RobotX 2027 博士奖学金

RobotX PhD Fellowship 2027
原始招聘页面

RobotX 联合招募机器人方向博士生

0.12
面试概率评分
核心匹配 0.26
项目相关性 0.25
关键技能覆盖 0.20
形式资格 0.40
偏好加分 0.15
关键缺口 严重
评分理由
No candidate profile was supplied, so the assessment rests on the stated 'biomedical PhD applicant' framing. The JD is a robotics fellowship whose core required evidence is demonstrated experience carrying a robotics project to a working result on real hardware plus strong programming in robotics frameworks; a wet-lab biomedical training record gives essentially none of that primary signal. The one adjacent thread is the Biohybrid Robots area (tissue engineering, engineered muscle actuation), which offers weak-but-real domain proximity, but the experimental paradigm gap (biology bench vs. robotics build/code) is fundamental and not quickly transferable, making this a serious shortlist risk. · 迁移评估:Wet-lab biomedical methodology does not transfer to robotics hardware/software/control; only the Biohybrid Robots area has adjacent tissue-engineering overlap.
机构
ETH Zurich
地点
Zürich · CH
类型
博士生 结构项目
截止
2026-11-27
资助
funded
来源
🎓 ETH Zurich
软性注意
  • 优先考虑具备机器人软件框架经验的申请者(robotics software frameworks is a plus)
  • 理想情况下有将项目从构思做到真实硬件成果的经验(ideally a project you carried from idea to a working result on real hardware)
信息待补充(影响 CV/MV 生成质量)—— 3/5
以下信息不全,建议补充后再生成材料:PI 姓名(待补充) · PI 论文(无PI)
PI 信息
主导师 — 待解析
身份 未确认
院系 RobotX, Center for Robotics, ETH Zurich
联系邮箱 idenitti@ethz.ch
在 OpenAlex 手动核查
职位描述 / 要求

职位描述

100%, Zurich, fixed-term print RobotX, the Center for Robotics at ETH Zurich, is looking for outstanding doctoral students who want to build robots that work in the real world. With the RobotX PhD Fellowship 2027, you apply once and are considered by several RobotX research groups across ETH Zurich. You choose up to three professors you would like to work with, and they review your application. Application deadline: 27 November 2026. Job description The research groups of RobotX cover a broad spectrum of robotics, including but not limited to: Soft and Musculoskeletal Robotics: bioinspired robots built from compliant materials, artificial muscles, and tendons, for safe and adaptive interaction with an unstructured world. Robotic Locomotion and Manipulation: legged robots, robot arms, and hands that move and act reliably in complex terrain and contact-rich tasks. Biohybrid Robots: robots built from living cells, engineered tissue, and synthetic materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable perception of their surroundings. Human-Robot Interaction: sensory-motor interaction between humans and machines for assistive, rehabilitative, and cooperative tasks. Computational Design and Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn new skills and adapt to new tasks and environments. Humanoid Robotics and Tactile Sensing for Manipulation: humanoid loco-manipulation, whole-body control, and tactile sensing that let robots reason across touch and vision to handle objects dexterously. Motion Planning and Control: algorithms for navigation, control, and decision-making in dynamic environments. Safety-Critical Robotic Systems: robots that perform reliably under uncertainty, in particular when they work alongside humans. You define your doctoral project together with your supervisor during your first months. Profile A Master's degree in mechanical or electrical engineering, computer science, robotics, bioengineering, materials science, or a closely related field, completed by August 2027 An excellent academic record in both your Bachelor's and Master's studies Demonstrated experience in one or more of the research areas above, ideally a project you carried from idea to a working result on real hardware Strong analytical and problem-solving skills, and the drive to do independent research Strong programming skills; experience with robotics software frameworks is a plus Excellent written and spoken English Workplace Workplace We offer A fully funded doctoral position at ETH Zurich, employed at the ETH doctoral salary rate with full social benefits Supervision by a RobotX professor and access to the RobotX network of robotics groups across ETH Zurich Start date by agreement in 2027 Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits. 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 as one merged PDF file, ideally under 10 MB, with the documents in this order: Cover letter: your research motivation, what you have built so far, and which RobotX research groups you want to work with and why CV, including any publications or preprints Transcripts of your Bachelor's and Master's degrees in English, with the local grading scale Names and contact details of three references, each with an email address and a direct phone number One publication, thesis, or project report that shows your research and writing Name the PDF with the application date (YYMMDD) and your last and first name. For example, Jane Miller applying on 1 December 2026 names her file 261201_MillerJane_application.pdf . Further information about RobotX can be found on our website . Questions regarding the fellowship should be directed to Ms. Isabella De Nitti, idenitti@ethz.ch (no applications). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. 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 as one merged PDF file, ideally under 10 MB, with the documents in this order: Cover letter: your research motivation, what you have built so far, and which RobotX research groups you want to work with and why CV, including any publications or preprints Transcripts of your Bachelor's and Master's degrees in English, with the local grading scale Names and contact details of three references, each with an email address and a direct phone number One publication, thesis, or project report that shows your research and writing Name the PDF with the application date (YYMMDD) and your last and first name. For example, Jane Miller applying on 1 December 2026 names her file 261201_MillerJane_application.pdf . Further information about RobotX can be found on our website . Questions regarding the fellowship should be directed to Ms. Isabella De Nitti, idenitti@ethz.ch (no applications). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. 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

A Master's degree in mechanical or electrical engineering, computer science, robotics, bioengineering, materials science, or a closely related field, completed by August 2027 An excellent academic record in both your Bachelor's and Master's studies Demonstrated experience in one or more of the research areas above,

申请材料(AI 定制)

未生成

点击下方按钮,AI 将基于你的背景和该职位需求生成定制的 CV 和 MV(Word + PDF)。约需 20-40 秒。

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。