动力学参数近似和梯度流博士生职位
PhD Studentship: Regularized dynamical parametric approximations for gradient flows
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
- 研究动力学参数近似和梯度流
- 申请条件
- 需要数学1st class学位，数值分析背景，编程和沟通技巧
- 待遇
- 奖学金将覆盖学费、培训支持和标准率的津贴，持续3.5年
- 申请方式
- 原文未说明
- 材料清单
- 原文未说明
由 @cf/meta/llama-3.3-70b-instruct-fp8-fast 生成，博士岗判定置信度 90%。
结构化信息
- 截止
- （Europe/London） 剩 29 天
- 学科
- 数学
- 合同类型
- 雇佣合同
- 原帖发布
- 本站收录
- 内容更新
- 导师
- Dr Jörg Nick
- 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
PhD Studentship
- english_ok
excellent communication skills (oral and written)
- bachelor_ok
a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent
原文
Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is identified by, a set of parameters. Such methods are a popular choice in quantum dynamics, where the wavefunctions of many-body systems are approximated by multiple Gaussians. The methodology of interest further appears in the approximation of various dynamical problems by tensor networks and neural networks. In all these cases, the parametrization is typically irregular, meaning that the occurring linear systems are generally ill-conditioned.
The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and time-stepping schemes applied to gradient systems, the project aims to contribute towards the treatment of high-dimensional optimisation problems, such as the electronic structure problem.
We are looking for a highly enthusiastic and motivated student with - a strong 1st class degree in Mathematics at the MMath/MSci/MSc level, or equivalent; - a solid background in numerical analysis of differential equations; - excellent programming skills; - excellent communication skills (oral and written).
Informal inquiries should be directed to Dr Jörg Nick, e-mail: j.a.nick@bham.ac.uk
Funding notes:
Funding may be available through a college or EPSRC scholarship in competition with all other PhD applications.
The scholarship will cover tuition fees, training support, and a stipend at standard rates for 3.5 years. Early application is strongly recommended; there is an annual deadline (typically at the end of January) for scholarship applications; however, later applications may also be considered. Applications of overseas candidates can only be considered until the beginning of September. Strong self-funded applicants worldwide will also be considered.
Strong candidates are encouraged to make an informal inquiry at j.a.nick@bham.ac.uk .
References: https://link.springer.com/article/10.1007/s00211-026-01551-5