下一代人工智能数据中心单级供电单元博士候选人

该项目通过开发下一代单级电源单元（PSUs），旨在满足超大规模人工智能数据中心对提高电力转换效率的需求。该博士候选人将利用宽带隙半导体和先进拓扑结构，与挪威 ELTEK AS 合作，实现学术研究与工业应用的结合。

About the position: Are you motivated to take a step towards a doctorate and open up exciting career opportunities? Do you have a background in electrical power engineering, and are you interested in high-density power electronics and industrial research? As a PhD candidate with us, you will work to achieve your doctorate while collaborating closely with industry leaders, gaining valuable experience that qualifies you for a career in both academia and the high-tech industry. The Department of Electric Energy (IEL) at NTNU is seeking a highly motivated candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL and work directly within an Innovation Project for the Industrial Sector (IPN) funded by the Research Council of Norway (RCN). A core feature of this position is close, hands-on collaboration with ELTEK Norway AS, integrating cutting-edge academic research with industrial product development and commercial deployment for hyper-scale AI data centers. Our working environment is characterized by a friendly, supportive atmosphere, with regular gatherings such as professional meetings within the research group, shared lunches, and Friday coffee sessions to wrap up the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities, open to everyone who wishes to join, creating a welcoming and inclusive community. Your immediate Line Manager will be the Head of Department. About the project: The rapid expansion of artificial intelligence infrastructure and hyper-scale data centers has created unprecedented demands for electrical power conversion efficiency, power density, and dynamic response. Traditional two-stage power delivery architectures face limitations in maximizing efficiency and footprint. Next-generation AI data centers require innovative single-stage power supply units (PSUs) capable of stepping down grid voltages directly to isolated DC outputs with ultra-high efficiency and high power density. As part of this IPN project, the candidate will bridge fundamental research and industrial application in close cooperation with engineering teams at ELTEK Norway AS. The project focuses on developing advanced single-stage conversion topologies utilizing wide-bandgap (WBG) semiconductors, high-frequency magnetics, and robust control strategies to achieve superior efficiency, high power density, and verified reliability. The PhD candidate will investigate one or more of the following key areas: High-density single-stage converter architectures and advanced modulation techniques for AI datacenter power delivery Wide-bandgap (WBG) semiconductor device integration (SiC/GaN), switching behavior, and gate-drive optimization High-frequency magnetic component design, electro-thermal modeling, and reliability-oriented design and testing methodologies Duties of the position: Carry out high-quality industrial and academic research within the framework described above. Academic publications and technical dissemination to both scientific and industrial partners. Regular project alignment meetings, workshops, and collaborative work sessions with ELTEK Norway AS in Drammen/Trondheim. Participate in activities within the Power Electronics and Electrical Machines (PEM) research group. Participate in international activities such as conferences and/or research stays at foreign educational institutions. Complete academic training consisting of coursework corresponding to a minimum of 30 ECTS. Career-enhancing work, which is in addition to the research project and doctoral education, may be offered to a candidate who demonstrates clear motivation and ability for such work, and if the Department determines there is a need. Examples of career-enhancing work include, but are not limited to, contributing to teaching, laboratory and exercise teaching, supervision, and examination work within the employee's areas of competence. Be prepared for changes to your work duties after employment.

