“可持续生成式人工智能与数字主权”博士研究生岗位

该博士项目旨在设计可持续且高效的生成式人工智能系统，以增强数字自主性并符合环境目标，从而支持欧洲在负责任技术领导方面的发展目标。申请者应拥有计算机科学、人工智能或相关领域的硕士学位，并对跨学科研究有浓厚的兴趣。

职位说明： 生成式人工智能被广泛预期将成为数字转型的核心要素。其灵活性与适应性使多个领域的企业能够快速创新，应对不断变化的环境，并降低自动化实施的障碍。为了让社会从这些进步中获益，组织必须仍对敏感信息及关键决策工具保持控制权。 减少对外部提供商的依赖能够增强数字自主性，而更高效的AI运行方式则有助于将技术进步与环境和能源目标相结合。通过设计同时具备可持续性、主权性、安全性及效率性的系统，本博士项目将支持欧洲在负责任技术领导方面更大的愿景。 职位概述： 主要职责： 旨在对现有基础模型进行深入评估，以判断其是否适用于数字产业、汽车及医疗保健领域。同时设计面向计算连续体的可持续推理策略与框架。 与 f-inference 联盟的专家合作，共同设计、开发、测试并完善相关策略与框架。 在跨学科团队环境中独立工作，并在协作中贡献力量。 项目影响力： 该项目将通过实用工具使先进生成式人工智能技术易于获取，从而帮助企业尤其是中小企业采用最先进的人工智能模型。预期成果将提升竞争力，支持可持续创新，并推动欧洲范围内的更加包容的数字转型。

职位要求： 计算机科学/工程、人工智能、数据科学或相关领域的理学硕士专业。 强大的分析能力 对跨学科研究以及人工智能在跨机构背景下的应用具有浓厚兴趣 能够在充满活力的多学科环境中独立及协作工作。 出色的英语能力 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做出贡献。 180 多年来，我们一直培养能够在全球范围内的企业、政府机构或企业家群体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解决方案。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。 我们的教育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，我们的人员发挥着关键作用。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，并开展超越校园范围的开创性研究。你将有机会主动担当、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 TPM 学院在解决能源转型、交通出行、数字化、水资源管理及（网络）安全等复杂的技术与社会问题方面做出了重要贡献。TPM 通过其在技术、社会与政策交叉领域的卓越教育与研究工作实现了这一目标。我们融合工程学、社会科学以及人文学科的见解。TPM 致力于开发稳健的模型与设计，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 1 November 2026 via the application button and upload the following documents: your CV motivation letter official list of all courses followed during your BSc and MSc studies with grades your MSc thesis If the applicants are selected for an interview, they will be asked to provide contact details of two referees with their consent. The start date is flexible, but foreseen for summer/fall 2026. Screening starts as applications come in. 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.