人工智能驱动智能材料表征与建模博士候选人

该博士项目专注于利用人工智能技术对智能材料进行表征与建模，以应用于自适应海上结构，旨在提升其在不同工况下的力学性能与耐久性。该研究结合实验研究与计算模拟方法，包括物理信息建模与机器学习技术，从而构建可用于海洋基础设施领域的预测模型。

关于该职位： 您是否希望在人工智能、材料科学与海洋工程的交汇处工作，为下一代智能且可适应的海洋结构物的发展做出贡献？挪威科技大学结构工程系现有一个博士研究生的职位，负责人工智能驱动的智能材料特性表征与建模研究。该职位属于 AIMOS 项目（用于多尺度海洋结构的人工智能技术），该项目致力于开发用于浮动海洋系统分析、设计、监测及控制的综合人工智能方法。 该博士项目专注于具有应用潜力的智能材料的实验表征与计算建模，这些智能材料可用于自适应海上结构。这些材料为开发能够主动应对环境及运行条件变化的结构系统提供了新机遇。核心挑战在于理解并预测其力学行为，包括刚度变化、响应时间以及长期耐久性，同时构建适合结构模拟的计算效率高的模型。 该候选人将结合实验研究、物理信息建模及人工智能技术，建立预测性材料模型，并评估基于智能材料的海洋结构驱动系统的可行性。该职位提供了在材料力学、人工智能与海洋工程交叉领域开展前沿研究的机会，有助于推动更具适应性且更耐力的海洋基础设施的发展。您的直接领导将是部门负责人。 职位职责： 需修读相关技术主题的课程，且总学分不得少于30ECTS。 在上述框架内开展高质量研究 学术论文发表与科普传播 在 AIMOS 项目中与 AIMOS 的其他博士候选人合作，从事流体-结构相互作用及智能人工智能研究。 在该系 SIMLab 研究小组参与研究 请做好在就业后工作职责发生变化的准备。

Required selection criteria: You must have a relevant Master's degree in mechanical engineering, computer science, or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than 01.01.2027. You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale . If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program ( ［会员资料链接］ ) Very good English skills (both written and spoken) Applicants from non-English speaking countries outside Europe must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are: TOEFL: 600 / writing 4.5 (paper-based) or 92 / writing 22 (internet-based) IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted) CAE/CPE: grade B or A. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria: Strong background in mechanical, or structural engineering disciplines, including material mechanics Solid knowledge of finite-element analyses, computational plasticity Strong programming skills in Python Experience with AI and data-driven methods, such as machine learning applied to engineering problems Experience with experimental work or data analysis Personal characteristics: To complete a doctoral degree (PhD), it is important that you are able to: Work independently and in structured way, as well as collaboratively within an interdisciplinary team. Have good communication skills, able to present and discuss your research with other professionals Get involved and contribute constructively with feedback Work constructively under pressure or in the face of adversity Show curiosity and a strong motivation for the subject Analyse data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. Diversity: Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful . We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.

We offer: Evaluate and remove/add what is relevant for the position. An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital that can be used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) As a PhD Candidate at NTNU, you will have access to employee benefits . Salary and conditions: In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.

关于申请： 附件（包括您的科研工作描述）必须随申请文件提交，因为这些文件是评估申请的基础。这些文件必须使用挪威语/斯堪的纳维亚语言或英语。 请注意：申请将仅根据我们在申请截止日期前收到的材料进行评估。因此，请确保您的申请明确说明您的技能与经验如何符合上述要求。申请及所有附件必须通过 Jobbnorge.no 以电子方式提交。如果您被邀请参加面试，必须根据要求携带证书和文凭的认证副本。 申请必须包含： 学士和硕士阶段的成绩单与学位证书 个人简历 CV 硕士论文副本。如果您近期已提交硕士论文，可以附上论文初稿。获得完整硕士学位的证明文件必须在入职之前提交。 项目大纲包含关于研究问题总体描述、理论视角、项目方法论设计及进展计划的建议（字数上限为1500字/4页） 简短动机信（400字/1页） 可能的论文发表及其他相关研究工作 三位相关推荐人的姓名与联系方式 如果您的所有或部分教育经历均在国外完成，除其他高等教育背景外，我们还要求您附上关于您整个教育体系的范围及质量的证明文件，包括本科和硕士阶段的教育。如果您的院校采用“文凭补充文件”（这是大多数欧洲院校的常见做法），则必须提供此文件。所需文件的描述可在此处查看。如果您已获得挪威高等教育与技能局（HK-dir）的声明，也请一并提交。 将考虑合作研究。如果难以明确您在合作研究中的贡献，必须附上关于您参与情况的简要说明。 在评估最合格的候选人时，我们注重其必要的资质，如教育背景、经验以及个人适配性。候选人的动机、抱负及研究潜力也在评估过程中被考虑。挪威科技大学认同多种形式的学术贡献，并致力于《旧金山研究评估宣言》与 CoARA 原则（根据挪威科技大学的社会使命，对研究进行负责任的评估，并认可更广泛的学术贡献）。