Postdoctoral Research Fellow in Multimodal AI

Faculty of Environment, Science and Economy

This new full time post is available immediately on an 18 month fixed term basis. This role offers the opportunity for hybrid working – some time on campus and some from home.

Summary of the role

The Faculty wishes to recruit a Postdoctoral Research Fellow to support the work of Dr Zeyu Fu. The researcher will be based at the Department of Computer Science, part of the Faculty of Environment, Science and Economy, and will be associated to the Institute of Data Science and Artificial Intelligence at the University of Exeter, working in collaboration with the University of Birmingham. 

We are seeking a highly motivated and skilled postdoctoral researcher to join our team to work on multimodal AI for video understanding. The successful candidate will be responsible for conducting cutting-edge research in machine learning, multimodal data analysis, and video understanding applied to social media data.

Responsibilities:

• Conducting research on the development and application of machine learning algorithms and computer vision techniques to large-scale multimodal datasets from social media platforms.
• Collaborate with research team members to design and implement data-driven studies to analyse data on social media platforms such as Tiktok.
• Collect and analyse large datasets using statistical and computational techniques, and communicate findings effectively to both technical and non-technical audiences.
• Publishing high-quality research articles in top-tier journals and conferences, and presenting research findings at national and international conferences.

The successful candidate will have access to state-of-the-art computing resources, a supportive and inclusive research environment, and opportunities for professional development and advancement.

If you are passionate about multi-modal data analysis, machine learning, and video understanding, and are interested in working on cutting-edge research projects, we encourage you to apply.

About you

The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.

Essential requirements:

• PhD or equivalent qualification/experience in machine learning/AI or computer vision, with a strong focus on multi-modal (e.g., audio, visual and text) data analysis, machine learning, video understanding, or related areas.
• An excellent track record of publishing/presenting papers in top-tier conferences or journals in the related areas (e.g., computer vision, machine learning, natural language processing or speech analysis).
• Excellent mathematical and programming skills Python, C, Matlab, or other relevant programming languages with experience deep learning frameworks (e.g. PyTorch and TensorFlow)
• Excellent written, verbal communication and collaboration skills, with a proven ability to work effectively as a team player.

Desirable requirements:

• Experience in natural language processing, audio data analysis or social media data analysis.
• Experience in undergraduate /postgraduate teaching and supervision.
• Experience in contributing ideas for research projects and research income generation

Please ensure you read the Job Description and Person Specification for full details of this role.

What we can offer you

• Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
• Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
• An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
• Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career

• A beautiful campus set in the heart of stunning Devon

The University of Exeter

We are a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University Ranking 2024).  We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2023, underpinned by Gold ratings for Student Experience and Student Outcomes.

Our world-leading research impact has grown more than any other Russell Group university in recent years, and we are home to some of the world’s most influential researchers, seeking to answer some of the most fundamental issues facing humankind today.  More than 99% of our research is of international quality and 47% is world-leading (2021 Research Excellence Framework).

We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. Read about our world leading research – Green Futures and how we are transforming education for a changing world. We are located in a beautiful part of the country and Exeter (a fast growing tech hub) is one of only a few UK cities to have been designated as a UNESCO Creative City

Our Equality, Diversity and Inclusion Commitment

We are committed to ensuring reasonable adjustments are available for interviews and workplaces.

Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. 

With over 30,000 students and 7,000 staff from 150 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN and Project Juno for Physics), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer.

Further information

Please contact Dr Zeyu Fu, [email protected] .