UK全奖: CV+ML

PhD studentship in Robust Multiple Object Tracking at City, University of London in collaboration with Tesco

We are seking to appoint one fully funded PhD student in Computer Science in collaboration with Tesco Ltd, the largest retail company in UK.
Closing application date: 30th Nov 2022
Starting date: 1st Feb 2023
The sccessful candidate will work on exciting project to develop utting edge computer vision and machine learning technology. In recent years, we witness that Multiple Object Tracking (MOT) has been becoming more and more important due to its exellent academic and business importance. During last decades, dfferent approaches have been proposed to tackle this problem and however, robustness remains one of biggest open challenges. Existing approaches performance can degrade significantly due to various visual distortion and variants. The project aims at designing robust computer vision algorithms to enable efctive and reliable object tracking. PhD is sponsored by City, University of
London and Tesco. It will provide golden opportunity to work on mass scale real life retail data from Tesco.

What is offered:
The full studentship consists of a full fee cost (UK or international), a maintenance grant of full fees +
f19,668 pa, for three years. The sccessful applicant will work closely with world leading computer vision and machine learning researchers from City University of London and Tesco.

Eligibility:
The studentship will be awarded based on academic achievement and the potential to produce cutting edge research. Prospective applicant must:

Hold a good master's degree (no less than a second-class honours degree or an equivalent qualification) in Computer Science, Artificial Intelligence, Mathematics, or other relevant disciplines. We will aไso consider applications from those with a good honours degree or
extensive professional experience in the area;

Proficiency in two or more of the following areas:
1. implementation and evaluation of deep learning architectures and algorithms.
2. computer vision methods and models;
3. deep learning in theory and practice.
4. Solid mathematical ability
Proficiency in programming in Python;
Be able to demonstrate proficiency in the use of oral and written English.
How to Apply:

You are strongly encouraged to discuss your application in advance with Professor Jialie Shen
(jerryshen@city. acuk).

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国际全奖，还会有国际travel，part time教学及GPU高性能计算补助[呲牙]，资助力度高[握手]
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联系方式：jerry.shen@city ac.uk

详细信息：https://www.jobs.ac.uk/job/CVD08 ... boration-with-tesco