英国牛津大学博士后—机器学习

英国牛津大学博士后—机器学习

牛津大学（University of Oxford），简称“牛津”（Oxford），位于英国牛津，是一所公立研究型大学，采用传统学院制。是罗素大学集团成员，被誉为“金三角名校”、“G5超级精英大学”，全球大学校长论坛成员。

Postdoctoral Research Assistant in Machine Learning

University of Oxford

United Kingdom

April 04, 2024

Contact:N/A

Offerd Salary:£36,024 -£39,347

Location:N/A

Working address:N/A

Contract Type:fixed-term for 3 yea

Working Time:Full time

Working type:N/A

Ref info:N/A

Postdoctoral Research Assistant in Machine Learning

Department of Engineering Science, Parks Road, Oxford, OX1 3PJ

We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by Microsoft and is fixed-term for 3 years until April 2027.

This is an industry collaboration project aimed at advancing the research into the use, extension and optimization of multi-modal large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long term histories, automatic extraction of relevant data from noisy observations.

You will be responsible for developing and implementing novel methods for screen and video understanding, user interaction understanding, planning and intent prediction with multimodal LLM and SLMs. Planning for user data collection for video snapshots of diverse set of users performing a range of workflows using Windows system including considerations for privacy, security and data-richness.

You should possess a PhD or DPhil (or near completion of) in Computer Vision or Machine Learning. You should have knowledge of approaches for areas related to efficient, reliable, and robust deep neural networks applied to computer vision tasks. You should have the ability to manage your own academic research and associated activities.

Informal enquiries may be addressed to Professor Philip Torr (email: philip.torr@eng.ox.ac.uk)

For more information about working at the Department, see www. eng.ox.ac.uk/about/work-with-us/

Only online applications received before midday on 4th April 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Contact Person : Professor Philip Torr Vacancy ID : 171003 Contact Phone : Closing Date & Time : 04-Apr-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : philip.torr@eng.ox.ac.uk Salary (£) : Grade 7: £36,024 -£39,347 per annum

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