博士申请 | 阿尔伯塔大学招收人工智能方向全奖博士生、硕士生
合适的工作难找？最新的招聘信息也不知道？
AI 求职为大家精选人工智能领域最新鲜的招聘信息，助你先人一步投递，快人一步入职！
University of Alberta
阿尔伯塔大学（University of Alberta），始建于 1908 年，是坐落于加拿大阿尔伯塔省会埃德蒙顿的一所世界顶尖研究型大学，是加拿大 U15 研究型大学联盟创始成员、世界大学联盟成员以及世界能源大学联盟成员。阿尔伯塔大学的人工智能专业在全球居于领先地位，全球顶级计算机科学机构排名 CSRankings 2010-2020 年度人工智能领域世界排名第 37 名，其中人工智能和机器学习世界第 6 名。强化学习之父 Rich Sutton、以及 Alpha Go 的主要作者大卫·席尔瓦 （David Silver）和黄士杰（Aja Huang）均来自阿尔伯塔大学。The Project
Our project goal is to improve the clinical management of children and youth suffering from scoliosis by reducing cumulative X-ray exposure during their growing years, resulting in improved long-term health outcomes.
Scoliosis is an orthopaedic condition resulting in curvature and rotation of the spine. It typically first appears during adolescence, and affects females more than males. Asymmetry of the torso is one of the symptoms. Scoliosis is diagnosed and monitored using x-rays. Unfortunately, x-rays expose young patients to the effects of radiation including a documented increase in cancer risk. Surface topography (ST) is a non-invasive three dimensional (3D) assessment of the torso shape. Using a laser scanner, 3D images of the torso are acquired and the asymmetry of the torso is measured. The severity of scoliosis is then quantified using indices reflecting the symmetry of the torso.
Previous studies using surface topography with 2D measurements instead of the available 3D data were not able to accurately predict the severity of the spinal curvature. In our recent work, we introduced a novel 3D asymmetry technique that does not rely on markers placed on the torso or on simple 2D measurements. Our ST measures were able to quantify the severity and progression of scoliosis.In the current proposal, we will develop artificial intelligence techniques to better use the surface topography parameters to estimate the actual shape of the underlying spinal curvature. The developed methods will be designed to ensure that no moderate/severe curves are missed and that all progressing curves are detected to make sure that patients are not missing important treatment opportunities, while dramatically reducing the x-ray radiation exposure to patients. This project involves an exciting multidisciplinary collaboration with research teams across engineering and medicine.
1. Applicants must hold a Master’s of Science (or Engineering) degree in a relevant discipline (e.g., civil engineering, mechanical engineering, computer science, electrical/computer engineering, etc.). Candidates with a Bachelor’s of Science (or Engineering) degree may also be considered.
2. Applicants should be willing and able to register in the University of Alberta’s Ph.D. program in Mechanical Engineering (strong M.Sc. level candidates may also be considered).
3. Applicants should be highly motivated, well organized and passionate about research with good communication skills in English. Please refer to the U of A requirements for English Language Proficiency.
4. Applicants should have strong desire to conduct transformational research in close collaboration with clinical professionals. Applicants must have a minimum GPA of 3.3.
5. The position is open to Canadian Citizens, permanent residents of Canada, and International Students.
January 2022 (earlier or later start dates may be considered)
Interested candidates may contact Dr. Lindsey Westover or Dr. Qipei Mei by email (lwestove@ualberta.ca or qipei@ualberta.ca) with a recent CV, transcripts, and cover letter.
实习内推
OPPO 数据智能隐私计算团队｜百度 ACG 智慧城市事业部｜阿里巴巴达摩院决策智能实验室｜元象唯思认知智能组｜京东搜索检索团队｜远鉴科技｜腾讯天衍实验室｜华为诺亚方舟实验室｜上海人工智能实验室｜酷哇机器人
高校招生清华大学 NLP 实验室｜清华大学李涓子教授课题组｜日内瓦大学｜香港大学｜哥本哈根大学｜代尔夫特理工大学｜香港中文大学（深圳）｜慕尼黑工业大学｜香港中文大学（深圳）吴保元教授课题组｜香港大学计算系 NLP 实验室｜南洋理工大学
为了更好地了解和满足大家的需求，我们建立了「求职者社群」。
加入 AI 求职社群，你可以享有招聘需求曝光、获取最新面试经验、校招准备攻略、硕博招生和独家内推渠道等服务。
扫描下方小助手的微信，pick 你心仪的岗位~
AI 求职是「PaperWeekly」旗下聚焦人工智能领域的招聘平台，涵盖高校硕博招生、博士后招募、企业校招、社招、实习和内推等。