Research Assistant/Associate in Machine Learning for Water Resources (Fixed Term)

A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on research in the fields of machine learning, hydrology, and water resources management at various spatial scales, from river basin to global. 

The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The key responsibilities and duties are: 

• Explore alternative ML models for hydrological prediction, focusing on large river basins in Africa, Asia and South America  
• Assemble and harmonize large sets of hydro-climatic data 
• Contribute to research proposals and writing bids for research grants 
• Write peer reviewed academic publications of the highest standards of significance and impact 
• Supervise less experienced researchers and PhD students 
• Develop skills and networks to become a successful independent researcher, including through grant writing, independent papers, consulting, trainings.  

The skills, qualifications and experience required to perform the role are: 

• PhD in Machine Learning, Climate Science, Statistics, Physics, Hydrology, or Information Engineering 
• At least one first authored publication in a referred journal 
• Strong record of productive and creative research, demonstrated by presentations at scientific conferences 
• Experience in computer programming for machine learning 
• Experience handling large hydro-climatic datasets 
• Experience working at the interface of machine learning and environmental risks 
• Experience in data engineering- curating and maintaining labelled training datasets for deep learning. 

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges: 

Research Assistant: £29,605 - £33,966 

Research Associate: £36,024 - £44,263 

Fixed-term: The funds for this post are available for 12 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Please ensure that you upload the following three documents in the Upload section of the online application: Curriculum Vitae (CV) [2 pages maximum]; a cover letter describing how you match the skills required for the role [1 page maximum]; your first authored publication in a refereed journal. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions on the application process, please contact: Jemma Cosbey, div-d@eng.cam.ac.uk, (Tel +44 01223 332717) who is responsible for recruitment to this position. For queries of a technical nature about the role, please contact Dr Edoardo Borgomeo (eb973@cam.ac.uk).

Please quote reference NM41831 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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