Researchers in Machine Learning and Artificial Intelligence (ML/AI) Researchers in Machine Learning and Artificial Intelligence (ML/AI) National University Of Singapore, Central RegionThe National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in SingaporeCompany description:The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in SingaporeJob description:The Role The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.Duties and Responsibilities The successful candidate will be expected to assume the following responsibilities:Design research projects in close collaboration with the Institute's Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research AffiliatesTake ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targetsParticipate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirementsDevelopment of data analysis frameworks.Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute's Directors and other Research Fellows.Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each projectManage and coordinate project deliverables, ensuring their qualityManage industry partners' expectation by understanding their needs and providing realistic expectations and scope of each projectManage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsorsPreparation of results for industry communications, presentations, and academic articles for journal publicationsGuide, mentor, and supervise research associates on the project teamWork closely with the rest of the SGFIN team to support SGFIN's activities and objectivesRequirements Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor's degree is required, a master's degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.Database management experience is desired.Proactive in problem solving.Good time management and planning skills with a commitment to delivery.Strong project management skills, with ability to manage several projects concurrently.Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.Adaptive to change with a positive work attitude.Enthusiastic team player who is self-driven, committed, and willing to take initiative.Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.Strong verbal and interpersonal communication skills, along with written communication skillsA leading global university centred in Asia, the National University of Singapore (NUS) offers a global approach to education and research, with a focus on Asian perspectives and expertise. It is driven by its mission to transform the way people think and do things through education, research and service. The NUS community is distinctively global with talented students and faculty from more than 100 countries. We invite dynamic and motivated individuals to be part of this vibrant hub which is dedicated to delivering quality education and undertaking research for the betterment of society.A leading global university centred in Asia, the National University of Singapore (NUS) offers a global approach to education and research, with a focus on Asian perspectives and expertise. It is driven by its mission to transform the way people think and do things through education, research and service. The NUS community is distinctively global with talented students and faculty from more than 100 countries. We invite dynamic and motivated individuals to be part of this vibrant hub which is dedicated to delivering quality education and undertaking research for the betterment of society.Don't provide your bank or credit card details when applying for jobs.#J-18808-Ljbffr
