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Postdoctoral Research Assistant in Machine Learning

TN United Kingdom

Oxford

On-site

GBP 40,000 - 70,000

Full time

Yesterday

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An established industry player is looking for a Postdoctoral Research Assistant in Machine Learning to join a prestigious team at a renowned university. This exciting role involves advancing research in multi-modal large language models and their applications in generative tasks. You will be responsible for developing innovative methods for understanding user interactions and planning intent predictions, all while managing your academic research. This is a unique opportunity to contribute to cutting-edge projects funded by a leading technology company, fostering an environment of collaboration and innovation. If you are passionate about machine learning and computer vision, this role is your chance to make a significant impact in the field.

PhD or near completion in Computer Vision or Machine Learning required.
Knowledge of deep neural networks for computer vision tasks is essential.

Develop methods for screen and video understanding using multimodal LLM.
Manage academic research and activities related to the project.

Machine Learning

Computer Vision

Deep Neural Networks

User Interaction Understanding

Planning and Intent Prediction

PhD or DPhil in Computer Vision or Machine Learning

Windows System

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Postdoctoral Research Assistant in Machine Learning, Oxford

Client: University of Oxford, Department of Engineering Science

Location: Oxford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 9d239a5c439c

Job Views: 3

Posted: 18.04.2025

Expiry Date: 02.06.2025

Job Description:

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.

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.

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Postdoctoral Research Assistant in Machine Learning

TN United Kingdom

Oxford

On-site

GBP 40,000 - 70,000

Full time

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