流行病学／数字健康博士岗位：脓毒症后数字化随访（UMZH Learn4Sepsis），80% 工作比例

该博士项目旨在为脓毒症患者建立数字化随访群体，重点在于共同构建最小数据集以及涵盖多种健康领域的患者报告结果。项目涉及设计自适应调查及利用机器学习进行数据分析。申请者需具备相关领域的量化硕士学位资格。

Your responsibilities: This PhD project is embedded in Work Package 5 of the UMZH Learn4Sepsis project and aims to design and initi-ate a digital follow-up cohort of persons after sepsis. For this, we will co-create a set of minimal data items and patient-reported outcomes to describe post-sepsis on different health- and daily life domains. By refining existing tools, we will develop and release an adaptive survey (including voice input options) to pilot a scalable, longitu-dinal study into life after sepsis. The tasks of this PhD position are: Co-designing a minimal dataset and patient-reported outcomes for post-Sepsis Co-developing conceptual and technical elements for setting up the adaptive survey (Key elements: knowledge trees/ontologies, database systems, natural language processing) Gathering and analyzing contextual and patient-reported outcome data (e.g. using - Developing and validating prediction algorithms using classical statistics and machine learning tools (optional) Collection and analysis of wearable sensor data Location: Epidemiology, Biostatistics & Prevention Institute: Hirschengraben 84, 8001 Zürich, Switzerland Working at UZH: The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! More → ［会员资料链接］ The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer! More

任职要求： 我们正在寻找具有高度积极性的申请者，其需具备以下条件： 统计学、机器学习、生物医学科学、生物工程或相关领域的全日制硕士学位（MSc或同等学历） 对以人为中心的健康研究及数字健康技术有浓厚兴趣 与利益相关方（患者和临床医生）互动的意愿 在信息与数据管理方面具备一定经验（熟悉数据库系统及知识图谱者将更具优势） 具备出色的编程或数据科学技能（如 R、Python），适用于时间序列分析及用于预测的机器学习方法 在自然语言处理领域的相关经验或愿意学习相关技能 出色的书面和口语英语能力 具备良好的英语沟通能力（德语亦为优势），并具备跨领域合作能力 申请者必须满足瑞士境内博士研究生岗位的资格要求。 “博士研究生岗位”中要求具备以下条件：统计学、机器学习、生物医学科学、生物工程或相关领域的全日制硕士学位（MSc或同等学历）；对以人为中心的健康研究及数字健康技术有浓厚兴趣；愿意与利益相关方（患者、临床医生）进行互动；在信息与数据管理方面有一定经验（使用数据库系统、知识图谱的经验为优势）；具备优秀的编程或数据科学技能（如R、Python），可用于时间序列分析及预测性机器学习方法；在自然语言处理方面有相关经验或愿意学习该技能；精通书面和口语英语；具备良好的英语沟通能力（德语为优势语言）；并具备跨学科合作能力。申请者必须符合瑞士境内博士研究生岗位的资格要求。

What we offer: Our employees benefit from a wide range of attractive offers. Find out more: ［会员资料链接］. Work-Life Balance Flexible working models (such as part-time positions, mobile working, job-sharing) Childcare at the kihz foundation of UZH and ETH More Learning and Development Wide range of continuing education courses of UZH and the Canton of Zurich Language Center run jointly with ETH Zurich Food Food and drinks at reduced prices in the UZH cafeterias Lunch-Check-card with UZH contribution Healthcare Special conditions on the Academic Sports Association ASVZ Free seasonal flu vaccinations Rest and relaxation at the quiet room in the university tower Discounts Private traffic: Carsharing, rent a vehicle, parking space Digitalization: Hardware, software, mobile phone subscriptions Conditions of Employment Policies of the UZH Most UZH staff are employed according to public law International Services Support for people from outside Switzerland Campuses Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

您的申请信息： 博士研究生将加入苏黎世生命科学研究生院的流行病学与生物统计学博士项目 流行病学与生物统计学博士学位项目 请向苏黎世生命科学研究生院申请，并选择流行病学与生物统计学作为您的主专业方向。您的申请将用于筛选流行病学与生物统计学博士项目中的所有空缺职位。 苏黎世生命科学研究生院