亚利桑那州立博士 Fellowship(Industrial Engineering/Statistical Machine Learning)
4250
简介
About ASU
Position description
Research interests
To apply
- 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 ([email protected]).
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 [email protected]
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