复旦大学-国王学院群体神经科学中心
主任: Gunter Schumann教授
现招聘：计算机科学、心理学、遗传学、基因组学、流行病学及相关领域博士后
发布来源：中国科学人才网更新日期：2022年1月21日总阅读量： 次
PONS 是ISTBI新成立的研究中心，致力于成为群体神经科学这一新兴学科的全球领导者。群体神经科学通过识别影响人脑结构和功能的环境和基因组因素，在群体层面开展对行为和精神疾病的复杂度和异质性的研究。PONS的合作伙伴Charite (https://charite.de)附属于柏林洪堡大学和柏林自由大学，是欧洲最大的大学医院和研究机构之一，是世界排名第六以及欧洲第一的医院（Newsweek 2021）。PONS 将神经成像、认知神经科学、（表观）基因组学和流行病学研究与用于环境评估的新工具相结合，如使用智能手机应用的生态瞬时评估、社交媒体分析和基于卫星的遥感数据采集。中心旨在识别流行病、污染、气候变化、迁移或城市化等不同环境因素下精神疾病风险和复原力的标志物和大脑机制。这些知识将用于开发针对脑的因果机制的神经行为干预措施，以在公共卫生尺度上实现对疾病的预防和早期干预。
复旦大学类脑人工智能科学与技术研究院ISTBI是国内高校最早成立的脑科学与类脑前沿交叉研究机构之一。研究院下设认知神经科学中心、计算系统生物学中心、人工智能算法研究中心、神经与智能工程中心、类脑智能人机交互研究中心、类脑智能转化与合作中心等多个中心。研究院拥有数个技术平台，包括脑影像中心的7T、3T、和3T-connectome人脑核磁共振仪以及11.7T动物核磁共振仪、高性能计算平台、认知神经科学技术平台、和类脑智能工程平台。
一、申请研究领域介绍
申请研究领域介绍：(i) 通过将神经功能和结构成像以及（表观）基因组和环境特征与不同症状组的横向与纵向数据相联系，确定可量化的神经行为度量。开展本项工作需要拥有对行为与神经之间关联的深刻理解，以及通过高等统计学方法分析神经影像数据的丰富经验。(ii) 确定精神障碍的风险坐标和神经行为轨迹，以及全球性的环境挑战对它们的影响。该研究将涉及对欧洲、印度、中国和美国的大规模行为神经影像数据集的比较分析。该项目采用先进的统计方法和卫星遥感数据等创新性研究手段，旨在调查与城市化、气候变化、污染或流行病相关的环境挑战如何影响大脑结构/功能和行为。在最先进的分层和预测技术（包括先进的表征方法）的开发、改编和实施方面发挥主导作用
二、责任范围
• 在研发、适用、和实现最先进的分层和预测技术（包括先进的表征方法）方面发挥主导作用。
• 将这些方法应用于神经成像、行为、环境和基因组学的大规模高维数据集。
• 在发表和传播数据发挥主导作用。
• 出席学术会议并为项目及其目标的知名度做出贡献。
• 作为团队一员为实现项目的目标尽职尽责。
• 协助指导博士和硕士研究生，以及小组的日常运作。
三、待遇
• 起始聘用期为2年，基于在实验室的学术表现和项目进展可续聘最多至4年。
• 基于经验年薪为30-50万元（~£34-55k/year) 不等。
• 对拥有优秀想法和能力者，提供最多24万元的额外经费支持，用于开展独立研究项目。
• 有机会申请上海市政府提供的最多10万元/年的额外工资补助。
• 有机会到牛津大学、剑桥大学、悉尼大学、哈佛大学的科研合作机构访问。
• 有机会申请教职，获得50-100万的启动经费。
• 依据复旦大学相关政策，协助博士后的子女申请复旦大学附属幼儿园和小学。
四、要求
• 拥有相关领域博士学位（计算机科学，心理学，基因组学，传染病学），已经提交毕业论文，或即将完成毕业论文。
• 对一个或多个相关研究领域拥有较深刻的理解，可以应用于大规模多模态数据组的设计和分析，包括表型组分层和预测。
• 如有行为学、传染病学、和/或生物学数据相关经验者更佳。
• 对机器学习和/或深度学习方法的概念有透彻理解或经验者更佳。
• 具有在高影响学术期刊发表论文的能力。
• 善于交流，乐意向同事传授数学和统计技能或提供帮助。
• 优秀的组织能力。
• 对工作专业和热情
• 会德语者更佳，但非必须
起始时间: 2021年7月1日
聘用期限： 24-48个月
工作时长（小时/周）： 40 小时/周
五、申请方式
申请方式：
请申请人将材料发送至：gongyanting9458@163.com，邮件标题需注明职位和姓名。申请材料包括：
（1）封面信，包括研究计划
（2）简历
（3）证书等各类证明
六、联系方式
如有任何疑问，欢迎联系Gunter Schumann教授，电子邮件:
gunter.schumann1961@gmail.com, tianyejia@fudan.edu.cn & gongyanting9458@163.com
The Centre for Population Neuroscience and Precision Medicine (PONS)
at the Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai and Charité-Universitätsmedizin Berlin, Germany
Director: Professor Gunter Schumann
is seeking
Postdoctoral Research Fellows in Computer Sciences, Psychology, Genomics, Epidemiology and related sciences.
