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Postdoctoral Research Associate

The University of Edinburgh - College of Science and Engineering - School of Biological Sciences - Institute of Quantitative Biology, Biochemistry and Biotechnology

Location: Edinburgh
Salary: £37,099 to £44,263 per annum, pro rata for part time (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024) (Grade 8)
Hours: Part Time
Contract Type: Fixed-Term/Contract
Placed On: 7th February 2024
Closes: 5th March 2024
Job Ref: 9559

Part-time contract: 17.5 hours per week with flexible working arrangements

Fixed-term: end date of 13th February 2029

We are looking for an independent and motivated PhD level graduate in the social sciences to study the use of synthetic biology in environmental applications, exploring the social, ethical, and environmental dimensions of Engineering Biology to inform decision-making and promote the integration of research advances within the broader context of environmental biotechnology.

This post is advertised as part-time (0.5fte, 17.5 hours per week) and we are open to considering flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working. 

The Opportunity:

The successful applicant will assess the potential of synthetic biology in environmental applications. The project will seek to understand the social, economic and environmental impacts of research undertaken in this area. A key aspect of this post will be to ensure this social scientific research informs development of engineering biology for environmental solutions.    

Your skills and attributes for success: 

  • A PhD (or equivalent) in Science and Technology Studies (STS) or cognate field, with training or skills relevant to the project
  • Experience in conducting surveys as well as qualitative interviews and focus groups
  • Knowledge of responsible research and innovation, and its application within a biological and/or engineering context
  • Expertise in relevant data gathering methods and analytical techniques
  • Effective data management and document control
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