亚利桑那州立大学 全奖博士(Industrial Engineering/Statistical Machine Learning)

简介

• 亚利桑那州立大学（ASU）计算与增强智能学院（SCAI）工业工程项目（IE）正在招募全奖博士生。
• 优秀的申请者还有机会获得Fulton Fellowship奖学金资助。

• 欢迎拥有统计学、数学、计算机科学、工业工程及相关学科背景的同学申请。
• 我们的研究方向涵盖机器学习、数据挖掘、应用统计学及医疗数据分析等领域，提供富有前景的科研机会。
• 入学时间为2025年秋季。欢迎对此感兴趣的同学联系 Dr. Bing Si (bingsi@asu.edu).

About ASU

• ASU坐落在亚利桑那凤凰城(Phoenix),是美国最大的公立大学之一。凤凰城是美国前6大的超级都会区，拥有NBA菲尼克斯太阳队，物价适中，生活水平高。
• 近年来，半导体产业和电子工程在亚利桑那迅猛发展。大批半导体厂商，数据中心进驻Arizona，包括Intel，三星，台积电，NXP，On Semiconductor，Microchip，Analog Devices，Apple/Google data center等。也为未来想去工业界发展的同学提供了天然的便利与优势。
• 根据US News，ASU排“最具创新学校”第1位，Industrial Engineering专业排全美18，工程学院全美40。
• According to 2025 QS World University Rankings, ASU is ranked 38th in the United States, and is also ranked 200th globally.

Position description

• Multiple Ph.D. positions starting in Fall 2025 in Industrial Engineering (IE) at the School of Computing and Augmented Intelligence (SCAI) from Arizona State University (ASU).
• The successful candidates will receive full financial support to pursue research in the areas of Machine Learning and Statistical Modeling.
• The position comes with a full-doctoral level stipend and a tuition scholarship. Qualified students may also be considered for a Fellowship.
• Students from all science or engineering majors, especially Statistics, Math, EE, CS, and IE are encouraged to apply.

Research interests

• Machine learning & Statistical Learning with applications in complex healthcare and engineering systems:
• Statistical machine learning (sparse learning, transfer learning, unsupervised learning)
• Data fusion (high-dimensional, multi-modal, multi-level, heterogeneous data)
• Precision medicine (facilitate disease diagnosis, prognosis, monitoring)
• Population health (mitigate health disparities, improve care delivery, promote public health)

To apply

• If interested, please email a curriculum vitae (CV) and transcripts to bingsi@asu.edu