人工智能增强柔性天线系统博士职位

Phd Studentship: AI-Enhanced Flexible Antenna Systems for Resilient Next-Generation Wireless Networks

The University of Manchester · 英国 · Manchester

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 AI 增强的柔性天线系统,用于下一代无线网络
申请条件
至少 2.1 等级的本科或硕士学位,相关科学或工程领域
待遇
年薪 21805 英镑,学费全免
申请方式
原文未说明
材料清单
  • 学位证书
  • 成绩单
  • 个人陈述

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 11 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
Dr Zahra Mobini
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
    international equivalent
  • bachelor_ok
    at least a 2.1 honours degree or a master's
原文

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. 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.

We recommend that you apply early as the advert may be removed before the deadline.

This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will investigate AI-driven approaches for channel estimation, beamforming, and real-time network optimisation. The goal is to enable adaptive 6G systems with improved reliability, energy efficiency, coverage, and resilience in complex and dynamic environments.

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master's (or international equivalent) in a relevant science or engineering related discipline

We strongly recommend that you contact main supervisor, Dr Zahra Mobini , 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.

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