Research Fellow in Digital Water - Stirling, United Kingdom - University of Stirling

University of Stirling

Verified Company

Stirling, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Post Details
Full time.
Fixed term for 24 months.

Interviews are expected to take place on Monday 11 September 2023.

There is an expectation that work will be undertaken in the UK.

For the purposes of sponsorship, this is a postdoctoral role under SOC code 2119.

The Post

Description of Duties

Develop and/or implement methods for the processing, analysis and quality control of _in situ_ and satellite data (including mainly radar observations) for flooding, soil moisture, and other relevant addedvalue products
Develop new research methodologies and approaches
Lead the authoring of projects reports and deliverables, write or contribute to publications, present research findings at scientific or industryrelated meetings, and disseminate research to nonscientific audiences through appropriate media and forums
Contribute to proposals to secure funding, including drafting grant proposals and planning for future proposals from internal and external bodies to support future research related to the existing post
Have a willingness to travel within the UK and internationally for fieldwork and scientific meetings, sometimes independently
Any other projectrelated duties, commensurate with the grade of the post
Contribute to other projects and collaborate with academic colleagues, across disciplines, on areas of shared research interest and to ensure that research advances inform faculty teaching effort

Essential Criteria

PhD in an appropriate discipline such as, geophysics, or freshwater, marine or environmental science, or environmental engineering
Experience in data analytics
Demonstrable proficiency in scientific programming in one or more languages (e.g., Python, R) with ability to quickly learn new technical skills
Developing ability to conduct individual research work and to disseminate results
Ability to routinely communicate complex and conceptual ideas to those with limited knowledge and understanding as well as to peers using high level skills and a range of media

Desirable Criteria

Experience in using EO and modelling data for monitoring water resources
Experience in the use of machine learning or statistical libraries for data analyses
Experience of undertaking sampling campaigns in inland waters
Experience in the use of in situ sensors for water quality assessment
Experience of supervising colleagues
Valid international driving licence
Experience of managing a small research project or identified parts of a large project

Behaviours and Competencies

The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.

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Managing self and personal skills

Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.

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Delivering excellent service
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.
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Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.
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Embracing change
Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.
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Using resources effectively
Identifying and making the most productive use of resources including people, time, information, networks and budgets.
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Engaging with the wider context
Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values.
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Developing self and others
Showing commitment to own ongoing professional development.

Supporting and encouraging others to develop their professional knowledge, skills and behaviours to enable them to reach their full potential.

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Working together
Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process.
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Achieving Results
Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.

About Us

The Faculty of Natural Sciences (FNS) encompasses the Divisions of Biological and Environmental Sciences, Computing Science and Mathematics, Psychology and the Institute of Aquaculture.

FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging inter-relationships between human behaviours, technologies, biological and environmental systems are created, explored and tested.

The most recent national assessment of research - REF2021 -confirmed that 80% of our research is classed as world leading and internationally excellent.

It is supported through UK Research Councils, European Union and a