发布医疗人工智能研究员招聘信息
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OSCAR在科技成果转化方面成绩斐然，已成功孵化多家衍生/初创公司。任职者的研究成果将有机会通过技术许可或创建衍生公司等方式实现商业化。OSCAR建立了完善的激励机制，通过专利收益分配、股权激励等形式回馈参与研究人员。
该职位的研究工作将聚焦于大规模临床数据的机器学习分析，涵盖时间序列生理数据、实验室检测数据、药物干预及临床诊断等多个维度，欢迎拥有人工智能、机器学习、大语言模型、基础模型、信号处理、计算统计学或生物医学工程等研究背景的申请者。
任职者将与牛津大学CHI实验室保持密切合作，并有机会赴牛津进行学术交流访问。该职位作为连接中国与世界顶尖学府的学术平台，可为优秀任职者提供晋升至牛津大学CHI实验室博士后岗位的独有学术发展机会。
OSCAR has a strong track record in commercialising its research outcomes, including the creation of spin-out/start-up companies. Research outcomes from the programmes on which the post-holder would work would be considered for licensing and spin-out activity as appropriate. OSCAR recognises researchers involved in such work via royalty streams, potential equity in resulting companies, etc.
The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications/interventions, and clinical diagnoses. The post would be suitable for applicants with general interests in AI, machine learning, large language models, foundation models, signal processing, computational statistics, and biomedical engineering.
The post will involve liaising closely with the Oxford-based lab, including exchange visits to Oxford. In particular, this post represents a uniquely promising career pathway, offering the post-holder the opportunity to advance to a postdoctoral researcher position at the CHI Lab, University of Oxford, and to bridge research experience between China and one of the world’s leading universities.
3. 定期在国际高水平期刊和书籍章节中撰写国际水平的研究文章。在国内和国际会议上发表论文，并主持研讨会以传播研究成果。
4. 制定明确的任务目标，组织工作并与团队成员合作研究，对擅长的方法对团队的其他成员进行指导。
5. 与合作机构开展合作项目。
6. 在实验室环境中使用实验设备，尤其是用于机器学习的计算相关设备。
7. 对项目进行文献检索，并向研究团队和其他感兴趣的各方展示研究结果。
8. 关注对机器学习领域的发展及其在实际中的应用。
3. Regularly write research articles at an international level for peer-reviewed journals, book chapters, and reviews. Present papers at national and international conferences, and lead seminars to disseminate research findings.
4. Agree clear task objectives, organise, and delegate work to other members of the team and coach other members of the group on specialist methodologies or procedures.
5. Carry out collaborative projects with colleagues in partner institutions, and research groups.
6. Use scientific equipment in a laboratory environment, especially pertaining to computational systems typically used for machine learning.
7. Undertake literature searches for the project where appropriate, and interpret and present the findings to the research team and other interested parties.
8. Keep informed of developments in the field of machine learning and its application to the problem domain.
3. 具有充分的专业知识，能使用机器学习工具分析医疗健康数据，开展研究和方法论工作；
4. 具有可靠的数学能力，掌握Matlab或Python编程数据分析方法。
3. Possess specialist knowledge (sufficient to develop research projects and methodologies) in the fields of machine learning tools for analysing healthcare data;
4. Proven competence in mathematics and programming data analysis methods in Matlab or Python.
2. 邮件请附上一份中英文双语求职信和简历。
