University of Bristol Recruitment 2026: Senior Research Associate in Multimodal Learning

University of Bristol Recruitment 2026: Senior Research Associate in Multimodal Learning

The University of Bristol, United Kingdom, invites applications for the position of Senior Research Associate in Multimodal Learning. This is an exciting 36-month postdoctoral research opportunity within the Faculty of Science and Engineering, funded through the EU-funded WeHear Project, led by the Technical University of Denmark (DTU).

The successful candidate will conduct cutting-edge research in multimodal audio-visual understanding for conversational AI, contributing to the development of next-generation smart hearing technologies powered by deep learning and artificial intelligence.

Position Details

Post: Senior Research Associate in Multimodal Learning

Job Number: ACAD108628

Institution: University of Bristol

Faculty: Faculty of Science and Engineering

Employment Type: Fixed-Term (36 Months)

Work Pattern: Full-time

Location: Bristol, United Kingdom

Salary

• £43,482 – £50,253 per annum

About the Role

The University of Bristol is seeking an outstanding postdoctoral researcher to join a highly active research team with a strong publication record in leading AI and computer vision conferences.

The position is funded through the EU WeHear Project, a collaborative initiative led by DTU (Technical University of Denmark), focusing on multimodal audio-visual understanding for smart hearing aids and smart glasses capable of real-time and predictive conversational understanding.

The successful candidate will work closely with Dr. Dima Damen, contributing to internationally recognized research in computer vision, multimodal learning, and artificial intelligence.

Key Responsibilities

During the 36-month appointment, the selected researcher will:

• Conduct original research in multimodal audio-visual understanding for conversational environments.

• Design, develop, train, and evaluate state-of-the-art deep learning models.

• Develop AI algorithms for low-latency, real-time, and predictive audio-visual perception.

• Contribute to the development of intelligent systems for smart hearing aids and smart glasses.

• Collaborate with international research partners within the WeHear consortium.

• Publish research findings in leading international journals and conferences.

• Present research at major international AI, machine learning, and computer vision conferences.

Research Areas

The project covers several advanced research domains, including:

• Artificial Intelligence (AI)

• Deep Learning

• Multimodal Learning

• Computer Vision

• Audio-Visual Understanding

• Conversational AI

• Machine Learning

• Speech and Audio Processing

• Human-Centred AI

• Smart Hearing Technologies

• Wearable Computing

• Pattern Recognition

Essential Qualifications & Experience

Applicants should possess:

• A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Electrical Engineering, or a closely related discipline.

• Strong expertise in audio-visual perception and deep learning.

• An excellent publication record, including first-author publications in leading venues such as:

  • CVPR

  • ICCV

  • ECCV

  • ICASSP

  • PAMI

  • IJCV

  • NeurIPS

  • ICLR

• Strong programming and research skills with experience in developing deep learning models.

• Excellent written and verbal communication skills.

Research Environment

The successful candidate will become part of a vibrant and internationally recognized research group with continuous publications in top-tier AI conferences and journals.

The project provides opportunities to:

• Collaborate with the Technical University of Denmark (DTU) and other European research partners.

• Work on cutting-edge AI technologies with real-world healthcare applications.

• Access advanced computing and research facilities.

• Engage in interdisciplinary collaborations across academia and industry.

Why Join the University of Bristol?

The selected researcher will have the opportunity to:

• Work on an EU-funded international research project.

• Conduct world-leading research in multimodal AI and conversational understanding.

• Collaborate with internationally renowned AI researchers.

• Publish in top-tier machine learning and computer vision venues.

• Contribute to next-generation smart hearing technologies with significant societal impact.

Important Date

How to Apply

Interested candidates should submit their application through the official University of Bristol recruitment portal, ensuring all required supporting documents are uploaded before the closing date.

Applicants are advised to carefully review the eligibility criteria, application requirements, and selection process in the official vacancy announcement before applying.

Official Source

Organization: University of Bristol

Faculty: Faculty of Science and Engineering

Position: Senior Research Associate in Multimodal Learning

Researchers with expertise in artificial intelligence, deep learning, computer vision, multimodal learning, audio-visual perception, and conversational AI are encouraged to apply for this prestigious international research opportunity.

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