion.io/job/fujitsu-senior-researcher-phd-ai-lab","title":"Senior Researcher (PhD_AI Lab)","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0.143,"time_to_fill_p50_days":10,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Explainable AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Computer Vision","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-08T23:55:13Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-11-04T22:15:38Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Job Description\nFujitsu Research Lab (https://www.fujitsu.com/global/about/research/)\nAbout us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in AI (artificial intelligence) and Machine Learning (ML). Our technologies are integrated into Fujitsu’s products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal & multimodal data.\nRole Purpose:\nAs an AI Researcher, you will lead and perform groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations, differentiating AI technologies in the market. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure IP for the developed technologies.\nRoles and Responsibilities- Followings are Researcher’s duties:\nTechnical Skills required-\n Advanced AI Expertise:Deep understanding of fundamentals of AI models at theoretical and implementation level, theoretical machine learning, statistical theory of learning, AI Agents and multi-agentic systems and related technologies\nUp to date with the latest in AI algorithms & neural architectures (e.g., attention, transformers, state-space models, etc.) and their application to generative AI (LLMs), explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, graph AI, etc..\nGood understanding of various aspects of AI model training and optimization and is capable of rapid implementation and testing of ideas. Researcher with strong understanding of the agentic/multi-agentic systems and associated harness technologies would be preferred.\n\nPrior experience in applying AI models or Agentic systems to real-world use-cases is desirable.\nProficient in AI/ML Programming: Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools.\nStrong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected.\nDesirable: Well-informed with latest conceptual advancements in the deployable generative AI framework such as AI agents, autonomous systems etc. An ideal researcher is one capable of performing multi-disciplinary research, rapidly learn concepts in new domain, and apply to the problem in hand.\nCore Research Leadership\nIdentify and Frame Research Problems: Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art.\nDevelop Advanced Technologies: Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research.\nConduct Rigorous Data Analysis: Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications.\nCollaboration & Knowledge Sharing\nShare key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors.\nResearch Publication & IP: Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals.\nAcademic Partnerships: Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research.\nIndustry Impact and Application\nEngage with Applied Research Teams: Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges.\nSupport Technology Transition: Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact.\nAdditional Expectations\nScientific Leadership: Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs.\nCommunication: Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights.\nAdaptability and Growth Mindset: Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets.\n Education & Research Experience: Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3+ years (post PhD). Person with richer experience and deeper expertise will be considered for appropriate positions.\nJob Description\nFujitsu Research Lab (https://www.fujitsu.com/global/about/research/)\nAbout us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in AI (artificial intelligence) and Machine Learning (ML). Our technologies are integrated into Fujitsu’s products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal & multimodal data.\nRole Purpose:\nAs an AI Researcher, you will lead and perform groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations, differentiating AI technologies in the market. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure IP for the developed technologies.\nRoles and Responsibilities- Followings are Researcher’s duties:\nTechnical Skills required-\n Advanced AI Expertise:Deep understanding of fundamentals of AI models at theoretical and implementation level, theoretical machine learning, statistical theory of learning, AI Agents and multi-agentic systems and related technologies\nUp to date with the latest in AI algorithms & neural architectures (e.g., attention, transformers, state-space models, etc.) and their application to generative AI (LLMs), explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, graph AI, etc..\nGood understanding of various aspects of AI model training and optimization and is capable of rapid implementation and testing of ideas. Researcher with strong understanding of the agentic/multi-agentic systems and associated harness technologies would be preferred.\n\nPrior experience in applying AI models or Agentic systems to real-world use-cases is desirable.\nProficient in AI/ML Programming: Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools.\nStrong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected.\nDesirable: Well-informed with latest conceptual advancements in the deployable generative AI framework such as AI agents, autonomous systems etc. An ideal researcher is one capable of performing multi-disciplinary research, rapidly learn concepts in new domain, and apply to the problem in hand.\nCore Research Leadership\nIdentify and Frame Research Problems: Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art.\nDevelop Advanced Technologies: Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research.\nConduct Rigorous Data Analysis: Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications.\nCollaboration & Knowledge Sharing\nShare key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors.\nResearch Publication & IP: Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals.\nAcademic Partnerships: Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research.\nIndustry Impact and Application\nEngage with Applied Research Teams: Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges.\nSupport Technology Transition: Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact.\nAdditional Expectations\nScientific Leadership: Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs.\nCommunication: Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights.\nAdaptability and Growth Mindset: Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets.\n Education & Research Experience: Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3+ years (post PhD). 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