神经影像学、大语言模型、遗传学与跨物种比较方向博士研究员

PhD Position in Neuroimaging, LLM, Genetics and Cross-species comparison

Vrije Universiteit Amsterdam (VU) · 荷兰 · Amsterdam

原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。

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研究内容
项目旨在理解大脑解剖结构和连接的变异如何促成人类大脑的显著多样性,以及这些特征如何与大脑进化的原则相关联。研究将结合大规模人类神经影像数据集与跨物种比较数据集,调查大脑结构、连接和功能组织的变异,并特别关注大语言模型(LLM)在数据挖掘中的应用。
申请条件
原文未说明具体学位或专业背景要求,但明确招募充满热情的博士候选人,需具备处理复杂神经影像数据、大型数据集及计算方法的兴趣。
待遇
月薪为 EUR 3204 - 4051。
申请方式
原文未说明具体的申请方式、截止日期或提交地址。

由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。

岗位信息

截止
(Europe/Amsterdam) 剩 50 天
学科
神经科学
合同类型
雇佣合同
原文薪资
EUR 3,204–4,051 / 月(税前)
税后月薪(估)
¥19,000–¥24,000;房租后 ¥11,100–¥16,100
估算假设
单身、无子女、雇佣合同的粗略估算,以学校 offer 为准;扣除率 25%;汇率日期 2026-10-01
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内容更新
原帖导师候选(待核验)
Martijn van den Heuvel
来源
AcademicTransfer(荷兰学术招聘) · 最近核对 2026-10-26
详情核验
判定依据(原文摘录)
  • 这是一项博士培养职位
    We are looking for a highly motivated PhD candidate to join the Connectome Lab at Vrije Universiteit Amsterdam
原文

Do you enjoy working with complex neuroimaging data, large datasets and computational methods? Do you want to work at the intersection of genetics, neuroimaging, neuroscience, neurodiversity and cross-species analyses? We are looking for a highly motivated PhD candidate to join the Connectome Lab at Vrije Universiteit Amsterdam

The Connectome Lab at the Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit Amsterdam, is seeking a PhD candidate in Neuroimaging, Genetics and Cross-species comparison.

The project aims to understand how variation in brain anatomy and connectivity contributes to the remarkable diversity of the human brain, and how these features relate to principles of brain evolution. We will combine large-scale human neuroimaging datasets with comparative datasets across species to investigate variation in brain structure, connectivity and functional organization.

A central goal is to understand which aspects of brain organization are highly conserved, which show substantial variation between individuals, and which features may have emerged or expanded during human brain evolution. The project therefore brings together neuroimaging, connectomics, neurodiversity, comparative neuroscience and computational neuroscience .

You will work with large structural MRI, diffusion MRI and resting-state fMRI datasets and develop and apply computational approaches to quantify variation in brain organization across individuals, populations and species. There is particularly attention for the use of LLM in data mining.

You will be part of the computational neuroimaging Lab led by Prof. Martijn van den Heuvel and work in an interdisciplinary environment with researchers from neuroimaging, computational neuroscience, genetics, psychology, psychiatry and artificial intelligence.

Your duties • analyse large-scale structural MRI, diffusion MRI and resting-state fMRI datasets • develop and apply pipelines for cortical reconstruction, tractography, functional connectivity and connectome analysis • investigate individual variation and neurodiversity in brain structure and connectivity • integrate genetics with neuroimaging • perform comparative analyses of human and non-human brain organization in the context of brain evolution • integrate findings across different neuroimaging datasets and imaging modalities • develop and apply computational and statistical approaches for analysing brain networks • contribute to reproducible and open neuroimaging workflows • collaborate with researchers within the Connectome Lab, CNCR and international research networks • present your findings at national and international scientific meetings • write scientific manuscripts • contribute to teaching activities where appropriate

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