生成式AI计算设计方法博士岗位
Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design
用LLM与设计语法做生成式工程设计研究
0.03
面试概率评分
核心匹配 0.08
项目相关性
0.05
关键技能覆盖
0.05
形式资格
0.20
偏好加分
0.00
关键缺口
严重
评分理由
The candidate is described only as a biomedical PhD applicant with no demonstrated background in mechanical engineering, computational design, Python, machine learning, or LLMs. This position requires a Master's in Mechanical Engineering or a related field and strong programming skills, and its core methods are generative AI and formal design grammars—none of which align with a typical wet-lab biomedical profile. The mismatch is a fundamental paradigm gap, making shortlist probability very low. · 迁移评估:No transferable methodology from wet-lab biomedicine to computational AI/engineering design.
软性注意
- 德语为加分项但非必需
- 具备计算设计方法经验者优先
- 具备机器学习经验者优先
- 具备大语言模型(LLM)经验者优先
- 有科学出版物者优先
- 要求提交本科与硕士成绩单及两位推荐人
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
Engineering Design and Computing Laboratory (EDaC), ETH Zurich
职位描述 / 要求
职位描述
100%, Zurich, fixed-term
print
The Engineering Design and Computing Laboratory has a fully-funded doctoral position to work on cutting-edge research combining Large Language Models (LLMs) with formal design grammars for generative engineering design.
The starting date is in February 2027 and latest in September 2027. Applications are considered on a rolling basis until the closing date of November 01, 2026.
Job description
Investigate new approaches in generative AI for engineering design
Explore how LLMs can act as collaborative partners for human designers
Use LLMs to Represent engineering designs, Reason about design solutions, Generate new design solutions, Explore different solution spaces
Investigate applications in Consumer products, Manufacturing, Structures
Provide teaching assistance in Engineering design, Product development, CAD
Profile
Creative and curious, with an interdisciplinary mindset
Interested in applied AI for engineering design
Interested in computational design methods
Master’s degree in Mechanical Engineering or a related field
Motivated to conduct internationally leading research
Strong programming skills in Python
English is the main working language
German is an advantage but not required
Experience with computational design methods is an advantage
Experience with machine learning is an advantage
Experience with Large Language Models (LLMs) is an advantage
Excellent applicants with a strong interest in research and innovation are encouraged to apply
Workplace
Workplace
We offer
Fully funded doctoral position with a competitive salary
Only a small tuition fee is required at ETH
Join a highly motivated, international team at one of Europe’s leading universities
Work in an engaging and ambitious research environment
Opportunities to collaborate with students, other research labs, industrial partners
Opportunity to shape the lab’s research direction with your own ideas
Contribute to and strengthen the lab’s international research profile
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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:
CV
university transcripts for both the Bachelor and Master degree
two references that can be contacted for reference letters
Scientific publications are an advantage
a maximum of three should also be included when available
Further information about Engineering Design and Computing Laboratory can be found on our
website
. Questions regarding the position should be directed to info-edac@mavt.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 with the following documents:
CV
university transcripts for both the Bachelor and Master degree
two references that can be contacted for reference letters
Scientific publications are an advantage
a maximum of three should also be included when available
Further information about Engineering Design and Computing Laboratory can be found on our
website
. Questions regarding the position should be directed to info-edac@mavt.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
Profile
Creative and curious, with an interdisciplinary mindset
Interested in applied AI for engineering design
Interested in computational design methods
Master’s degree in Mechanical Engineering or a related field
Motivated to conduct internationally leading research
Strong programming skills in Python
English is the main working language
German is an advantage but not required
Experience with computational design methods is an advantage
Experience with machine learning is an advantage
Experience with Large Language Models (LLMs) is an advantage
Excellent applicants with a strong interest in research and innovation are encouraged to apply
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。