PONS is a newly established centre at ISTBI that thrives to be a worldwide leader in population neuroscience, an emerging discipline investigating the complexity and heterogeneity of behaviour and mental illness on a population level by identifying environmental and genomic factors that shape the structure and function of the human brain. PONS works in close partnership with the Charite (https://charite.de), one of Europe's largest university hospitals and research institutions, affiliated with Humboldt University and Free University Berlin, which is ranked sixth best hospital in the world and best in Europe (Newsweek 2021). PONS integrates neuroimaging, cognitive neuroscience, (epi)genomics and epidemiological research with novel tools for environmental assessments, such as ecological momentary assessments using smart phone applications, social media analyses, and satellite-based remote sensing acquisitions. It aims at the identification of markers and brain mechanisms of risk and resilience for mental illness in different environmental contexts, such as pandemics, pollution, climate change, migration or urbanicity. This knowledge will be applied to develop neurobehavioural interventions targeted at causal brain mechanisms for prevention and early intervention of disease on a public health-relevant scale.
The Institute of Science and Technology for Brain-inspired Intelligence ISTBI is the first scientific research and innovation institution that integrates brain science, artificial intelligence, and brain-like research in China. In addition to the PONS, ISTBI hosts the Centers for Cognitive Neuroscience, Computational Systems Biology, Artificial Intelligence Algorithms, Neural and Intelligent Engineering, Brain-like Intelligent Transformation and Cooperation, and Human-Computer Interaction. Research of the Centres is supported by several technology platforms, including a Brain Imaging Center with one 7T, one 3T and one 3T-connectome human MRI scanner as well as a 11.7T animal scanner, and a Brain Bank. There are a high-performance computing equipment platform, a cognitive neuroscience technology platform, and neural and intelligent engineering platform.
Description of field of application: (i) to identify quantifiable neurobehavioural measures of behaviour by relating functional and structural neuroimaging measures as well as (epi-) genomic and environmental characterisations to symptom groups in both cross-sectional and longitudinal data. The work will involve an exceptional understanding of the neural correlates of behaviour, and extensive experience in the analysis of neuroimaging data using advanced statistics. (ii) to identify risk constellations and neurobehavioral trajectories for mental disorders and their moderation by global environmental challenges. The research will involve comparative analyses of large scale behavioural neuroimaging datasets in Europe, India, China and USA. Applying advanced statistical methods and innovative methodology, such as remote sensing satellite data, the project seeks to investigate how environmental challenges associated with urbanisation, climate change, pollution or pandemics shape brain structure/function and behaviour.
Areas of responsibility:
• Take a leading role in development, adaptation and implementation of state of the art stratification and prediction techniques, including advanced representational approaches.
• Apply these approaches to large scale, high dimensional datasets involving neuroimaging, behavioural, environmental and –omics.
• Take a leading role in the publication and dissemination of data.
• Present at academic meetings and contribute to the visibility of the project and its aims.
• Work as a conscientious and committed member of the team in order to achieve the aims of the project.
• Assist with the supervision of PhD and MSc candidates and with the general running of the group.
Benefits:
•The initial appointment period is for 2 years with a potential extension up to 4 years based on performance and the progress of the projects within the laboratory.
•Salary is ¥300-500k/year (~£34-55k/year) based on experience.
•Additional research funding up to ¥240k will be provided to support researchers with exceptional ideas and the capability to run independent projects.
•Opportunities to top-up salaries up to ¥100k/year with grants from Shanghai Government.
•Opportunities to visit collaborating labs at the University of Oxford, University of Cambridge, University of Sydney or Harvard University.
•Opportunities to transfer to faculty position with a start-up fund of ¥500k~1million.
•In accordance with the policies of Fudan University, assistance will be provided to candidates with children to apply for admission into kindergarten or primary schools affiliated with Fudan University.
Your Profile:
PhD in a relevant discipline (computer science, psychology, genomics, epidemiology) awarded, or thesis submitted, or thesis near completion.
• A very good understanding of one or several of the disciplines of interest, which should be applicable to the design as well as the analysis of large-scale multimodal datasets, including for phenotype stratification and prediction.
• Experience of working with behavioural, epidemiologic and/or biological datasets is desirable.
• Thorough conceptual understanding and experience in machine learning or/and deep learning methodology is desirable.
• Evidence of the ability to publish in high-impact scientific journals.
• Strong interpersonal skills, including willingness to introduce and help other colleagues with mathematics/statistics skills.
• Good organisational skills.
• Professional and enthusiastic attitude.
• German language skills desirable, but not essential.
Starting Date:
01.07.2021
Length of employment:
24-48 months
Working time (hrs./week):
40 hrs/week
Application:
Applicants should send the application materials to gongyanting9458@163.com and the subject of the email should indicate the position + name. Application information includes:
（1）Cover letter, including research plan
（2）CV
（3）Certificates, Attestations
Contact information:
For questions, please do not hesitate to contact Professor Gunter Schumann, email: gunter.schumann1961@gmail.com, tianyejia@fudan.edu.cn & gongyanting9458@163.com
