控制理论与交通系统数字孪生方向博士职位

PhD Position Control Theory for Self-Designing Digital Twins of Transportation Systems

Delft University of Technology · 荷兰

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
本项目旨在利用形式化控制理论构建和验证自设计数字孪生,并将其应用并提升代尔夫特理工大学先进的交通系统数字孪生(基于SUMO),研究内容涵盖自动数学契约框架开发、控制器参数化配置方法、复杂控制策略(如MPC和RL)的设计与验证以及系统互联稳定性研究。
申请条件
申请者需拥有系统与控制、应用数学、电气工程、计算机科学或相关领域的理学硕士学位(MSc),具备控制理论、机器学习或数字孪生技术的基本知识,拥有强分析能力及良好的Python编程技能,且需具备良好的英语沟通能力。
待遇
代尔夫特理工大学提供为期4年的全职(38小时/周)博士雇佣合同(通常分1.5年和2.5年两阶段),月薪根据荷兰大学集体劳资协议从第一年的3204欧元逐年递增至第四年的4051欧元,另享8%假期津贴、8.3%年终奖及丰富的定制化薪酬福利包。
申请方式
申请截止日期为2026年10月14日,必须通过官方系统在线申请,不得通过电子邮件或邮寄提交。
材料清单
  • 一页求职信和简历(PDF 1)
  • 本科和硕士学位的学术成绩单(PDF 2)
  • 硕士论文、科学报告或已发表论文的一部分(PDF 3)

由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。

结构化信息

截止
原帖未给出
学科
工程
合同类型
雇佣合同
原文薪资
EUR 3,204–4,051 / 月(税前)
税后月薪(估)
¥19,000–¥24,000;房租后 ¥11,100–¥16,100
估算假设
单身、无子女、雇佣合同的粗略估算,以学校 offer 为准;扣除率 25%;汇率日期 2026-10-01
本站收录
内容更新
导师
Carlo Cenedese
来源
Delft University of Technology 官方招聘 · 最近核对 2026-10-09
详情核验
判定依据(原文摘录)
  • is_phd
    This PhD builds digital twins that design themselves
  • english_ok
    Good command of the English language and good communication skills.
  • bachelor_ok
    An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or related fields.
  • employment_type
    Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts.
原文

This PhD builds digital twins that design themselves, using formal control theory to configure and verify them, then puts that theory to work on transportation systems

Job description On this PhD project you will delve into the growing field of digital twins for infrastructure systems, with a focus on transportation systems. Digital twins are high-fidelity simulations combining principle-based models and black-box/data-driven representations of physical systems. While essential for high-accuracy predictions and counterfactual analysis, they are inherently complex and difficult to analyze due to the lack of standardization and a unified design theory. This project will tackle this problem from a theoretical angle in three main ways:

• You will develop a framework for the autonomous design of formal mathematical contracts, based on the system description and functional requirements. This will lead to the creation of abstract classes used to describe the digital twin. • You will then design methods for automatically choosing the right parametrization of controllers to autonomously configure them to the abstract classes, ensuring stability and performance based on the requirements and specifications, e.g. via federated, scenario/sampling-based contract compositions. • Additionally, you will theorize how to design and verify complex control policies such as MPC and RL. • Additionally, you will study the effect of interconnecting digital twins of different systems and the effect on their stability.

You will be able to work towards improving our state-of-the-art advanced digital-twin of transportation systems (based on SUMO).

You will work at the Delft Centre of Systems and Control (DCSC) and will be supervised by Carlo Cenedese & Manuel Mazo.

TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence and Control Systems. The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics and transportation systems. The group actively participates in the Dutch Institute of Systems and Control (DISC).

Job requirements • An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or related fields. • Basic knowledge of control theory and/or machine learning and/or digitl twin technologies (waived if the candidate is particularly skilled on theoretical computer science, optimization, or mobility systems). • Strong analytical skills and an ability to work at the intersection of several research domains, in particular control theory, computer science, and transportation engineering. • Good programming skills are expected, in particular Python. Knowledge of other programming lenguages is not mandatory but apprecated. • Good command of the English language and good communication skills.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.

These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.

Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click  here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These  videos will introduce you to some of our researchers and their work.

Conditions of employment Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3204 - €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

Additional information For more information about this vacancy, please contact Dr. Carlo Cenedese, C.Cenedese@tudelft.nl .

Application procedure Are you interested in this vacancy? Please apply no later than 14 October 2026 via the application button and upload the following documents: • (pdf 1) 1-page Motivation letter and your CV • (pdf 2) Academic transcripts of both your BSc and MSc degrees • (pdf 3) A (part of your) M.Sc. thesis, a scientific report, or a paper that you have written, in which you demonstrate your writing skills

Please highlight in your motivation letter and/or CV examples of projects and achievements that demonstrate your relevant competences. You can address your application to Dr. Carlo Cenedese.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .

Please note: • You can apply online. We will not process applications sent by email and/or post. • As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security. • Please do not contact us for unsolicited services.

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