Research Data Officer - Leeds, United Kingdom - University of Leeds
Description
Research Data Officer:
Are you highly motivated with excellent data management skills and interested in supporting a dynamic, global scientific collaboration with thousands of partners? Do you have excellent communication skills including in Portuguese?
This Research Data Officer position will have a key role in growing the quality, quantity, and impact of this unique resource.
You will also liaise with the academic team of the NERC-funded SECO project that leads development of a plot-based understanding for tropical dry biomes (Prof Oliver Phillips and Prof Tim Baker at Leeds, and Kyle Dexter and Prof Casey Ryan at Edinburgh).
As a highly motivated and organised individual, you will be based with the team in the School of Geography at the University of Leeds.
Your role will be to support our partners directly with their data management needs, especially those working in savanna and dry forest systems worldwide, and in all forest ecosystems across Brazil.
You will act as the first point of contact for these collaborators, assisting and advising with data management of long-term ecological plots.
You will have experience in managing forest or ecological data and as you gain experience with you will be responsible for ensuring high-level data quality control, delivering training to some users in our tropical research community, and ensuring consistent, high-quality protocols are adopted by partners.
As your role will involve a high degree of autonomy, it is essential that you are highly organized and self-motivated with excellent communication, interpersonal and time management skills, and proven attention to detail.
To explore the post further or for any queries you may have, please contact:
Aurora Levesley, Administrator, School of Geography
Professor Oliver Phillips, Chair in Tropical Ecology, School of Geography
Location:
- Leeds
- Main Campus
Faculty/Service: - Faculty of Environment
School/Institute: - School of Geography
Category: - Technical Support
Grade: - Grade 5
Salary:
Working Time:
- 35 hours
Post Type: - Full Time
Contract Type: - Fixed Term (Available for 2 years due to funding)
Release Date: - Wednesday 29 November 2023
Closing Date: - Monday 15 January 2024
Reference: - ENVGE1222
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