KU is seeking a highly motivated Post-doctoral Fellow to work on optimal stopping problems arising in mathematical finance. The examples of such problems include real options problems (e.g., option to switch to idle state, option to wait to invest in risky projects, options to select the best of several technologies); optimal capital structure problems (i.e., optimal default problem for equity holders, valuation of equity and debt contracts, maximization of total firm value); valuation of recently proposed mortgage contracts taking into the account prepayment and default options.The candidate will develop and implement efficient numerical schemes to tackle these problems. These schemes will be based on the combination of the following methods: Monte-Carlo simulations, free boundary and fixed boundary PDEs, integral equations, neural networks. The candidate will also work on theoretical analysis of the problems.Position Requirements
Strong background in Mathematics, stochastic processes, machine learning and numerical methods
Adhere to the University\'s information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
Perform any other tasks assigned by the Line Manager
QUALIFICATIONSEssential Criteria
PhD from a reputable university in Mathematics or related discipline.
Experience writing scientific or review papers;
A willingness to contribute to a collaborative and supportive team culture
Excellent English language communication skills (verbal and written)
Ability to work both independently and as part of a team
The proven ability to work on multiple tasks with competing demands and deadlines.
Ability to train and mentor students and support fellow researchers
Highly developed reasoning and problem-solving skills
Desired Criteria
PhD gained from a top 200 QS or THE ranked University
At least 1 year of relevant experience as a Post-doctoral researcher in academia or in industry.
High impact first-author publications in top 10% journals in the relevant field
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Times Higher Education
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