面向以人为本机器人的多模态大语言模型博士研究员

Multimodal Large Language Model for human-centered robots

University of Southampton · 英国 · Southampton

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。

博士招生与资助公告

申请年度
2027;原帖说明:How to apply Apply now • programme type: research • academic year: 2027/28 • if you will be full time or part time • faculty: Engineering and Physical Sciences • search for programme PhD Computer Science (7089) • please add the name of the supervisor in section 2 of the application. Applications should include: • research proposal • your CV (resumé) • 2 academic references • degree transcripts/ certificates to date • English language qualification (if applicable)
最近申请截止
2027-03-31
全部申请截止
  • (Europe/London)
资助原文
Fees and funding We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. For more information, please visit our postgraduate research funding pages.
资助条件
原帖为竞争性或附条件资助说明,未确认本项目获资助及申请人能获奖;不作为保证全奖。
原帖材料说明
  • • research proposal
  • • your CV (resumé)
  • • 2 academic references
  • • degree transcripts/ certificates to date
  • • English language qualification (if applicable)

确定性信息来自对应版本的完整原帖。原帖只提供日期,日末和学校当地时区为本站转换假设。筛选使用最后申请截止;资助与录取以学校审核结果为准。

AI 中文速览

研究内容
本项目旨在开发一个多模态大语言模型框架,使机器人能够通过视觉、语言、音频及其他感官数据理解交互环境,并通过行动、语音和视觉输出等多模态渠道与用户进行自然、自适应且以人为本的交互。
申请条件
申请者需持有英国2:1荣誉学士学位或同等国际学历,具备扎实的Python编程和机器学习技能,并对机器学习与机器人的结合有浓厚兴趣;具备大语言模型、多模态学习及机器人相关经验者更佳。
待遇
学校提供多种面向英国及国际学生的资助机会,包括地平线欧洲学费减免、竞争性总统奖学金以及学校提供的学费和生活费资助名额(基于竞争择优发放)。
申请方式
申请人需通过学校系统申请2027/28学年全日制或兼职的PhD Computer Science (7089)项目,并在申请表的第二部分填写导师姓名。
材料清单
  • 研究计划书 (research proposal)
  • 个人简历 (CV/resumé)
  • 2封学术推荐信 (2 academic references)
  • 至今的学位成绩单/证书 (degree transcripts/ certificates to date)
  • 英语语言资格证明(如适用) (English language qualification)

由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。

岗位信息

最终轮次截止
2027-03-31
学科
计算机科学
合同类型
项目资助
本站收录
内容更新
原帖导师候选(待核验)
Tan Viet Tuyen Nguyen
来源
南安普顿大学博士研究项目招生 · 最近核对 2026-10-24
详情核验
判定依据(原文摘录)
  • 确认是博士培养机会
    Type of degree Doctor of Philosophy
  • 确认要求英国2:1荣誉学位或国际同等学历
    A UK 2:1 honours degree, or its international equivalent.
  • 确认英语授课与申请要求
    English language qualification (if applicable)
原文

View all current projects

Postgraduate research project

Multimodal Large Language Model for human-centered robots

Funding

Competition funded

Competition funded

View fees and funding

Type of degree

Doctor of Philosophy

Entry requirements

2:1 UK honours degree

2:1 UK honours degree

View full entry requirements

Faculty graduate school

Faculty of Engineering and Physical Sciences

Closing date

31 Mar 2027

On this page

About the project

Potential supervisors

Entry requirements

Fees and funding

How to apply

Contact us

About the project

Potential supervisors

Entry requirements

Fees and funding

How to apply

Contact us

About the project

This project explores the development of a Multimodal Large Language Model that empowers robots to understand and respond to humans through vision, language, and other sensory data. By enabling natural, adaptive, and context-aware communication, the research advances the next generation of intelligent, human-centered robotic systems.

Robots are increasingly being integrated into various aspects of daily life, including education, healthcare, workplaces, and personal settings. These practical applications require that robots collaborate effectively with humans in shared environments to enhance human capabilities, prioritize human needs, and seamlessly fit into everyday contexts.

This project aims to develop a Multimodal Large Language Model framework that enables robots to interpret interaction contexts from multiple modalities, such as vision, language, audio, and other sensory data, and to engage users through diverse communication channels, including actions, speech, and visual outputs. The framework will allow robots to perceive multimodal signals collected from both the environment and human users during everyday interactions, build a deep contextual understanding, and respond appropriately across different modalities to achieve natural, adaptive, and human-centered interaction.

You will have the opportunity to collaborate with other researchers in the following groups:

• Agents, Interaction, and Complexity research group

• Centre for Robotics

• Responsible AI project team

You'll contribute to high-impact journals and conferences.

You will have access to high-performance computers and a range of robot platforms to support your research.

The School of Electronics & Computer Science is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.

Potential supervisors

Lead supervisor

Dr Tan Viet Tuyen Nguyen

New Frontiers Fellow

Research interests

• Human-centered Artificial Intelligence

• Social Human-Robot Interaction

• Multimodal Perception and Interaction

Entry requirements

A UK 2:1 honours degree, or its international equivalent.

Essential skills:

• solid programming skills in Python and machine learning

• a strong interest in the intersection of machine learning and robotics

Prior experience with large language models, multimodal learning, and robots would be advantageous.

Fees and funding

We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.

Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.

Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.

Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

For more information, please visit our postgraduate research funding pages.

How to apply

Apply now

• programme type: research

• academic year: 2027/28

• if you will be full time or part time

• faculty: Engineering and Physical Sciences

• search for programme PhD Computer Science (7089)

• please add the name of the supervisor in section 2 of the application.

Applications should include:

• research proposal

• your CV (resumé)

• 2 academic references

• degree transcripts/ certificates to date

• English language qualification (if applicable)

Contact us

Faculty of Engineering and Physical Sciences

If you have a general question, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).

Project leader

For an initial conversation, email Dr. Tan Viet Tuyen Nguyen (tuyen.nguyen@soton.ac.uk).

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