Oferta de empleo: DATA SCIENTIST & BIG DATA ANALYST
16 March 2020PhD studentship: Statistical analysis of risk, failure, and extreme event propagation in the airline industry using multi-level networks
23 March 2020Oferta de empleo: DATA SCIENTIST & BIG DATA ANALYST
16 March 2020PhD studentship: Statistical analysis of risk, failure, and extreme event propagation in the airline industry using multi-level networks
23 March 2020This post presents an opportunity for a research scientist to join a research team based at Cambridge and work on the Stochastic Modelling of Urban Structures as part of the EPSRC funded Programme Grant ICONIC (https://iconicmath.org).
The research to be undertaken by the postholder will focus on the development of new Bayesian methodologies for inverse problems, including high-dimensional latent Gaussian models, elliptic PDEs and singly-constrained dynamic urban models.
The successful candidate will have demonstrable experience in: data modelling and analysis, experience in developing theoretical analysis of statistical methodology, experience in large scale computing, experience authoring technical documents and scientific papers, proven ability to work in a team, proven ability to communicate effectively.
Applicants must have, or be close to obtaining, a PhD in Mathematics, Physics or Statistics. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). 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.
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 visit :
http://www.jobs.cam.ac.uk/job/25494.
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. 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 about this vacancy or the application process, please contact Sue Stocks at sms98@cam.ac.uk
Please quote reference NM22745 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.
Mark A Girolami FRSE FIET
Sir Kirby Laing Professor of Civil Engineering
Royal Academy of Engineering Research Chair
Engineering Laboratory
Christ’s College
University of Cambridge