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本帖最后由 azurys 于 2022-5-13 00:03 编辑
Two CS PhD openings for motivated and creative students to conduct basic research motivated by important applications, e.g., at the intersection of machine learning, sequential/graph data, interdisciplinary and societal impact. The positions are at the CS department of Michigan Tech and are fully funded with a monthly stipend of $2,200. Masters, interns and visiting scholars are equally well welcome. For detailed information about the advisor Dr. Wenbin Zhang please check the following link: https://vanbantruong.github.io
Desired qualifications: i) A BS or preferably an MS in CS or related majors; ii) Solid mathematical and programming background; iii) Strong motivation in cutting-edge research for top-tier publications.
If you still feel like taking a shared ride after reading this far and are genuinely interested in mutually committing our future, please send your CV and a copy of graduate/undergraduate transcript along with an anticipated starting date to wenbinzhang@cmu.edu.
Once on board, you will be supported to build a strong research capability and publication record for your future career as well as exploring intern and overseas visiting opportunities. You are also encouraged to identify your own research interests while enjoying the gorgeous Lake Superior for all types of outdoor activities that you can imagine. Your success and joy of life are our commitments.
学校概述
密歇根理工大学 Michigan Technological University一级国家级大学，是采矿业在美国兴起的结果，以采矿学和冶金工程学为开端，发展成为拥有科学、工程学、林学、商学、电信学和技术学的综合性大学。在全美公立大学排名位居前50，工程类专业排名前10，是全美第8安全校园。以培养工程师、科学家、制造业专家、森林学家、通讯人才、高级商业人员而著名。
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