Bayesian Modeller
Unilever, Sharnbrook, Bedfordshire, UK
As a Bayesian modeller with our Safety and Environmental Assurance
Centre (SEAC), you will provide capability for assessing the risks that
chemicals present in consumer products sold by Unilever across the
globe. You will work in multidisciplinary teams alongside toxicologists,
chemists and other modellers by applying modelling and data analysis
techniques that directly contribute to toxicology risk assessments. You
will lead the application of Bayesian analysis and modelling in the
development of novel approaches to risk assessment and contribute to
external acceptance of these approaches through active publication and
external representation.
Experience:
- A PhD qualification (or equivalent experience) in Bayesian modelling
with a first degree in either Statistics, Mathematics, Physics,
Engineering or Computer Science
- Experience of applying Bayesian modelling to solve real-world problems
using experimental data (preferably biological)
- Computational experience of building models and performing analysis
using WinBUGS, MATLAB, R, C++ or other relevant programming languages
- Postdoctoral or proven industry experience of developing Bayesian
networks for decision making under uncertainty would be advantageous
Skills:
- Good communication and influencing skills
- Proven experience of working in teams
To find out more about this role and apply, please visit
<http://www.unilever.co.uk/careers/apply/experiencedprofessionals/?WT.LH
NAV=Experienced_professionals>
and search for 'modeller' under the UK vacancies
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