英国剑桥大学博士后职位——基于自然语言的自适应多机器人任务控制

英国剑桥大学博士后职位——基于自然语言的自适应多机器人任务控制

剑桥大学（University of Cambridge），简称“剑桥”，是一所坐落于英国剑桥郡剑桥市采用传统学院制的顶尖研究型大学。学校是罗素大学集团、全球大学校长论坛、全球大学高研院联盟、国际应用科技开发协作网、剑桥大学医疗伙伴联盟成员，衍育了科技聚集地“硅沼（Silicon Fen）”，被誉为“金三角名校”、“G5大学”。

Research Assistant in Adaptive Multi-Robot Mission Control via Natural Language

University of Cambridge - Department of Computer Science and Technology

Location: Cambridge

Salary:    £32,296 to £34,866 per annum

Hours:    Full Time

Contract Type:      Fixed-Term/Contract

Placed On:     14th February 2025

Closes:    28th February 2025

Job Ref:  NR44922

Fixed-term: The funds for this post are available for 6 months in the first instance.

Applications are invited for a Research Assistant (RA) to join the Prorok Lab in the Department of Computer Science and Technology, at the University of Cambridge, UK.

The Research Assistant will work together with a team of students and research collaborators on the development of decentralized cooperative robot policies that respond to higher order mission specifications given through natural language.

Candidates should have a Bachelor or Master's degree in Computer Science or related field, or equivalent experience. The ideal candidate will be proficient in working with LLMs including fine-tuning and leveraging pre-trained models. They will also have an understanding of NLPs and  familiarity and hands on experience of multi robot systems.

They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. The main objective of this role is to demonstrate the feasibility of learning low-latency multi-robot control policies that can follow natural language instructions, with a focus on practical real-world deployments

The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self-motivation, research-oriented thinking, and a drive for getting real robotic systems up and running are all essential traits for this position.

Applicants should contact Prof Amanda Prorok for further information.

http://www.proroklab.org

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Required documents include a cover letter, a curriculum vitae, a brief research statement, and contact information for three references.

If you have any queries about the application process please contact personnel-admin@cst.cam.ac.uk.

Please quote reference NR44922 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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