Sustainability Post Doctoral Researcher


Closes in 7 days (23 Aug)


Temporary Externally Funded Non Grant-in-Aid contract post, the indicative duration of which is 50 months, subject to contract.  A panel may be formed from which future similar vacancies may be filled; such a panel will remain active for a maximum period of 12 months.


Basic Function

To model the greenhouse gas emissions from beef cattle production reflecting advances in beef cattle breeding, research findings pertaining to enteric fermentation emissions from beef cattle and novel information on the nutritional characteristics of beef meat.

Teagasc are seeking to appoint a highly motivated post doctoral researcher to support the beef systems modelling research programme at Grange. This post doctoral position is funded by Meat Technology Ireland (MTI), a unique project, co-funded by Enterprise Ireland, industry and hosted by Teagasc. While reporting to the hiring manager, they will work directly with the MTI Research & Innovation Project Manager and participating company leads, to ensure research outputs from the Centre are seamlessly transferred and embedded in the MTI member companies. The candidate will be required to act within the MTI Memorandum of Understanding governing the management of confidential information. The candidate will be required to contribute to identifying opportunities and formulating solutions to facilitate progress for the participant companies and researchers involved.


Background to this Project

The objectives of this post doctoral position are to quantify the carbon footprint of beef meat that reflects revised coefficients based on advances in breeding and novel data on the nutritional characteristics of beef meat. Ongoing research is quantifying emissions from enteric fermentation in beef cattle with a major focus on emissions during grazing. The objective is, for the first time, to measure emissions from a representative range of beef cattle breeds incorporating suckler beef cows and suckler and dairy beef progeny across the entire life cycle. These new data will be incorporated into a life cycle analysis of GHG emissions from beef cattle production systems. Given the concomitant importance of farm level economics, model outputs will include assessments of farm profitability thus permitting a carbon cost of beef meat cuts to be evaluated.


Background to the Teagasc Post Doctoral Training Programme

The Teagasc post-doctoral programme provides training and development opportunities for early career scientists which enhances their experience of learning and equips them with the necessary skills for the next stage of their chosen career in research. The PD Fellow will, while working in conjunction with senior research staff, gain insight and experience into a variety of areas including the processes of project and budgetary management, publishing in peer-reviewed academic journals, writing grant applications, and attracting external funding; the development of active collaboration with relevant national and international research communities; the development of communication and presentation skills, leadership and management skills, and overall career development.


Job Objectives

Duties & Responsibilities specific to this project:

  • Collation of data pertaining to advances in animals breeding, beef meat nutritional characteristics and global warming potential metrics.
  • Analysis of the greenhouse gas emissions and economics of beef cattle production systems.
  • To interpret research findings and prepare scientific and popular press publications.
  • To disseminate research findings to a variety of audiences as appropriate.
  • To assist Teagasc in meeting the commitments of the Quality Customer Service Charter and action plan.
  • To comply with all relevant Teagasc policies and procedures.
  • Assist the MTI Research & Innovation Project Manager in directing the assigned MTI projects. 
  • Report and discuss progress updates to the MTI Director and participate where required, on the Research Project Management Group (RPMG).
  • Actively participate in the annual MTI business planning and Performance Management Development System (PMDS) processes (Teagasc).
  • Fully co-operate with the provisions made for ensuring the health, safety and welfare of themselves, fellow staff and non-Teagasc staff and co-operate with management in enabling Teagasc to comply with legal obligations. This includes full compliance with the responsibilities outlined in the Safety Statement.
  • To actively participate in the Teagasc Post Doctoral Fellowship programme and review processes, and to undertake all Post Doctoral fellowship training and associated duties as agreed in the Training & Development Plan
  • To take up additional duties as they may arise and be assigned by management.


Skills Required

This section outlines the qualifications, skills, knowledge and/or experience that the successful candidate would be required to demonstrate for successful discharge of the responsibilities of the post.  Applications will be assessed on how well candidates satisfy these criteria.


  • PhD in science, environmental, or engineering based discipline.
  • Relevant research experience not to exceed 3 years’ post-PhD.
  • Understanding of Irish beef cattle production systems and genetic factors influencing cattle performance.
  • Demonstrable research and technical expertise in modelling agricultural or biological systems.
  • Evidence of research activity (publications, conference presentations, awards) and future scholarly output (working papers, research proposals etc).
  • Excellent project management, analytical, report writing and data analysis skills.
  • An ability to work on own initiative and to collaborate with team members and PhD students to help build research knowledge and skill and to guide professional development.
  • Excellent communication skills (oral, written, presentation) with an ability to enable effective knowledge and technology transfer.
  • Ability to generate new ideas, unique concepts, models and solutions.



  • Experience in farm systems modelling.
  • Experience in setting own research agenda.
  • Evidence of teamwork and collaboration with relevant partners.