英国埃克塞特大学博士后—多模式AI

英国埃克塞特大学博士后—多模式AI

埃克塞特大学（University of Exeter），又名埃克斯特大学，是一所位于英国西南部的顶尖公立综合性研究型大学，起源于十九世纪中叶，于1955年受皇家特许正式创建大学。现为英国罗素大学集团、英联邦大学协会和GW4联盟等组织成员。

Postdoctoral Research Fellow in Multimodal AI

University of Exeter

Job details

Job reference

P92003

Date posted

06/02/2024

Application closing date

05/03/2024

Location

Exeter (Hybrid)

Salary

The starting salary will be from £41,732 to £46,974 on Grade F, depending on qualifications and experience.

Package

Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).

Contractual hours

36.5

Basis

Full-time

Job category/type

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.

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.

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