阿卜杜拉国王科技大学PhD Scholarship Position in Machine Learning in Financial Mathematics申请条件要求-申请方

PhD Scholarship Position in Machine Learning in Financial Mathematics
PhD直招2027秋季
活动时间:2027.01.03 15:59截止
主办方
阿卜杜拉国王科技大学
PhD直招介绍
About the Project We invite applications for a fully funded PhD position in a new interdisciplinary research group led by Florian Kogelbauer at KAUST. The group combines nonlinear dynamical systems, applied mathematics, scientific computing and machine learning to uncover hidden structures in complex systems and build more accurate, interpretable and efficient models. Can machine learning detect changing financial market regimes and improve quantitative decision-making? This project develops data-driven methods at the intersection of artificial intelligence, stochastic modelling and mathematical finance. Research topics include market regime detection, portfolio optimization, macroeconomic forecasting, quantitative risk management and climate-related financial risks.
阿卜杜拉国王科技大学 PhD Scholarship Position in Machine Learning in Financial Mathematics项目有没有奖学金,是不是全奖Phd招生,下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
What we offer Fully funded PhD position with competitive compensation Access to state-of-the-art high-performance computing and GPU infrastructure A research-intensive environment with minimal teaching responsibilities Opportunities for international collaborations, conferences and research visits A modern, international campus on the Red Sea
阿卜杜拉国王科技大学Phd申请条件和要求都有哪些?PhD Scholarship Position in Machine Learning in Financial Mathematics项目是不是全奖?有没有奖学金?下面我们一起看一下阿卜杜拉国王科技大学申请Phd直招需要具备哪些条件和要求,以及托福、雅思语言成绩要到多少才能申请。
申请要求
Who should apply We welcome highly motivated candidates with strong quantitative backgrounds in mathematics, physics, computer science, engineering, statistics, quantitative finance or related disciplines. Candidates should show mathematical curiosity, analytical ability and an interest in combining theoretical research with computational methods. Strong programming skills are particularly valuable. Prior expertise in every topic is not required.
报名方式
招生人信息
Dr F Kopablauer
邮箱:kopablauer@icloud.com