数据驱动非线性动力系统建模与控制博士
PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data
开发非线性动力系统的数据驱动建模与控制方法
0.06
面试概率评分
核心匹配 0.14
项目相关性
0.05
关键技能覆盖
0.10
形式资格
0.40
偏好加分
0.00
关键缺口
严重
评分理由
The candidate's biomedical background lacks the required strong mathematical foundation and prior research experience in fluid mechanics, structural vibrations, model reduction, or control, which are hard requirements. The project demands nonlinear dynamical systems methods and data-driven analysis, core skills absent from a typical biomedical profile. The gap is in critical hard skills and is not transferable, making interview invitation unlikely. · 迁移评估:Not transferable; biomedical wet-lab and biological methods do not translate to nonlinear dynamics modeling.
软性注意
- 非线性动力系统方法与数据驱动分析经验是加分项
数据完整(5/5),可生成高质量材料
PI 信息
主导师
George Haller
直接提取
院系
Department of Mechanical and Process Engineering or Department of Mathematics
联系邮箱
georgehaller@ethz.ch
PI 近期论文(10 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。
[2026] 时滞系统中谱子流形的存在性
通讯作者
Existence of Spectral Submanifolds in Time Delay Systems
待分析
[2026] 参数化方法在非自治系统演化流中的应用
通讯作者
An application of the parameterization method to evolution flows associated to nonautonomous systems
待分析
[2026] 跨越Hopf分岔的参数化谱子流
通讯作者
Parametric Spectral Submanifolds across Hopf Bifurcations with Applications to Fluid Dynamics
[2026] Parametric spectral submanifolds across Hopf bifurcations with applications to fluid dynamics
通讯作者
待分析
[2026] 预测非线性机械系统中的次谐波与超谐波骨架曲线
第一作者
Predicting subharmonic and superharmonic backbone curves in nonlinear mechanical systems
[2026] 基于数据的软体机器人肌肉非线性谱建模与控制
通讯作者
Nonlinear spectral modeling and control of soft-robotic muscles from data
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 Chair in Nonlinear Dynamics at ETH Zürich is inviting applications for a 100% PhD position in the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly interpretable alternative in modelling to the black-box approach of neural networks.
Job description
The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming to further develop concepts in nonlinear model reduction
Possible research directions include the development of nonlinear modelling and control approaches for fluid-structure interactions, material with memory, soft robotics, tele-operated systems, lightweight space structures, and turbulent flows
Ongoing and prior work in related areas by the Chair in Nonlinear Dynamics can be found at the
group website
The position will be based at either the Department of Mechanical and Process Engineering or the Department of Mathematics, depending on the candidate’s background and preferences
The starting date is flexible but an early start is preferred
Profile
The successful candidate is expected to have a master's degree in mechanical engineering, applied mathematics, physics, or related areas
Strong mathematical skills (evidenced by high grades) are required and will be tested in technical interviews.
Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected
Experience in nonlinear dynamical systems methods and data-driven analysis is a plus
Workplace
Workplace
We offer
Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
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
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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 CV
Bachelor and Master’s transcripts
The contact information of at least two references
Further information about the group can be found the
Chair of Nonlinear Dynamics website
. Questions regarding the position should be directed to Prof. George Haller, georgehaller@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.
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 CV
Bachelor and Master’s transcripts
The contact information of at least two references
Further information about the group can be found the
Chair of Nonlinear Dynamics website
. Questions regarding the position should be directed to Prof. George Haller, georgehaller@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.
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
The successful candidate is expected to have a master's degree in mechanical engineering, applied mathematics, physics, or related areas Strong mathematical skills (evidenced by high grades) are required and will be tested in technical interviews. Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear dynamical systems methods and data-driven analysis is a plus
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