机械灵敏纳米通道博士职位
PhD Studentship - Mechanosensitive Nanochannels
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
- 开发受生物力感受器启发的机械灵敏人工纳米通道，模拟人皮肤对触摸、力、压力和各种物理应力的细致反应。
- 申请条件
- 上二等级（2:1）荣誉学位或国际同等学历，或上二等级（2:1）荣誉学位和相关领域的硕士学位（或国际同等学历）
- 待遇
- 每年£21,805的税前津贴和支付学费。
- 申请方式
- 请点击上方的'Apply'按钮申请，推荐在截止日期前尽早申请。
- 材料清单
- 个人简历
- 学术背景
- 相关经验
- 研究动机
由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成，博士岗判定置信度 95%。
结构化信息
- 截止
- （Europe/London） 剩 266 天
- 学科
- 材料科学
- 合同类型
- 雇佣合同
- 原文薪资
- GBP 21,805 / 年（税前）
- 税后月薪（估）
- ¥13,700；房租后 ¥5,400
- 估算假设
- 单身、无子女、雇佣合同的粗略估算，以学校 offer 为准；扣除率 18%；汇率日期 2026-10-01
- 原帖发布
- 本站收录
- 内容更新
- 导师
- Prof Radha Boya
- 来源
- jobs.ac.uk（英国博士项目及学术招聘） · 最近核对 2026-10-07
判定依据（原文摘录）
- is_phd
This 3.5-year PhD project
- english_ok
students who are eligible to pay tuition fees at the Home rate are eligible to apply
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The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or
原文
Application deadline: All year round
This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026.
Self-funded home and overseas students are welcome to apply.
We recommend that you apply early as the advert may be removed before the deadline.
Nano- and Angstrom-scale capillaries have been studied intensively because of their importance in many natural phenomena and use in numerous applications. Embarking on a groundbreaking PhD journey, this research endeavours to revolutionize the landscape of biomimetics by developing artificial nanochannels inspired by biological mechanosensitive receptors. With a focus on mimicking the exquisite touch, force, pressure, and nuanced responses to various physical stresses found in human skin, the proposed nanochannels will be meticulously crafted from cutting-edge 2D materials. Leveraging the unique properties of these materials, such as graphene or other two-dimensional structures, our aim is to engineer nanochannels that not only respond to mechanical deformation but also enable controlled ion flows, mirroring the sensory sophistication of natural receptors. The primary aim of this research is to design and develop artificial nanochannels capable of mimicking the diverse sensory functions of biological mechanosensitive receptors. Specifically, the focus is on creating nanochannels that enable ion flows to distinguish between touch, force, pressure, and various forms of physical stress. This involves:
• Designing Nanochannels with Variable Sensitivity: Develop nanochannels with the ability to modulate ion flow in response to different magnitudes of mechanical stress, thereby mimicking the varied sensitivity of biological mechanosensitive receptors.
• Implementing Selective Ion Permeability: Engineer the nanochannels to exhibit selective ion permeability, allowing for the distinction between different types of mechanical stimuli. This can be achieved by controlling the size, shape, and chemical properties of the nanochannels.
• Integrating Signal Processing Mechanisms: Incorporate signal processing mechanisms within the artificial receptors to interpret the ion flow patterns and generate distinct electrical signals corresponding to touch, force, pressure, and various forms of physical stress.
The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent).
We strongly recommend that you contact the main supervisor, Prof Radha Boya , before you apply. Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
Please apply via the ‘Apply’ button above. £21,805 annual stipend + tuition fees paid