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PDRA in Machine Learning for High Impact Weather and Flood Prediction
Whiteknights Reading UK

Job reference: SRF29169

Location: Whiteknights Reading UK

Closing date: 19/07/2019

Job live date: 07/06/2019

Salary: £30,395 to £39,609 per annum

Employment type: AR-Research

Department: School of Mathematical Physical & Computational Sciences

Division: Meteorology

Hours per week: 1.00 FTE

Employment Basis/Type: Full-time,Fixed-term up to 16 months

The University of Reading invites applications for a postdoctoral research assistant to develop and evaluate machine learning techniques for processing observations of weather and flooding from datasets of opportunity, such as river cameras.  The post is funded by the EPSRC project “Data Assimilation for the Resilient City” (DARE) – (https://research.reading.ac.uk/dare/). The goal of the project is to use Data Science tools and techniques to create a step-change in skill for numerical predictions of urban natural hazards. The research undertaken by the post holder will underpin quantitative use of urban observation data from diverse sources such as citizen science, crowdsourcing and internet of things. The successful candidate will be based at the University of Reading, Department of Meteorology but with close contact with colleagues in Computer Science.

You will have:
•    (or expect shortly to obtain) a PhD or equivalent experience, in computer science, a quantitative physical science, engineering or mathematics 
•    knowledge of machine learning
•    the ability to write and adapt computer programs
•    experience giving oral presentations and writing scientific papers

Informal contact details

Alternative informal contact details

Contact role:

DARE project PI

Contact role:

Co-supervisor

Contact name:

Prof Sarah L Dance

Contact name:

Dr Varun Ojha

Contact phone:

+44(0)118 378 6452

Contact phone:

+44(0)118 378 8609

Contact email:

s.l.dance@reading.ac.uk

Contact email:

v. k.ojha@reading.ac.uk

 

Interviews will be held on 14 August 2019

The University is committed to having a diverse and inclusive workforce, is a Stonewall Diversity and Global Diversity Champion, and supports the principles of the Race Equality Charter and Athena SWAN.  Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

 

The closing date for this job has now passed.

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