项目介绍
项目介绍
卡罗林斯卡学院(Karolinska Institutet)肿瘤-病理学系「计算乳腺影像组」(Computational Breast Imaging Group)招收 1 名博士研究生,方向为人工智能与临床数据科学在乳腺癌中的应用。岗位为博士研究生聘用,最长 4 年全日制(也可不低于 50% 非全日制),入职时间面议,申请截止 2026 年 10 月 20 日,参考号 STÖD 2-3996/2026,工作地点为瑞典索尔纳(Solna)。
课题要构建基于智能体的数据基础设施与方法,把纵向、多模态临床数据转化为结构化的「临床决策状态表示」与基准数据集,用于以正确性为导向评估 AI 支持下的多学科决策。乳腺癌诊疗涉及放射、病理、外科、肿瘤与多学科会诊的复杂纵向决策,而现有 AI 系统多为单任务设计,难以刻画真实决策的时序性与多学科结构。项目使用超过 3 万例的回顾性乳腺癌队列,并与国家乳腺癌质量登记库(National Quality Register for Breast Cancer)关联。主导师为课题组首席 AI 科学家 Apostolia Tsirikoglou 博士,副导师为课题组长 Fredrik Strand 副教授。
Skills and personal qualities
- Necessary: a master’s degree (or equivalent) in image analysis, machine learning, computer science, biomedical engineering, data science or a related field; solid programming skills, in particular Python; experience with machine learning and/or image analysis; experience with data engineering, data pipelines or heterogeneous data sources; strong analytical ability and interest in interdisciplinary research at the intersection of AI and clinical medicine; ability to work both independently and collaboratively; excellent written and spoken English.
- Desirable: experience with health data standards (e.g. FHIR, OMOP, DICOM) or clinical data; experience with multimodal data integration or temporal/longitudinal data; familiarity with containerization and reproducible research workflows (e.g. Docker); interest in trustworthy AI, evaluation methodology and clinical translation.
Application
Submit your application and supporting documents through the Varbi recruitment system, preferably written in English (Swedish is also accepted). The application must contain a personal letter and a curriculum vitae, degree projects and previous publications if any, any other documentation showing the desirable skills and personal qualities, and documents certifying general and specific eligibility for doctoral education.
关于我们
卡罗林斯卡学院是世界领先的医科大学之一,承担瑞典规模最大的医学教育,科研覆盖医学全领域。计算乳腺影像组在乳腺癌影像 AI 与精准医疗方向具国际影响力,与 KTH、隆德大学、加州大学伯克利分校、UCSF、巴塞罗那大学等有广泛合作,并配备高性能计算、符合 GDPR 的安全存储与 VAI.B 平台。岗位咨询请联系 Apostolia Tsirikoglou(apostolia.tsirikoglou@ki.se)或 Fredrik Strand(fredrik.strand@ki.se)。
项目网址:见本页「项目网址」字段直达卡罗林斯卡学院招聘系统申请页。
联系方式
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