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Chair of Statistical Learning
2 weeks ago
UE10:
£63,673 per annum
School of Mathematics
Full time: 35 hours per week
Open ended:
Permanent
The School has particular strengths in statistical modelling, statistical computing and applied statistics with a wide variety of interests across Bayesian and frequentist statistical modelling and methodology.
We are looking for a first class researcher in the area of statistical learning to complement those strengths, who is self-starting, and has a keen interest in statistics as part of the scientific process of figuring out how the world works.
Salary Scale:
The role is grade UE10 and salary will be in the professorial range of £63,673 p.a.
Interviews are expected to be held on 26 January 2023.
Click
here f or a copy of the full job description
As a valued member of our team you can expect:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success.
You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits
pension scheme ,
staff discounts, family friendly initiatives
, flexible working and much more.
Access our staff benefits page
for further information and use our reward calculator **to find out the total value of pay and benefits provided.
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.
If invited for interview you will be required to evidence your right to work in the UK. Further information is available on ourright to work webpages
The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.
As a world-leading research-intensive University, we are here to address tomorrow's greatest challenges.
Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
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