热力学协同设计新兴冷却技术的物理信息AI博士研究员
PhD Studentship: Physics-informed AI for the Thermodynamic Co-design of Emerging Cooling Technologies
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
- 本项目重点开发用于系统设计和优化替代冷却机制及其相应制冷循环的物理信息人工智能框架，整合热力学建模、机器学习和多目标优化，并通过实验验证筛选出的组合。
- 申请条件
- 申请者需持有机械工程、化学工程、材料科学、物理学、能源或其他相关学科的优秀学士学位（一等或二等上荣誉学位）或硕士学位，对热能工程有浓厚兴趣。
- 待遇
- 由伯明翰大学资助，主要面向英国/本土学生，优秀国际生也有获得资助的可能。
- 申请方式
- 必须通过大学在线申请系统提交申请，截止日期为2027年1月31日（或直到招到合适人选为止），非正式咨询可联系 Dr. Renaldi Renaldi。
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/London） 剩 90 天
- 学科
- 能源
- 合同类型
- 雇佣合同
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Renaldi Renaldi
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-20
- 详情核验
判定依据（原文摘录）
- is_phd 为 true
This PhD project will focus on developing a physics-informed artificial intelligence framework
- bachelor_ok 为 true
A good bachelor’s degree (first or upper second-class honours degree) or an MSc degree
- english_ok 为 true
Applications must be made through the university’s on-line application system
原文
Cooling demand is rapidly increasing due to economic development and climate change-induced temperature increase. Vapour compression cycle has been the main technology to satisfy the global cooling demand, from household refrigerators and room air conditioners to industrial size chillers. Their environmental impacts from energy input and refrigerants leakage have pushed the development of alternative cooling technologies, such as sorption-based and solid-state caloric cooling. However, the deployment of these technologies has been hindered by limited cooling capacity, thermodynamic irreversibilities, inefficient heat transfer, and impractical driving forces.
This PhD project will focus on developing a physics-informed artificial intelligence framework for systematic design and optimisation of alternative cooling mechanisms and their corresponding refrigeration cycles. The project will integrate thermodynamic modelling, machine learning, and multi-objective optimisation to identify high potential combinations of cooling mechanisms, refrigeration cycles, and operating conditions. Experimental investigations will validate selected combinations and refined the models. The successful candidate will have the opportunity to allocate and balance the experimental and computational work depending on their background and interests.
At Birmingham, the candidate will join the School of Chemical Engineering which hosts several world-leading cooling-related research centres, including the Centre for Sustainable Cooling and Birmingham Centre for Energy Storage. The candidate will develop a wide range of skills in thermal energy experiments, simulation, optimisation, data analysis, and project management which are applicable to a wide range of future career options.
Applications must be made through the university’s on-line application system via the above ' Apply ' button.
Applications will be accepted until 31 January 2027 but the position will be filled as soon as an appropriate candidate is found. For informal enquiries about the project, please contact Dr. Renaldi Renaldi at r.renaldi@bham.ac.uk .
Entry requirements
A good bachelor’s degree (first or upper second-class honours degree) or an MSc degree in Mechanical Engineering, Chemical Engineering, Material Science, Physics, Energy or other relevant disciplines. A strong interest in thermal energy engineering and prior experience in combining computational and experimental work would be beneficial. Candidates should be able to work both independently and collaboratively as part of a research team.
Funding notes:
This project is funded by the University of Birmingham and is open to UK/home students. Funding opportunity for exceptional international student is a possibility. For more information on postgraduate research at the University of Birmingham please visit: https://www.birmingham.ac.uk/study/postgraduate/research .
https://admissions.bham.ac.uk/course-finder-landing-page/?code=EPS020