Required selection criteria: You must have a Master's degree in power electronics. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's students can apply, but the master's degree must be obtained and documented before starting the position, and no later than autumn 2026. You must have a strong academic background from your previous studies and have an average grade from your Master's degree studies, 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, i.e., by having relevant work experience and/or published scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework of Reference for Languages (CEFR). Applicants who are not native English speakers are encouraged to document their English language proficiency. This can be done through an approved English language test. One of the following test scores could be documented for this purpose: TOEFL internet-based test (iBT) - Score equivalent to the B2 level: 79 – 101 IELTS - Score equivalent to the B2 level: 5.5 - 6.0 Cambridge English - Score equivalent to the B2 level: 160 – 179 Further assessment of both written and oral English language skills and the ability to communicate fluently will be conducted in the continued selection process and during any interviews for all applicants. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria: Experience with laboratory development in power electronics would be desired. Scientific publications will be merited. Experience with programming tools (e.g., Python, Matlab, Simulink, PLECS, C/C++) will be merited. English language skills, both written and spoken, corresponding to the scale C1 in the Common European Framework of Reference for Languages (CEFR). See which scores are equivalent to the C1 level here . Personal characteristics: To complete a doctoral degree (PhD), it is important that you are able to: demonstrate strong motivation, curiosity, and a learning-oriented mindset work independently, take initiative, and maintain good structure and discipline in their work communicate effectively and collaborate well with supervisors and peers show resilience and work constructively when facing challenges or setbacks demonstrate integrity and a strong sense of responsibility in their research conduct 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: A unique joint academic-industrial PhD experience embedded in an RCN IPN framework alongside ELTEK Norway AS. 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 Social activities organized by PhD Students Weekly social gathering on Fridays (Friday coffee) 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) Free Norwegian language training at a basic level (A2) 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, with the possibility of an additional 3 to 12 months of employment related to career-enhancing activities. The option for career-enhancing work may be offered to a candidate who has clear motivation and ability for such work, and if the Department deems it necessary. This will be clarified with the candidate during and after any interview. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Electric Power Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. The position is conditional on external funding. 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 .

关于申请： 附件（包括您的科研工作说明）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撰写。 请注意：申请将仅根据我们在申请截止日之前收到的信息进行评估。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，必须根据要求携带经认证的证书和文凭副本。 申请必须包含： 申请信中，申请人应阐述个人动机，总结科研成果，并说明为何认为自身背景适合该博士项目（400字/1页）。 包含研究问题总体描述、理论视角、项目方法论设计及进展计划的提案大纲（字数不超过1500字/4页，含参考文献）。本提案既非最终版本，亦不对项目具有约束力。 个人简历 CV。 如果您有工作经验的证明，请提交它们。 本科和硕士阶段的成绩单与学位证书。如果您尚未完成硕士论文，必须提供预计提交硕士论文的日期证明，或证明您的硕士论文已提交的证明。 来自挪威以外大学的申请者须提交一份学位证书补充文件或类似材料，其中应详细说明学习项目及成绩评定体系。 硕士论文副本。如果您近期已提交硕士论文，建议附上论文初稿。在入职之前，必须提供已获得硕士学位的证明文件。 如果您有论文或其他相关研究成果，请予以提交。 若您并非英语母语者，请务必提供英语语言能力的证明材料。 三位推荐人的姓名及联系方式。 如果您在海外完成了全部或部分学业，请附上关于您整个教育体系的详细文件，包括您的学士和硕士学位以及其他任何高等教育背景。如果您的院校采用“文凭补充材料”（这是大多数欧洲院校的常见做法），则必须提供此材料。所需文件的说明可在此处查看。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。 将考虑联合研究机会。如果难以明确说明您在联合研究中的贡献，必须附上关于您参与情况的简要说明。 在评估最符合条件的候选人时，我们注重教育背景、经验以及个人适配性等必要条件。申请者的工作动机、抱负以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学术贡献，并致力于《旧金山研究评估宣言》及 CoARA 原则（根据挪威科技大学的社会使命，对研究进行负责任评估，并认可更广泛的学术贡献）。

Required selection criteria: You must have English language skills, both written and spoken, corresponding to the scale B2 in the Common European Framework of Reference for Languages (CEFR). Applicants who are not native English speakers are encouraged to document their English language proficiency. This can be done through an approved English language test. One of the following test scores could be documented for this purpose: TOEFL internet-based test (iBT) - Score equivalent to the B2 level: 79 – 101 IELTS - Score equivalent to the B2 level: 5.5 - 6.0 Cambridge English - Score equivalent to the B2 level: 160 – 179 Further assessment of both written and oral English language skills and the ability to communicate fluently will be conducted in the continued selection process and during any interviews for all applicants. Preferred selection criteria: English language skills, both written and spoken, corresponding to the scale C1 in the Common European Framework of Reference for Languages (CEFR). See which scores are equivalent to the C1 level here .