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Vacancies

PhD studentship combining machine learning with data assimilation

PhD studentship in Effective marine forecasting and object recognition with small samples through combining machine learning with data assimilation.
Imperial College London – Data Science Institute
Funding for: UK Students, EU Students and Overseas
Funding amount: £17K
Hours: Full Time
Closing date for applications: 28 Feb 2021

The Data Science Institute (DSI) celebrated its 5th anniversary in 2019, bringing together Imperial’s existing data science activities and expertise to provide a focus and a catalyst for new partnerships. The DSI supports multidisciplinary collaborations between the College’s academic experts in many disciplines such as healthcare, financial services, climate science, and city infrastructure to create solutions to complex problems. Alongside research, the Institute fosters the next generation of data scientists and engineers.

Thanks to its many research collaborations both across College and with a variety of external academic and industrial partners, the DSI is establishing its role as an international hub in data science.

We are pleased to announce our collaboration with the China State Shipbuilding Corporation (CSSC) and Jiangsu Automation Research Institute (JARI) to produce the next generation of Data Scientists. CSSC is one of the largest shipbuilding conglomerates in China.

We are looking for motivated applicants interested in pursuing a PhD in Environmental Intelligence. The research will be part of a Project which aims to develop machine learning methods with small samples by exploring prior knowledge through the development of technologies of feature enhancement, high-quality sample generation, data quality evaluation and data assimilation to solve difficult problems in marine forecasting.

Applicants should have knowledge in one or more of:
• Machine learning
• Data analysis and modelling

A willingness to work independently and as part of a team on research is essential. In addition, the candidates should have (or be expecting to obtain) a distinction master degree (or equivalent) in computing or a relevant subject.
Applicants must be fluent in spoken and written English.

Eligibility and Funding:
The position is a full-time position, and a stipend of £17K per annum, available to UK/EU and overseas student.

How to apply
Applicants should send by email to Ping Huang (p.huang@imperial.ac.uk) stating in the subject line enter: Effective marine forecasting and object recognition with small samples through combining machine learning with data assimilation.
Include your CV, details of academic qualifications and a short statement of your motivation and experience.

Expected start date: April 2021
If you have any queries about the application process, please contact:
Dr. Amani El-Kholy at: a.o.el-kholy@imperial.ac.uk
or Ping Huang at: p.huang@imperial.ac.uk
This position will be based at the South Kensington campus in central London, next to Hyde Park and the museums of South Kensington.

Closing date: 28 Feb 2021

About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world
Applicants are advised to visit http://www.imperial.ac.uk/computing/prospective-students/courses/phd/ for general information on becoming a PhD student in the Department of Computing.