人机智能系统设计与分析博士生

Doctoral Student in Design and Analysis of Human-AI Systems
原始招聘页面

研究人机智能系统的设计与分析(偏理论)

0.02
面试概率评分
核心匹配 0.06
项目相关性 0.05
关键技能覆盖 0.05
形式资格 0.10
偏好加分 0.00
关键缺口 失格
硬性条件不满足:The JD requires a Master’s degree in applied mathematics, economics, operations, or a closely related field, which a biomedical PhD applicant’s degree typically does not satisfy.
评分理由
The core requirements are formal quantitative training and optimization/mechanism-design skills, which are not part of a typical biomedical wet-lab profile. The methodological paradigm is fundamentally different from the position’s theoretical AI/operations research focus. The gap is non-transferable and likely prevents interview consideration. · 迁移评估:Wet-lab biomedical methods do not transfer to theoretical optimization and mechanism design.
机构
ETH Zurich
地点
Zürich · CH
类型
博士生
截止
—
资助
funded
来源
🎓 ETH Zurich
软性注意
  • 工业界AI部署经验为加分项(非必需)
  • 研究以理论为主,需较强优化/机制设计等建模能力
数据完整(5/5),可生成高质量材料
PI 信息
主导师 Tu Ni 直接提取
身份 已确认 A5009268622
院系 Decision Sciences and Analytics group, ETH Zürich
联系邮箱 tunitu@ethz.ch
在 OpenAlex 手动核查
PI 近期论文(5 篇)
标记为「重要」或「很重要」的论文会进入 MV/CV 生成上下文;「一般」和「忽略」不进入。每次生成都读取最新标记。
[2024] The value of histopathologic examination and Xpert (MTB/RIF) assay in diagnosis of cervical lymph node tuberculosis after coarse needle biopsy guided by CEUS: a retrospective analysis of 612 cases 通讯作者
Wenzhi Zhang · ... · Tu Ni
待分析
[2024] Ultrasonographic and elastographic features of Rosai-Dorfman disease: A case report (with video) 第一作者
Tu Ni · Na Feng · Xu Zhang
[2023] 超声造影鉴别女性输尿管结核与输尿管恶性肿瘤的价值 通讯作者
Value of contrast-enhanced ultrasound in the differential diagnosis of ureteral tuberculosis from ureteral malignant tumour in women
Wenzhi Zhang · ... · Tu Ni
待分析
[2022] 超声造影在鉴别脾结核与脾淋巴瘤中的作用 通讯作者
The Role of Contrast-Enhanced Ultrasound in Differentiating Splenic Tuberculosis From Splenic Lymphoma
Wenzhi Zhang · ... · Tu Ni
待分析
[2022] 超声造影后颈部淋巴结活检标本物理特性与病变的相关性 通讯作者
Correlation between physical characteristics of biopsy specimen and disease of cervical lymph node after contrast-enhanced ultrasound
Wenzhi Zhang · ... · Tu Ni
待分析
手动添加论文 DOI
职位描述 / 要求

职位描述

100%, Zurich, fixed-term print The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position focuses on the development of AI systems with an emphasis on understanding and reshaping the role of human. The study context is broad, such as AI for clinical or legal decisions, AI for learning and education, etc. The research is mainly theoretical, but will be related to empirical study like field/lab experiments when necessary. Job description Analyze AI systems where the decision is often high-stake or with long-term impact Design AI systems that lead to efficient and reliable outcomes Write high-quality papers and publish on top-tier OM journals Work with external organizations to evaluate the methods if needed In addition to research activities, they will contribute to lab responsibilities (e.g. teaching, advising master thesis) Profile Hold (or will have completed at the time of appointment) a Master’s degree in applied mathematics, economics, operations, or a closely related field Excellent academic records and is motivated to produce high-quality, policy-relevant research Have excellent analytical and modeling skills: optimization, mechanism design, etc Have excellent verbal and written communication skills Have industrial experience in AI deployment is a plus Workplace Workplace We offer The starting date is negotiable, but hopefully in six months The position is initially offered for 18 months, with the prospect of extension for four- to five-year duration of the doctorate, subject to satisfactory progress We offer the opportunity to pursue a high-quality PhD at a renowned institution and to work in a dynamic and collaborative research environment Gross salary will be in accordance with the regulatons of ETH Zurich chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future . Curious? So are we. We look forward to receiving your online application with the following documents : A letter of motivation that includes an explanation why you are interested in doing a PhD and fit for the position (within one page) A resume/CV Complete academic record with undergraduate and graduate courses and grades Arrange at least two references and provide the contact information Further information about our Department can be found on our Website . Questions regarding the position should be directed to Tu Ni, tunitu@ethz.ch (no applications or unsolicited outreach). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Curious? So are we. We look forward to receiving your online application with the following documents : A letter of motivation that includes an explanation why you are interested in doing a PhD and fit for the position (within one page) A resume/CV Complete academic record with undergraduate and graduate courses and grades Arrange at least two references and provide the contact information Further information about our Department can be found on our Website . Questions regarding the position should be directed to Tu Ni, tunitu@ethz.ch (no applications or unsolicited outreach). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Apply online now About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Let’s connect

职位要求

Hold (or will have completed at the time of appointment) a Master’s degree in applied mathematics, economics, operations, or a closely related field Excellent academic records and is motivated to produce high-quality, policy-relevant research Have excellent analytical and modeling skills: optimization, mechanism design, etc Have excellent verbal and written communication skills Have industrial experience in AI deployment is a plus

申请材料(AI 定制)

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非第一/通讯作者

在作者列表中未找到 PI 作为第一或通讯作者,可能影响 MV/CV 生成质量。