Fundación Fundecyt-pctex. Procesos Selectivos. (2025081183)
Anuncio de 10 de julio de 2025 sobre oferta de Investigador Senior LCA y análisis tecno-económico.
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NÚMERO 139
Lunes 21 de julio de 2025

41707

President: David Parra Mendoza
Members of the selection
Secretary and member: Lucía Cordón Masero
body:
Member: Romain Mauger
Subtitute: Breogán Pato Doldán
Details of the selection process:
— Technical test: NO.
— Language : YES (will be evaluated during the interview).
— Job interview : YES.
Providing decision support is key to accelerating the transition to net zero
energy systems. In “LCA” and techno-economic analysis, the environmental
and economic impacts, respectively, of products and services are assessed
throughout the life cycle: resource extraction, manufacturing, technology
use and waste management. The models created should be open whenever
possible, in order to improve the quality of the science, based on increased
transparency, reproducibility and traceability.
The selected candidate is expected to perform the following tasks:
—D
 eveloping an attractive research agenda in the field of LCA and techno-economic analysis.
—C
 reation of open source LCA models of energy storage and hydrogen
technologies, linked to renewable energies.
— Integration of LCA with energy system modelling.
— Use of data monitored in pilot plants for sustainability indicators.

Tasks to be developed:

—P
 roviding recommendations to decision-makers based on modelling
results.
—C
 ollaborations with experimental researchers from CIIAE and other
research centres.
—A
 cquisition of competitive funding, both private and public, e.g. PhD
students and postdocs.
—S
uccessful collaboration with universities, research institutes and
companies at national and international level.
—S
 uccessful orientation of PhD, postdoctoral and master students, i.e.
fulfilling their own requirements.
—W
 riting publication as first author (e.g. 1 article per year in a highranking journal).
—P
 roject management and project administration (internal and external), also towards the department and CIIAE.
Challenges: There are a large number of available technologies, actors, e.g.
households and industry, as well as intrinsic uncertainty which makes LCA
and techno-economic modelling complex. There is also a lot of data generated, which makes the assessment of outcomes important for providing policy
recommendations challenging.