3x Research Associates in Multimodal Learning

TN United Kingdom; London; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading UK department in computer science is seeking 3 Research Associates in Multimodal Learning. The role involves conducting advanced research using deep learning and multimodal signals, focusing on contextual reasoning and generation across various input sources. Successful candidates will work with large datasets and collaborate with top researchers in the field.

Qualifications

• Experience in multi-modal learning and hands-on experience with deep learning frameworks.

Responsibilities

• Conduct research in multi-modal learning focusing on multimodal signals.
• Collaborate with the IBUG team and contribute to research presentations.

Skills

Machine Learning

Computer Vision

Natural Language Processing

Education

Post-doctoral

Tools

Deep Learning Frameworks

Job description

Job Title: 3x Research Associates in Multimodal Learning, London

Client: Imperial College London

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 5a5543074f39

Job Views: 3

Posted: 17.05.2025

Expiry Date: 01.07.2025

Job Description:

The post of 3x Research Associates (post-doctoral) involves conducting research in multi-modal learning, focusing on understanding multimodal signals. The project leverages advancements in deep learning, cross-modal representation learning, and transformer architectures to develop high-performing, data-efficient, and robust methodologies. Emphasis is placed on aligning and fusing heterogeneous modalities, with goals of generalization, scalability, and interpretability. The ultimate aim is to develop systems capable of contextual reasoning and generation across multiple input sources, applicable in human-computer interaction, assistive technologies, embodied AI, and creative media generation.

The positions are based in the Department of Computing at Imperial College London, South Kensington Campus, a leading UK department in computer science with top research ratings and rankings.

The IBUG group within the department focuses on advancing multi-modal learning through novel computational models that interpret and align information from various sources, enabling deeper understanding and reasoning. The research will involve working with large datasets of synchronized video, audio, and text, designing deep learning architectures, and integrating computer vision, NLP, and audio processing tools. Candidates should have experience in machine learning, computer vision, or NLP, with a strong track record in multi-modal learning and hands-on experience with deep learning frameworks.

The successful candidates will collaborate with Prof. Stefanos Zafeiriou and the IBUG team, contribute to research presentations, and assist in developing and maintaining software tools related to the project.

Note: If you are not a passport holder of the country for the vacancy, you may need a work permit. More information is available on our Blog.

Applications should be submitted via the 'Apply now' button. Bank or payment details should not be provided.

Created on 17/05/2025 by TN United Kingdom