演变中的网络物理社会系统（eCPSS）：将研究演示平台整合至面向客户的 MVP 中——研究型硕士项目

该MRes项目致力于将现有的研究演示系统整合到易于使用的决策支持工具中，并通过人工智能提升制造业的运营适应性。研究将评估界面设计对可用性和决策可追溯性的影响，需要具备软件工程、API集成及以人为中心的设计方面的技能。

Diversity and Inclusion at Cranfield: At Cranfield, we value our diverse staff and student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum. Cranfield Doctoral Network: Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This Network brings together both research students and staff, providing a platform for our researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. Doctoral Researchers’ Core Development (DRCD) Programme: An important part of the research journey is developing key skills that will benefit a research students research and professional development. As a research student at Cranfield, you will be expected to attend the DRCD programme which comprises of four 1 week units which cover the key stages of your research journey. Workshops are held face to face, providing the opportunity for you to network and collaborate with your peers during these valuable development sessions. For further details visit Cranfield's Doctoral Network .

入学要求： 申请者应拥有英国第一或第二级荣誉学位，专业为计算机科学或数据科学，或具有同等水平的专业资格。来自相关计算学科且具备相应实践经验的申请者也可被考虑。强大的编程技能至关重要，包括精通 Python 或类似语言的能力，以及能够构建可运行软件的证明。申请者应能够处理 API、结构化数据、数据库和版本控制，并展现出开发面向用户的应用程序的能力。具备 JavaScript/TypeScript 及 Web 框架、自动化测试、AI/LLM 集成、知识图谱或本体工具以及部署方面的经验更为理想。 申请者应对易用性高且负责任的人工智能感兴趣，能够清晰表达观点，并具备独立与协作两种工作模式。无需具备之前的制造业或医疗保健相关经验。建议申请者描述相关的项目实践，并在可提供的情况下提供作品集或代码库链接。

资助情况： 该项目由申请者自筹资金。 该申请草案保留了提供模板中规定的自筹资金状态。此机会面向英国及国际申请者。申请人或其资助方必须提供学费、任何适用的研究支持费用及生活费用的资金支持。草案中未提供任何津贴或费用减免。在发布前请确认资金安排；若获得学生资助，请将此文字替换为已确认的金额、覆盖范围、期限及资格条件。

申请方式： 如需了解更多信息，请联系： 如果您符合该奖学金的申请条件，请填写在线申请表格。 该职位可在截止日期前填补，因此强烈建议尽早申请。 请注意，除非所有相关文件已上传，否则您的申请将不会被审议。如需了解更多信息，请访问“申请研究学位”页面。