The role
You will be responsible for combining a range of different satellite and ground-based observations of glacier mass balance to produce a time series of global mass balance from the 1970s to the present day. In addition, you will help in the development of the Open Global Glacier Model (OGGM) to improve its representation of current mass balance and consequently future projections. The aim of the observational combination is to use a Bayesian Hierarchical Modelling approach that accounts for the uncertainties in the different data sets.
A background in statistical inference and/or signal processing applied to an environmental problem and/or numerical modelling experience would be advantageous. Applicants should have strong statistical and computational skills, ideally related to problems in geoscience. Some glaciological background would be advantageous but not essential.
What will you be doing?
You will be processing and analysing a variety of global and regional glacier mass balance time series derived from different satellite methods including stereo-photogrammetry, gravimetry, altimetry as well as in-situ data collected in the field. You will use state-of-the-art statistical inference methods to combine the data in a way that accounts for their uncertainties and the different sampling in space and time. You will also contribute to the development of the glacier model OGGM to improve its representation of present-day mass balance and future projections, which is written in Python as an open-source community resource hosted on GitHub. You will be working with an international team of scientists across Europe and India.
You should apply if
You have strong numerical and computational skills acquired in a field of geoscience. You are excited by contributing to important problems in climate science and have good interpersonal skills and enjoy working in a dynamic team.
Additional information
Contract type:
Open ended with fixed funding until 31/12/2027 Work pattern:
Full time Grade:
J/Pathway 2 Salary:
£42,632 - £47,874 per annum School/Unit:
School of Geographical Sciences This advert will close:
at 23:59 UK time on 27/01/25 Interviews will be held within the next few weeks after the advert closing date For informal queries, please contact: Prof Jonathan Bamber J.Bamber@bristol.ac.uk
Our strategy and mission
We recently launched our strategy to 2030 tying together our mission, vision and values. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution. #J-18808-Ljbffr
You will be responsible for combining a range of different satellite and ground-based observations of glacier mass balance to produce a time series of global mass balance from the 1970s to the present day. In addition, you will help in the development of the Open Global Glacier Model (OGGM) to improve its representation of current mass balance and consequently future projections. The aim of the observational combination is to use a Bayesian Hierarchical Modelling approach that accounts for the uncertainties in the different data sets.
A background in statistical inference and/or signal processing applied to an environmental problem and/or numerical modelling experience would be advantageous. Applicants should have strong statistical and computational skills, ideally related to problems in geoscience. Some glaciological background would be advantageous but not essential.
What will you be doing?
You will be processing and analysing a variety of global and regional glacier mass balance time series derived from different satellite methods including stereo-photogrammetry, gravimetry, altimetry as well as in-situ data collected in the field. You will use state-of-the-art statistical inference methods to combine the data in a way that accounts for their uncertainties and the different sampling in space and time. You will also contribute to the development of the glacier model OGGM to improve its representation of present-day mass balance and future projections, which is written in Python as an open-source community resource hosted on GitHub. You will be working with an international team of scientists across Europe and India.
You should apply if
You have strong numerical and computational skills acquired in a field of geoscience. You are excited by contributing to important problems in climate science and have good interpersonal skills and enjoy working in a dynamic team.
Additional information
Contract type:
Open ended with fixed funding until 31/12/2027 Work pattern:
Full time Grade:
J/Pathway 2 Salary:
£42,632 - £47,874 per annum School/Unit:
School of Geographical Sciences This advert will close:
at 23:59 UK time on 27/01/25 Interviews will be held within the next few weeks after the advert closing date For informal queries, please contact: Prof Jonathan Bamber J.Bamber@bristol.ac.uk
Our strategy and mission
We recently launched our strategy to 2030 tying together our mission, vision and values. The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution. #J-18808-Ljbffr
