PhD Studentship: Semantic Segmentation in the Wild: Learning pixel-level patterns with few labelled samples

This project aims to tackle the challenges of effectively performing pixel-level classification (aka semantic segmentation) in applications where annotated data for model training is lacking. Although pixel-level classification has evolved a lot in the last ten years with the development of approaches based on deep learning, its use is still limited in many applications due to the difficulty of assembling representative datasets for model training.

About the project

This project is aimed at addressing the issues associated with semantic segmentation in the wild by focusing on one or more of the following machine-learning challenges: unsupervised/self-supervised learning, data-centric learning, human-in-the-loop approaches, and open-set recognition. This project fits into the context of ongoing interdisciplinary research initiatives. The methods developed in this project can benefit and have a direct impact on research associated with environmental monitoring, public health, and assistive technologies.

Informal enquiries are strongly encouraged and should be directed to Dr Jefersson dos Santos ([email protected]

Supervisor bio

Jefersson A. dos Santos will start a Lecturer post at the University of Sheffield in September 2023. His CV can be found at: https://homepages.dcc.ufmg.br/~jefersson/  

About the Department and Research Group

The candidate will work in the Computer Vision group within the Department of Computer Science at the University of Sheffield.

99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading or internationally excellent.

Candidate requirements

  • Experience programming in python and using associated deep learning frameworks (e.g. PyTorch, TensorFlow).
  • A good Bachelor’s Hons degree (2.1 or above, or international equivalent) and/or Master’s degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject).
  • Ability to write and read academic/scientific texts. Previous experience publishing papers is desirable.
  • Interest in interdisciplinary research involving Computer Science, Remote Sensing, Environmental and/or Public Health Management
  • The English language requirements must also be met. Information on this can be found here: https://www.sheffield.ac.uk/postgraduate/english-language

How to apply

To apply for a PhD studentship, applications must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Please name Prof. Jungong Han as your proposed supervisor (due to the fact that Dr Jefersson A. dos Santos will be joining the Department in September, Jungong will be helping to process applications).

Information on what documents are required and a link to the application form can be found here – https://www.sheffield.ac.uk/postgraduate/phd/apply/applying  

The form has comprehensive instructions for you to follow, and pop-up help is available.

Funding details

This PhD studentship will cover standard UK home tuition fees and provide a tax-free stipend at the standard UK Research Council rate (currently £17,668 for

2022/23) for 3.5 years. If you are an overseas student, you are eligible to apply but you must have the means to pay the difference between the UK and overseas

tuition fees by securing additional funding or self-funding. Further information on International fees can be found here – https://www.sheffield.ac.uk/new-students/tuition-fees

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