Postdoctoral Research Associate in Statistical Computing
We are looking for a postdoctoral researcher in statistical computing methods, to work on the next generation of scalable and stable smooth statistical modelling methods, and their implementation in a state of the art python package. This 4 year project is collaborative with industrial partners and Simon Wood (the author of R package mgcv for smooth regression modelling).
Job Description:
The researcher will work with Simon Wood, industrial partners and students on developing statistical computing methods for general smooth regression models in large data – large model settings, and on innovative smoothing parameter and uncertainty quantification methods for general smooth models that approach O(np) computational complexity.
* A PhD in statistical computing methods or closely related field.
* Proven statistical publication track record, with a sound methods component.
* Strong mathematical, numerical and software engineering skills.
* Good knowledge of modern statistical regression, particularly smoothing and mixed models.
* A strong background in Bayesian and frequentist statistical methods.
What We Offer:
To play a key part in producing methods that get used and make a difference to how data are analysed in practice, as part of collaborative team based in the statistics group in the School of Mathematics.
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK.
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