英国斯特林大学2021年招聘博士后职位（欧盟委员会资助项目"发明水"）

ITN Early Stage Researcher – InventWater ESR11

University Of Stirling

Description

ITN Early Stage Researcher – inventWater ESR11 ApplyPost Details

Full time Fixed term for a period of three years

Salary: circa £36,178 p.a subject to annual review based on exchange rates

The closing date for application is midnight on Wednesday 08 December 2021 Interviews are expected to take place on Monday 20 or Tuesday 21 December 2021

It is anticipated that a successful candidate who does not already have valid Right to Work in the UK will apply for a Global Talent visa to take up the post

The post is also subject to successful enrolment on a PhD programme at the University of Stirling. The successful candidate will be provided with information on how to enrol on a PhD programme

The Post

We are looking to recruit an outstanding and enthusiastic ITN Early Stage Researcher (ESR / PhD student) to work on the H2020 MSCA ITN project ‘inventWater' funded by the European Commission. This is an exceptional opportunity to join an international cohort of 15 ESRs and a wider team of international scientists working on key topics in the development of forecasting tools for adapting water quality management to a new climate.

The post will be salaried for period of three years with an expectation of submitting a PhD thesis within four years of appointment. Please be aware that the fourth year of PhD registration carries no salary.

Line manager and lead supervisor Dr Ian Jones Any queries about the post can be directed to ian.jones@stir.ac.uk

Co-supervisors Professor Eleanor Jennings, Dundalk Institute of Technology, Ireland Dr Peter Hunter, University of Stirling, Stirling, UK

Project Description Oxygen is a fundamental water quality parameter; depletions in oxygen will affect fish habitat and increase anoxia promoting internal release of nutrients and heavy metals from lake sediment. Increased air temperatures are forecast to cause longer periods of stratification in lakes that will directly lead to longer periods of deoxygenation. Other climate-induced changes such as alterations to the strength of stratification and to hypolimnetic temperatures will also affect oxygen dynamics, as will any changes to phytoplankton productivity in lakes. Oxygen concentration, and particularly deep-water oxygen concentration, is, therefore, at risk of significantly reducing because of climate change, with widespread negative consequences for standing water ecosystems. The impact of climate change on oxygen concentration needs to be understood for adaptation approaches to be applied effectively.

The objective of this PhD is to validate oxygen models against real data, use the models to understand the effect that different lake morphology has on oxygen dynamics, and conduct global modelling experiments to demonstrate the impact of future climate change and adaptation strategies on deep-water oxygen in lakes across the world.

Expected Results:

Model oxygen dynamics in Lake Erken with GOTM and compare with simpler oxygen models.

Use modelling based on Lake Erken, Sweden, and Milltown Lake, Ireland, to examine the influence hypsography has on oxygen depletion.

Carry out historic and future global modelling of deep-water oxygen concentration using the full suite of ISIMIP lake physics model outputs for each global grid square.

Forecasts of anoxia on a subset of ISIMIP lakes and adaptation scenarios.

Secondments This position involves significant collaboration and the successful candidate will be required to undertake secondments to these organisations as part of the appointment. A willingness to travel and spend time outside the UK is therefore essential:

Dr Don Pierson, University of Uppsala , Uppsala, Sweden; 4 months

Professor Eleanor Jennings, Dundalk Institute of Technology , Ireland; 3 months

Description of Duties

Develop research objectives and methodology relevant to the project area

Undertake all research components, for example conducting literature searches, conducting and recording the outcome of experiments and field work, developing and validating computer programs

Write up results of own research and contribute to the production of research reports and publications

Collaborate with academic and industry colleagues on areas of shared research interest

Continually update knowledge, skills and understanding in field or specialism

Essential Criteria

Qualifications:

Primary degree in the natural sciences, mathematics, engineering, or physical geography, with a minimum of an upper second (2.1) degree (or equivalent)

Any applicant whose first language is other than English must have either a certified English language proficiency of at least IELTS 6.5 or equivalent, or have undertaken their qualifying degree through English

Knowledge, Skills & Experience:

Demonstrable numerical ability

Experience in computer programming in one or more scientific programming languages (such as R, Python, Matlab, Fortran etc)

Knowledge of environmental issues

Willingness to take part in secondments detailed above and to take part in overseas training courses

Candidates must also meet the following eligibility criteria:

Researchers are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. Applicants cannot apply for an ESR position hosted in a country where they have resided, worked or studied for more than 12 months in total in the 3 years immediately prior to the start of recruitment

Applicants should be in the first four years ( full-time equivalent research experience ) of their research careers and not yet have been awarded a doctorate. This 4 year period is measured from the date of obtaining the degree which would formally entitle them to embark on a doctorate in the country of the host institution

Desirable Criteria

Qualifications:

A first class degree (or equivalent) in natural sciences, mathematics, engineering, or physical geography

An MSc in natural sciences, mathematics, engineering, or physical geography

A distinction (or equivalent) at MSc in natural sciences, mathematics, engineering, or physical geography

Knowledge, Skills & Experience:

Experience in numerical modelling

Experience in handling very large datasets

Good statistical knowledge

Knowledge of limnology

Knowledge of ecology

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.

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.

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.

Finding solutions Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.

Embracing change Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.

Using resources effectively Identifying and making the most productive use of resources including people, time, information, networks and budgets.

Engaging with the wider context Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values.

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.

Working together Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process.

Achieving Results Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.

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