博士研究生岗位优化多主体运输与物流系统

该研究项目致力于开发新的方法论，将运筹学与博弈论相结合，以解决多主体运输与物流系统中的决策问题。研究工作包括构建可扩展的优化算法及数学模型，以充分考虑系统中各参与方的互动与目标。申请者应具备数学优化及编程技能经验。

职位说明： 运输与物流系统由众多参与者组成，这些参与者往往具有相互冲突的目标，并不断努力提升其绩效。这些参与者之间的竞争与合作会影响其决策过程，而传统的单一决策者的混合整数线性规划（MILP）模型无法反映这一点。本博士项目的目标是在运筹学与博弈论的交叉领域开发新的方法学，以解决这些问题。其应用范围可超越运输与物流领域。 您的研究将重点在于数学建模与算法开发，以规划及运营多主体系统，同时需考虑一个主体的行为会对其他主体的机会与绩效产生影响。该职位的核心方法论要求包括针对大规模且计算复杂度高的问题实例开发可扩展优化算法。您将构建数学规划模型，并运用列生成法、分支定价法及Benders分解等技术设计解决方案。 您需承担以下职责： 开发用于多主体决策问题的新的博弈论与优化模型。 设计适用于大规模优化问题的可扩展解决方案方法； 在运筹学、运输与物流领域的重要期刊上参与科学论文的撰写。 向跨学科受众传达研究成果。 您将加入工程系统与服务系的运输与物流部门。

职位要求： 我们正在寻找符合以下要求的候选人： 拥有运筹学、计量经济学、应用数学、计算机科学、工业工程、系统与控制或相关学科领域的理学硕士学位。 在数学优化领域具有深厚的背景与丰富经验，尤其是混合整数规划方面。 优秀的编程技能（如 Python、Julia、Java 或 C++），以及优化求解器的使用经验。 具备出色的学术写作与英语沟通能力。 具备开放协作的态度，并能在跨学科及国际研究环境中有效工作。 具备博弈论、双层优化及基于分解的求解算法相关知识将视为加分项。 代尔夫特理工大学（代尔夫特大学） 在代尔夫特理工大学工作意味着为真正具有影响力的解决方案贡献力量。 自180多年来，我们一直培养能够在全球各类企业、政府机构或企业家身份中产生影响力的工程师。我们的校友将知识转化为应对当今与未来挑战的具体方案。这些挑战正在迅速变化。因此，我们每天都专注于能源、气候、数字化、人工智能（AI）和智能交通等主题。 我们的教学与研究直接契合社会当前及未来的需求。 在代尔夫特理工大学，我们的人员至关重要。凭借他们的知识与好奇心，教职员工提供高质量的教育服务，并开展开创性研究，其影响范围超越校园边界。您将有机会主动担当、与他人合作，并不断提升专业水平。在代尔夫特理工大学工作意味着加入一个由专业人士与学生组成的国际社区。我们共同创造知识、创新成果及解决方案，助力世界进步发展。 技术、政策与管理学院 代尔夫特理工大学技术、政策与管理学院对解决复杂的技术与社会问题做出了重要贡献，例如能源转型、交通出行、数字化、水资源管理以及（网络）安全领域。TPM通过其在技术、社会与政策交叉领域的卓越教育与研究成果实现了这些贡献。我们融合工程学、社会科学及人文学科的见解。TPM致力于开发稳健的模型与设计方案，具有国际视野，并拥有广泛的知识机构、企业、社会组织及政府网络。 点击此处进入技术、政策与管理学院的网站。

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.

Application procedure: Are you interested in this vacancy? Please apply no later than 22 November 2026 via the application button and upload the following documents: CV Motivational letter You can address your application to ［会员专属信息］. 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.