Grade UE07 £39,347- £36,974
CSE- GeoSciences
Full-Time 35 hours per week
Fixed term for 16 months, anticipated start date 1 August 2024.
The Opportunity:
We are seeking an outstanding Postdoctoral Research Associate to carry out modelling and analysis of ice loss and estimates of glacier thickness using the Open Global Glacier Model (OGGM) and Factorial Snow Model (FSM) as part of the NERC Highlight Topics project The Big Thaw
The Big Thaw aims to:
- Improve measurements and modelling of seasonal snow in high-mountain regions
- Understand timescales and potential trajectories for change for existing glacier ice, snow and meltwater resources
- Determine frequency of extreme wet and dry years in the mountain cryosphere, and what climate factors cause these
This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The Big Thaw will make use of a range of modelling and in-situ fieldwork activities. The role of this post is to
- develop an effective coupling and calibration strategy using FSM to determine the surface mass balance and runoff of high-mountain glaciers,
- deploy this strategy in targeted regions where fieldwork and regional climate modelling is being carried out
- interface with the climate modellers who will provide meteorological inputs for the coupled model and with the hydrological modellers who will use glacier coverage and runoff as inputs
You will join a team of investigators in the Schools of GeoScience in the University of Edinburgh, with expertise in ice-sheet, glacier, and climate modelling.
We seek candidates with a PhD (or nearing completion) in global glacier modelling or computational geoscience. Extensive knowledge of Python is essential, and detailed experience developing within OGGM is highly desirable.
We welcome applications from everyone irrespective of gender or ethnic group. Appointment will be based on merit alone.
To support your application, please provide a CV and a Cover letter please.
Your Skills and Attributes for Success:
- A PhD (or a PhD close to completion) in a relevant quantitative scientific discipline
- Ability to work efficiently both independently and collaboratively as part of a team.
- Experience in analysing and interpreting model/observational data, including assessment of uncertainties.
- Experience with Python (essential) and ability to learn other programming languages (e.g. Fortran), as well as familiarity with Linux.
- Excellent organisational and communication skills.
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As a valued member of our team you can expect:
- A competitive salary of £39,347-£46,974
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community
- Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
Championing equality, diversity and inclusion
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. Further information is available on our right to work webpages (opens new browser tab)
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.
Key dates to note
The closing date for applications is 2 May 2024.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
Interviews will be held as soon as possible after the closing date.
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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