匹兹堡大学招2022年春/秋季信息科学（人因工程/人机交互/智能系统）全奖博士生
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Dr. Na Du in the Department of Informatics and Networked Systems, School of Computing and Information, at the University of Pittsburgh is looking for highly motivated individuals to pursue doctoral degrees in Information Science with a specialization in Human Factors/Human-computer Interaction/Intelligent Systems. The fully funded assistantships cover tuition, health insurance, and a competitive stipend. Anticipated start dates include Spring 2022, Fall 2022.
Requirements:
; A bachelor’s or master’s degree in Engineering, Computer Science, Information Science, Psychology, Design, Math, or related areas.
; A minimum TOEFL score of 80 and a minimum GPA of 3.3 (on a 4-point scale) are required.
Preferred qualifications:
Candidates with ANY of the following qualifications would be particularly encouraged to apply.
; Research experience in human factors, human-computer interaction, or intelligent systems.
; Knowledge or interest in using applied data science and machine learning for human behavior modeling
; Skills in programming (e.g., Python, Java, C#, MATLAB, or R) or experience in developing AR/VR/simulator applications
If you are interested, feel free to contact Prof. Na Du via email (1point3acres.com) with the title “Prospective PhD Student” and include the following information: (1) your CV; (2) a copy of your transcripts; (3) a brief description of your background and research interests; and (4) representative publications or writing samples if available. Application information can be found here: dins.pitt.edu Prof. Na Du will reach out if there is a potential fit.
Na Du is an Assistant Professor in the Department of Informatics and Networked Systems, School of Computing and Information, at the University of Pittsburgh (starting Fall 2021). She received her Ph.D. in Industrial & Operations Engineering from the University of Michigan. Her research aims to improve human performance, safety, and well-being by applying human factors and data analytics to the analysis, design, and evaluation of technologies. Her research interests include human factors in smart cities, computational modeling of human behaviors, and human-centered design. Please see more information here: nadu-pitt.github.io
University of Pittsburgh is one of the oldest institutions of higher education in the nation and is ranked 43rd in the 2021 U.S. News Best Global Universities Rankings. School of Computing and Information employs world-class faculty, offers access to first-rate educational and research facilities and partnerships with industry. Pittsburgh has been listed as the most livable city in the United States. It is a hub for the health care (e.g., University of Pittsburgh Medical Center), education (e.g., University of Pittsburgh and Carnegie Mellon University), and technology industries (e.g., Google, Apple Inc., Bosch, Facebook, Uber, Amazon, and Microsoft).
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美国匹兹堡大学 (University of Pittsburgh) 计算机信息学院 (Department of Informatics and Networked Systems, School of Computing and Information) Dr. Na Du 招收2022年春/秋季信息科学方向（人因工程，人机交互，或智能系统）全奖博士研究生1-2名，欢迎有工程、计算机、信息科学、设计或者心理学等相关专业的同学申请。
申请要求：
; 工程、计算机、信息科学、心理学、设计、或统计学等相关领域本科或者研究生学位。
; 托福成绩不低于80，绩点不低于3.3（4分制）
非常鼓励满足以下任一条件的同学申请：
; 具有人因工程，人机交互，或者智能系统方向研究经验
; 具备或者有兴趣将数据科学和机器学习的知识应用到人认知/行为建模
; 具有编程能力（e.g., Python, Java, C#, MATLAB, or R）或有搭建增强现实/虚拟现实/模拟器的经验
欢迎有兴趣申请的同学通过邮件联系Dr. Du (1point3acres.com)，请使用邮件名称“Prospective PhD Student”并附上以下信息：（1）简历；（2）成绩单复印件；（3）研究背景和兴趣简介；（4）如果有代表性文章或者写作样本也可附上。具体申请信息可参考：dins.pitt.edu
Dr. Na Du是匹兹堡大学计算机信息学院信息与网络系统系的助理教授（Assistant Professor, 2021年秋季入职）。她的研究兴趣包括人因工程，人机交互，人行为认知建模，用户设计/研究等。目前主要关注智能城市/交通等应用领域。她博士毕业于密西根大学工业工程系。欢迎访问 Dr. Du 的个人主页获取更多信息: nadu-pitt.github.io
匹兹堡大学(University of Pittsburgh)，又称“匹大” (PITT)，成立于1787年，是历史悠久的世界顶尖公立研究型大学，美国著名高等学府，也是美国最早的十所大学之一，被美国社会誉为“公立常春藤”大学。学校位列2021 U.S. News世界大学排名第43名。匹兹堡是全美治安最好的城市之一，同时也多次被评为全美最适宜居住城市，兼具悠久的历史记忆与现代化的都市景象。匹兹堡曾是美国著名的钢铁工业城市，有“世界钢都”之称，现已转型为以医疗（匹兹堡大学医学中心）、教育（匹兹堡大学和卡耐基梅隆大学）及高科技工业（谷歌、苹果、脸书、亚麻、优步、微软）为主之都市。
Requirements:
; A bachelor’s or master’s degree in Engineering, Computer Science, Information Science, Psychology, Design, Math, or related areas.
