数字孪生模型博士职位

PhD Position in Digital Twins of Embryonic Development

Eidgenössische Technische Hochschule Zürich ETH · 瑞士 · Basel

原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。

AI 中文速览

研究内容
开发数字孪生模型,研究胚胎发育
申请条件
硕士学位,扎实的发育、细胞和分子生物学基础,数学建模和科学计算经验
待遇
提供有竞争力的博士生工资和条件,包括会议差旅和培训
申请方式
申请方式:在线申请,需提交动机信、简历、学位证书和成绩单、两位推荐人的联系方式
材料清单
  • 动机信
  • 简历
  • 学位证书和成绩单
  • 两位推荐人的联系方式

由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成,博士岗判定置信度 100%。

结构化信息

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学科
计算机科学
合同类型
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内容更新
导师
Prof Dagmar Iber
来源
瑞士高校与研究机构官方招聘 · 最近核对 2026-10-07
判定依据(原文摘录)
  • is_phd
    PhD Position in Digital Twins of Embryonic Development
  • english_ok
    good written and spoken English
原文

PhD Position in Digital Twins of Embryonic Development

100%, Basel, fixed-term

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The Computational Biology Group (Prof Dagmar Iber) at D-BSSE develops digital twins of embryonic development using image-based mechanistic modelling and simulation.

Project background

Organogenesis, the formation of organs during embryonic development, depends on tightly coordinated cell signalling, growth and mechanics. Our group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. We work closely with experimental collaborators and develop open-source simulation tools.

Job description

The PhD position focuses on developing mathematical and computational models of mouse and human development. You will:

• develop data-based, mechanistic models and simulations of tissue development

• integrate quantitative imaging data from experimental collaborators into your models

• publish your results and present them at international conferences

• contribute to the group's open-source simulation tools and to teaching

Profile

We are looking for a self-motivated candidate who is enthusiastic about developing data-based mathematical models in developmental biology. The position suits someone with training in biology, mathematical modelling and scientific computing.

You should have:

• a Master's degree

• a solid understanding of developmental, cell and molecular biology, and the ability to interpret experimental and imaging data

• experience in mathematical modelling, for example with ordinary or partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project

• programming experience in a language such as Matlab, Julia, Python or R

• good written and spoken English

During the PhD you may also work with finite element methods (e.g. COMSOL) and C++ software. Prior experience with these is not required.

Workplace

Workplace

We offer

• A PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and biology

• Close collaboration with leading experimental groups

• Excellent infrastructure and computing resources at ETH Zurich

• Support for your scientific development, including conference travel and training

• Competitive ETH doctoral salary and conditions

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

• CV

• BSc & MSc diplomas and transcripts

• Contact details of 2 referees

Applications will be reviewed on a rolling basis until the position is filled.

Further information about the CoBi group can be found on our website . Questions regarding the position should be directed to Prof Dagmar Iber, dagmar.iber@bsse.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.

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