Research Associate in Remote Sensing for Land and

3 weeks ago


Manchester, United Kingdom The University of Manchester Full time

As part of TRANSCEND, you will be responsible for conducting research to improve monitoring land and water use in a rapidly changing river basins (Work Package 4). A key focus of your work will be to deploy remote sensing data and machine learning techniques to quantify spatial and temporal patterns of land and water use, in particular related to agricultural production. You will combine these data-driven mapping approaches with existing monitoring infrastructure (e.g., meter records, meteorological data) to develop a water accounting and impact toolbox, which can be used by policymakers and practitioners to support the design, implementation, and enforcement of water allocation and risk management policies over space and time.

The TRANSCEND project will be implemented across a set of seven living labs in river basins facing growing water scarcity: the Júcar (Spain); Reno (Italy); Tympaki (Greece); Nitra (Slovakia); Caplina-Mauri-Desaguadero System (Peru, Chile and Bolivia); Orontes (Lebanon, Syria and Turkey); and Mahanadi (Indian states of Chhattisgarh and Odisha). In your role, you will work closely with local researchers and practitioners in some or all of these living labs to leverage tools developed by your research to solve immediate and long-term stakeholder-defined water management challenges. You will collaborate closely with other academic partners that are part of the TRANSCEND consortium, providing a unique opportunity to be embedded within an international network of world-leading researchers working on challenges of water management, climate adaptation, and socio-environmental modelling.

You will have a PhD or equivalent (or be close to completion) in a relevant field, such as remote sensing, land use science, hydrology, physical geography, environmental sciences, physics, computer science, or a related field. You will have demonstrated expertise in the use and analysis of earth observation imagery, and the ability to work effectively with geospatial data in programming languages such as R, Python, or Matlab. You will also have strong written and oral communication skills in English, and a passion for working on policy-oriented research in an interdisciplinary and multicultural team environment. A track record of peer-reviewed publications and development of data or software products will also be an asset.

Our University is positive about flexible working - you can find out more here

Blended working arrangements may be considered

**Enquiries about the vacancy, shortlisting and interviews**:
Name: Dr Tim Foster, Senior Lecturer in Water-Food Security

**General enquiries**:
**Technical support**:
**Please see the link below for the Further Particulars document which contains the person specification criteria.



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