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Postdoctoral Researcher
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comment: Grade 7: £36,024 - £44,263 per annum Fixed-term contract for 12 months, full time The Data-Driven Decisions Lab (3DL) at Saïd Business School is at the forefront of advancing methodologies and quantitative frameworks that bridge theoretical predictions with practical applications. Under the leadership of Agni Orfanoudaki, we are seeking a talented and motivated Postdoctoral Researcher to join our dynamic team and work in one or more of the following research areas: interpretable machine learning, healthcare analytics, algorithmic insurance and dynamic decision making. Key responsibilities: * Manage academic research and administrative activities, coordinating multiple aspects of work to meet deadlines. * Prepare analytical frameworks, propose novel generalisable algorithms, and conduct computational experiments using data from various sources. * Contribute ideas for new research projects and collaborate in the preparation of research publications. * Present papers at conferences or public meetings. * Represent the research group at external meetings/seminars and carry out collaborative projects with colleagues in partner institutions and research groups. You will hold a PhD/DPhil in Operations Research, Management Science, Operations Management or Industrial Engineering and demonstrate sufficient specialist knowledge to work within established research programmes. You must be able to independently manage academic research and associated activities. Additionally, you will have prior experience of contributing to publications and presentations, showcasing the capability to generate ideas for new research projects and research income, and exhibiting excellent communication skills, including writing for publication, presenting research proposals and results, and representing the research group at meetings. Further information on this role can be found in the job description. The Saïd Business School offers very generous benefits, some of which are: * Generous holiday al…
based near: Saïd Business School
comment: Grade 7: £36,024 - £44,263 per annum Fixed-term contract for 12 months, full time The Data-Driven Decisions Lab (3DL) at Saïd Business School is at the forefront of advancing methodologies and quantitative frameworks that bridge theoretical predictions with practical applications. Under the leadership of Agni Orfanoudaki, we are seeking a talented and motivated Postdoctoral Researcher to join our dynamic team and work in one or more of the following research areas: interpretable machine learning, healthcare analytics, algorithmic insurance and dynamic decision making. Key responsibilities: Manage academic research and administrative activities, coordinating multiple aspects of work to meet deadlines. Prepare analytical frameworks, propose novel generalisable algorithms, and conduct computational experiments using data from various sources. Contribute ideas for new research projects and collaborate in the preparation of research publications. Present papers at conferences or public meetings. Represent the research group at external meetings/seminars and carry out collaborative projects with colleagues in partner institutions and research groups. You will hold a PhD/DPhil in Operations Research, Management Science, Operations Management or Industrial Engineering and demonstrate sufficient specialist knowledge to work within established research programmes. You must be able to independently manage academic research and associated activities. Additionally, you will have prior experience of contributing to publications and presentations, showcasing the capability to generate ideas for new research projects and research income, and exhibiting excellent communication skills, including writing for publication, presenting research proposals and results, and representing the research group at meetings. Further information on this role can be found in the job description. The Saïd Business School offers very generous benefits, some of which are: Generous holiday allowance of 3…
subject: research
application closing date: 2024-03-06T12:00:00+00:00
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contact: Anna Giorgi
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application opening date: 2024-01-24T09:00:00+00:00
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Job Description
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value: Postdoctoral Researcher Park End Street, Oxford Grade 7: £36,024 - £44,263 per annum Fixed-term contract for 12 months, full time Saïd Business School, University of Oxford The role Responsibilities The Data-Driven Decisions Lab (3DL) at Saïd Business School is seeking to appoint a new postdoctoral researcher. Under the leadership of Agni Orfanoudaki, the lab is dedicated to developing new methodologies and quantitative frameworks that bridge the gap between theoretical predictions and practical prescriptions. The new postholder is going to join the 3DL group and get engaged in one or multiple of the following research areas: • Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. • Adapt existing research methodologies and materials and develop new ones. • Prepare analytical frameworks, propose novel generalizable algorithms, and conduct computational experiments using data from a variety of sources. • Contribute ideas for new research projects. • Collaborate in the preparation of research publications. • Present papers at conferences or public meetings. • Act as a source of information and advice to other members of the group on methodologies or quantitative approaches of research. • Represent the research group at external meetings/seminars, either with other members of the group or alone. • Carry out collaborative projects with colleagues in partner institutions, and research groups. • • Interpretable Machine Learning: Development of transparent machine learning algorithms for enhanced human-algorithm engagement. Healthcare Analytics: Collaboration with medical investigators to create models for better decision-making in healthcare, focusing on quality of care, operational outcomes, and addressing fairness and equity considerations. • Algorithmic Insurance: Innovating insurance products to manage the liability and operational risk of machine learning al…

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