机器学习用于高速飞行器控制的博士生职位
PhD Studentship: Machine-learning for High-speed Aerial Vehicle Control
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
- 研究机器学习技术，用于高速和高机动性飞行器的控制
- 申请条件
- 2.1或以上的STEM领域本科毕业证书，熟悉MATLAB、Simulink、飞行控制、动力系统、机器学习等
- 待遇
- 全额资助，标准EPSRC津贴
- 申请方式
- 请在线申请，网址：http://www.bris.ac.uk/pg-howtoapply，选择‘PhD in Aerospace Engineering’，并填写相关信息
- 材料清单
- 学士学位证书
- 成绩单
- 推荐信
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 27 天
- 学科
- 农业与生物科学
- 合同类型
- 雇佣合同
- 原帖发布
- 本站收录
- 内容更新
- 导师
- Dr Duc Nguyen, Dr Bahadir Kocer, Professor Mark Lowenberg
- 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
原文
The project:
This PhD project will investigate new machine learning techniques, including physics-informed neural networks for dynamical systems, for controlling high-speed and highly-manoeuvrable aerial vehicles. Emphasis will be placed on bridging the gap between classical control and modern machine learning methods, as well as high-level path planning and low-level flight control. like A principal research aim will be to develop a physics-informed, meta-learned adaptive guidance approach, which can instantly adapt the guidance and control system to new tracking targets, atmospheric conditions, or vehicle states using only a few real-time measurements.
The work will be co-funded by a leading industrial partner in the defence sector. There is also an opportunity to conduct a work placement at the industrial partner's site.
Desirable skills and experiences:
- 2.1 or above undergraduate degree in STEM
- MATLAB, Simulink
- Flight control
- Dynamical systems
- Machine learning
- Relevant academic or industrial experience
How to apply:
Please make an online application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select ‘PhD in Aerospace Engineering’ on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form.
Candidate requirements: The successful candidate must qualify for UK home student status and is expected to successfully obtain a UK security clearance. Candidates are requested to confirm their fee status when contacting one of the supervisors. The expected start date is no later than March 2027.
Funding: fully funded
Contacts:
Dr Duc Nguyen: duc.nguyen@bristol.ac.uk
Dr Bahadir Kocer: b.kocer@bristol.ac.uk
Professor Mark Lowenberg: m.lowenberg@bristol.ac.uk Funding: fully funded. Standard EPSRC stipend