博士研究生岗位 - 转化神经科学

该项目利用多模态神经影像与计算神经科学方法，探索精神疾病背后的大脑机制。通过分析来自 MRI、PET、EEG 和 fNIRS 研究的数据集，旨在开发用于早期诊断及个性化治疗的影像生物标志物。申请者应拥有相关领域的硕士学位，并具备 MATLAB 或 Python 编程能力。

您的职位： 成功入选的候选人将有机会将新获得的数据与现有的多模态数据集相结合，并参与复制研究、生物标志物开发、机器学习应用以及个体疾病轨迹分析工作。您的职责将包括： 整合来自 MRI、PET、EEG 和 fNIRS 研究的多模态神经影像数据集 采用图论方法以及结构与功能连接分析技术对大脑网络进行特征描述 对多模态数据集应用多元统计建模与机器学习技术 研究与诊断、预后及治疗监测相关的个性化影像生物标志物 负责协调涉及精神病患者和健康对照组的纵向研究，包括人员招募、时间安排以及神经心理学与心理病理学评估工作 协调并监督 MRI 数据的采集工作；维护标准化的采集方案与数据质量标准 按照既定标准（如 BIDS）进行影像数据的管理与整理

Your Profile: Excellent university degree (Master) in neuroscience, biomedical engineering, medical physics, psychology, cognitive science, computer science, physics, data science, or a related discipline A strong interest in translational psychiatry, neuroimaging and computational neuroscience, and a motivation to work in an interdisciplinary research environment Programming experience in MATLAB and/or Python, alongside strong analytical and problem-solving skills Experience with structural and/or functional MRI; familiarity with packages such as SPM, FSL, FreeSurfer, AFNI, MRtrix, CONN, or similar tools is desirable Knowledge of neuroimaging preprocessing, quality control, graph theory, connectomics, multivariate statistics, or machine learning is an advantage Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR ), ideally supported by a certificate confirming the language level German language skills at B1 level are desirable

Our Benefits for You: Team & Environment: You will work in a motivated and interdisciplinary team including psychiatrists, neuroscientists, physicists, engineers, and data scientists Research & Infrastructure: You will have access to advanced neuroimaging infrastructure and training in structural and functional MRI, multimodal imaging, connectomics, and computational neuroscience Networking & Exchange: You will participate in (international) conferences and project meetings, actively building your scientific network through collaborations involving Forschungszentrum Jülich, RWTH Aachen University, Ulm University, Bezirkskrankenhaus Günzburg and LVR-Klinik Cologne Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments Annual Leave: You get 30 days of annual leave Fixed-term: The position is limited to 3 years Fair remuneration: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 (65 %) of the TVöD-Bund (Collective Agreement for the Public Service). In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement amounting to 75% of a monthly salary, as well as capital-forming benefits. All information on the TVöD-Bund collective agreement can be found on the BMI website . The monthly salaries in euros can be found on page 74 of the PDF download Support for international employees: Our International Advisory Service makes it easier for international employees to get started In addition to exciting tasks and a collegial working environment, we offer you much more: ［会员资料链接］ We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: ［会员资料链接］ and on specific support options for women: ［会员资料链接］ . International applicants can find more information here: ［会员资料链接］ Place of Employment: Jülich Start Date: To the next possible date Salary: Pay group 13 (65%) TVöD-Bund Application Deadline: 2026-11-15 Index number: 2026D-0814