卡夫利研究所衰老神经科学组的博士项目

该博士项目旨在研究个体随着年龄增长在社交与情感处理过程中所涉及的结构与功能神经网络，重点探讨晚年抑郁现象。 利用 7T MRI 扫描仪可开展深入的大脑分析。申请者应具备心理学、神经科学或相关领域的背景知识。

About the position and project: This three-year PhD position will be part of the Aging Neuroscience Group , which explores the structural and functional neural networks underlying social and emotional processing in aging. We are seeking a motivated and enthusiastic candidate to join the lab early 2027 , to help better understand the emotional and brain changes that occur in aging. Dr ［会员专属信息］’s group aims to explore how individual differences in emotion perception can help us to better understand emotional aging brain. We are running a multi-modal study in which we examine social-emotional processes among individuals with late-life depression. We will examine the whole brain as well as regions that are critical for stress and emotional response, such as the locus coeruleus. The use of 7T MRI scanner will allow us to better characterize these deep structures and identify how their structural and functional integrity will change as a function of disease. For more information on the projects and papers we have published, please visit this website: Brain Health Platform | ［会员专属信息］ OR ［会员专属信息］ - NTNU . As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in research. Your immediate leader will be group leader ［会员专属信息］. Duties of the position: Carry out research of excellent quality, contributing to the research project outlined above design of studies data collection (fMRI and behavioral testing) data analyses Complete the doctoral education until obtaining a doctorate Academic publications and popular science dissemination Participate in the research group's activities Participate in international activities such as conferences and/or research stays at foreign educational institutions Be prepared for changes to your work duties after employment.

Required selection criteria: Proficiency in analyses of imaging data such as structural MRI and functional MRI Experience in programing (e.g. Matlab or Python) Proficiency in literature review and advanced statistical analyses Excellent written communication skills in English A statement of research interest that aligns with the lab’s goal You must have a relevant Master's degree in psychology, neuroscience, biomedical sciences or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis. Master students can apply, but the master's degree must be obtained and documented before starting the position. You must meet the requirements for admission to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a strong and relevant 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 academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria: Experience in working ultra-high field imaging data Experience in data collection and management of behavioral and imaging data Experience of working with older adults and/or clinical populations Experience in machine learning and advanced analytical approaches Personal characteristics: To complete a doctoral degree (PhD), it is important that you are able to: Show curiosity and a strong motivation for the subject Work independently in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Analyze 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.

我们提供： 开放且包容的工作环境，拥有敬业的同事团队 挪威科技大学KISN的研究环境为学生提供了跨学科学习的绝佳机会，使其能够接触记忆、空间及海马区领域全球领先的学术团队，该团队专注于动物与人类研究。此职位与圣奥拉夫医院老年精神病学系以及国际合作者紧密合作。 作为学生及员工，您将能够利用 KISN 与 NTNU 所拥有的尖端科学资源与设施。此外，我们为博士学生提供学习图像分析相关科学技能的机会，并安排参加成像、神经科学与衰老领域的相关研讨会与会议。我们还鼓励博士学生通过提升人际交往技能来提升自身能力，这些技能对职业生涯的后续发展至关重要，包括有效的协作与沟通、公开演讲技巧、求职面试准备以及时间管理能力。 一项充满激情的工作，在社会中具有重要的使命 在强大且国际化的专业环境中开展研究任务 博士期间的职业指导与后续支持 可用于实施项目的营运资金 作为 NTNU 的新员工，导师计划 作为挪威公共服务养老金基金（SPK）成员所享有的优惠待遇 作为挪威科技大学博士候选人，您将享有员工福利。 薪资与条件： 在博士候选人的职位上，代码为 1017，根据您的资质与级别不同，您的税前薪资通常将为每年 580,000 挪威克朗。 在工资中将从国家养老金基金中扣除 2% 的法定缴纳份额。 就业期为3年。 作为博士候选人进行就业，必须在入职合同开始日期后的三个月内被录取至神经科学博士项目，并在整个任职期间参与规范的博士培养计划。 该职位取决于外部资金的支持。 作为挪威科技大学的一名员工，您必须及时了解学术与组织方面的变化，并适应这些变化。 为满足必要的职业与社会交流需求，您必须每天亲自到访该机构并保持可联系状态。 该任命依据《国家雇员法》及出口管制法规（规范知识、技术和服务出口的法律法规）进行。经对申请及附件进行评估后，若被认定与上述法规中的标准不符，候选人将无法被录用。

关于申请事宜： 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/斯堪的纳维亚语或英语撰写。 请注意：申请将仅依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标准。申请及所有附件必须通过 Jobbnorge.no 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： 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。如果您近期已提交或计划尽快提交硕士论文，可附上论文初稿。必须在入职前提供已获得硕士学位的证明文件。 您选择的两篇论文摘要（每篇不超过1页） 简短动机信（400词/1页） 如有，请附已发表论文、正在撰写的论文或其他相关研究成果 如有，请附相关证书 熟悉您科学与传播背景的两位推荐人的姓名及联系方式 如您的全部或部分教育经历在国外完成，除其他高等教育资料外，还须附上证明全部学士和硕士教育经历的学习范围与质量的材料。如果您的院校使用“文凭补充说明”（大多数欧洲院校的通常做法），必须一并提交。所需材料的说明也可在此处查看。如果您已取得挪威高等教育与技能局（HK-dir）出具的证明，也请附上。共同完成的研究成果也会纳入考虑。如难以判断您对共同研究的贡献，须另附简要说明，介绍您的参与情况。 评估最符合条件的候选人时，我们重点考察教育背景、经验和个人适合程度等必要条件。申请动机、抱负和研究潜力也会纳入评估。挪威科技大学认可广泛的学术贡献，并承诺遵循《旧金山研究评估宣言》及 CoARA（依据挪威科技大学的社会使命，开展负责任的研究评估，并认可更广泛的学术贡献）。