Research Technician

University of Oxford
Oxford, United Kingdom
Position Type: 
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified


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Job description
Overview of the role

This is a full-time post funded by the University of Oxford Johh Fell Fund for around 6 months (depending on exact salary), working under the direction of Professor Andrew Hector on ‘Raindrop’ (Rainfall and drought platform) a new global change experiment in Wytham Upper Seeds grasslands that is part of Drought-Net and the International Drought Experiment (

  1. To undertake research work as directed by the supervisor. The work will mainly consist of a mixture of field (maintaining the climate change experiment and monitoring vegetation and environmental conditions) and computer work (data entry, checking, processing, archiving and basic graphical and statistical analysis) as described below.
  2. Oversee the day-to-day running of the Wytham climate change experiment.
  3. Provide technical support and assistance to postdocs, PhD and undergraduate project students and external collaborators.
  4. Maintain accurate records of experimental protocols and data.
  5. Maintain good field and computing (data science) practice at all times.
  6. Participate in the research group meetings and events.
  7. Assist with inductions and training of colleagues or students.
  8. Organise collection, processing, archiving and sharing of data within the research group, with other internal co-workers and with external collaborators (Open University, University of Manchester etc.) and Drought-Net.
  9. Keep up to date with and advise on matters relating to Health and Safety and other regulations relevant to the post.
Selection criteria
  1. Experience of field plant ecology (ideally grassland surveying and plant identification and basic plant ecology techniques – harvesting, dry mass estimation etc.) and in monitoring environmental variables (e.g. soil moisture, decomposition, respiration etc.).
  2. Experience of ecological data science (data entry, checking, processing, archiving, graphing and statistical analysis) using R, RStudio and relevant R packages.
  3. Experience of working with minimal supervision using own initiative.
  1. Ability to work co-operatively as part of a team and to learn new methods and skills.
  2. Educated to at least A-level or equivalent qualification in a relevant science.
  3. Knowledge of health and safety regulations in ecology (grassland) field and laboratory settings.
  1. Previous experience of working with the R packages vegan, lme4, and the tidyverse.
  2. Previous experience of working with databases.
  3. Previous experience of working with GIS, preferably in conjunction with R.
  4. Supervisory experience.
  5. Experience of working within ecological networks like Drought-net.