; A minimum TOEFL score of 80 and a minimum GPA of 3.3 (on a 4-point scale) are required.
Preferred qualifications:
Candidates with ANY of the following qualifications would be particularly encouraged to apply.
; Research experience in human factors, human-computer interaction, or intelligent systems.
; Knowledge or interest in using applied data science and machine learning for human behavior modeling
; Skills in programming (e.g., Python, Java, C#, MATLAB, or R) or experience in developing AR/VR/simulator applications
If you are interested, feel free to contact Prof. Na Du via email (1point3acres.com) with the title “Prospective PhD Student” and include the following information: (1) your CV; (2) a copy of your transcripts; (3) a brief description of your background and research interests; and (4) representative publications or writing samples if available. Application information can be found here: dins.pitt.edu Prof. Na Du will reach out if there is a potential fit.
Na Du is an Assistant Professor in the Department of Informatics and Networked Systems, School of Computing and Information, at the University of Pittsburgh (starting Fall 2021). She received her Ph.D. in Industrial & Operations Engineering from the University of Michigan. Her research aims to improve human performance, safety, and well-being by applying human factors and data analytics to the analysis, design, and evaluation of technologies. Her research interests include human factors in smart cities, computational modeling of human behaviors, and human-centered design. Please see more information here: nadu-pitt.github.io
University of Pittsburgh is one of the oldest institutions of higher education in the nation and is ranked 43rd in the 2021 U.S. News Best Global Universities Rankings. School of Computing and Information employs world-class faculty, offers access to first-rate educational and research facilities and partnerships with industry. Pittsburgh has been listed as the most livable city in the United States. It is a hub for the health care (e.g., University of Pittsburgh Medical Center), education (e.g., University of Pittsburgh and Carnegie Mellon University), and technology industries (e.g., Google, Apple Inc., Bosch, Facebook, Uber, Amazon, and Microsoft).
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美国匹兹堡大学 (University of Pittsburgh) 计算机信息学院 (Department of Informatics and Networked Systems, School of Computing and Information) Dr. Na Du 招收2022年春/秋季信息科学方向（人因工程，人机交互，或智能系统）全奖博士研究生1-2名，欢迎有工程、计算机、信息科学、设计或者心理学等相关专业的同学申请。
申请要求：
; 工程、计算机、信息科学、心理学、设计、或统计学等相关领域本科或者研究生学位。
; 托福成绩不低于80，绩点不低于3.3（4分制）
非常鼓励满足以下任一条件的同学申请：
; 具有人因工程，人机交互，或者智能系统方向研究经验
; 具备或者有兴趣将数据科学和机器学习的知识应用到人认知/行为建模
; 具有编程能力（e.g., Python, Java, C#, MATLAB, or R）或有搭建增强现实/虚拟现实/模拟器的经验
欢迎有兴趣申请的同学通过邮件联系Dr. Du (1point3acres.com)，请使用邮件名称“Prospective PhD Student”并附上以下信息：（1）简历；（2）成绩单复印件；（3）研究背景和兴趣简介；（4）如果有代表性文章或者写作样本也可附上。具体申请信息可参考：dins.pitt.edu
Dr. Na Du是匹兹堡大学计算机信息学院信息与网络系统系的助理教授（Assistant Professor, 2021年秋季入职）。她的研究兴趣包括人因工程，人机交互，人行为认知建模，用户设计/研究等。目前主要关注智能城市/交通等应用领域。她博士毕业于密西根大学工业工程系。欢迎访问 Dr. Du 的个人主页获取更多信息: nadu-pitt.github.io
匹兹堡大学(University of Pittsburgh)，又称“匹大” (PITT)，成立于1787年，是历史悠久的世界顶尖公立研究型大学，美国著名高等学府，也是美国最早的十所大学之一，被美国社会誉为“公立常春藤”大学。学校位列2021 U.S. News世界大学排名第43名。匹兹堡是全美治安最好的城市之一，同时也多次被评为全美最适宜居住城市，兼具悠久的历史记忆与现代化的都市景象。匹兹堡曾是美国著名的钢铁工业城市，有“世界钢都”之称，现已转型为以医疗（匹兹堡大学医学中心）、教育（匹兹堡大学和卡耐基梅隆大学）及高科技工业（谷歌、苹果、脸书、亚麻、优步、微软）为主之都市。
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