基于数据和人工智能的住房改善儿童健康与结局研究博士研究员
PhD in Data- and AI-based solutions to improve child health and outcomes through housing
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。
AI 中文速览
- 研究内容
- 开发创新的数据驱动解决方案,预测并优化住房改善对儿童健康和福祉的影响,利用行为建模、大数据和人工智能塑造更健康、更公平的住宅。
- 申请条件
- 精准科学、工程学或计量经济学硕士毕业生,对使用数据和人工智能改善人们的生活充满热情,能够加入跨学科团队开展研究。
- 待遇
- 提供为期四年的博士项目,薪资为每月 EUR 3204 至 4051,提供课程、研讨会和国际会议等专业发展支持。
- 申请方式
- 请通过埃因霍温理工大学(TU/e)官方渠道提交申请,截止日期为2026年11月15日。
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 29 天
- 学科
- 计算机科学
- 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
- 原帖发布
- 本站收录
- 内容更新
- 来源
- AcademicTransfer(荷兰学术招聘) · 最近核对 2026-10-17
- 详情核验
判定依据(原文摘录)
- 这是一个博士生培养机会
Eindhoven University of Technology is looking for a PhD candidate to develop innovative data-driven solutions that predict and optimise the impact of housing improvements on children's health and wellbeing.
- 工作语言为英语且招收相关背景毕业生
Are you a graduate in exact sciences, engineering or econometrics, passionate about using data and AI to improve people's lives?
原文
Are you a graduate in exact sciences, engineering or econometrics, passionate about using data and AI to improve people's lives?Eindhoven University of Technology is looking for a PhD candidate to develop innovative data-driven solutions that predict and optimise the impact of housing improvements on children's health and wellbeing.
Information Millions of children, even in high-income countries, are born and grow up in homes with poor insulation, inadequate heating, or insufficient ventilation, affecting their health and development. While housing upgrades are often motivated by sustainability and affordability goals, we focus on their potential benefits for future generations. How does inadequate housing during pregnancy and early childhood affect children's health and development? Which housing upgrades offer the greatest benefits? And how can behavioural modelling, big data and AI help shape healthier, more equitable homes? These are the questions your PhD research will tackle.
You will join an interdisciplinary team of researchers and practitioners, working at the intersection of housing, public health, climate adaptation, and social equity. Combining medical and behavioural insights, large-scale data analysis, computer vision and advanced statistical methods, you will be tranforming complex unstructured housing and health data into predictive models. The results will feed into a digital tool to predict and optimise the impact of housing upgrades across different scenarios, helping housing providers and municipalities create healthier, more resilient homes for families.
This research is part of the NWO-funded research programme Homes for Upcoming Generations, which brings together social scientists, medical doctors, building engineers and industry partners.
As a PhD candidate, you will be part of the TU/e's internationally renowned Urban Systems and Real Estate group (Department of the Built Environment), conducting cutting-edge research at the intersection of urban systems, real estate, data science, and smart technologies. The four-year program combines advanced training with impactful research, offering strong support for professional development through courses, seminars, and international conferences. You will collaborate closely with scientific partners at Erasmus Medical Centre, Erasmus University Rotterdam, VU University Amsterdam, as well as societal partners including housing providers, municipalities and engineering bureaus.