
Postdoctoral Position in Sustainable Development
Há 7 dias
Researcher in Knowledge Representation
We are seeking a skilled researcher to join our team and contribute to the development of conceptual descriptions of offshore production chains using knowledge representation techniques.
This is an excellent opportunity for a motivated individual with expertise in computing, applied mathematics, physics, statistics, or electrical/electronic/industrial engineering to work on a challenging project.
The successful candidate will be responsible for developing mathematical tools for quantitative assessment of greenhouse gas emissions along production chains, conducting case studies, and supporting the implementation of developed systems.
In this role, you will work closely with our team to advance our understanding of environmental parameters and their impact on production chains.
To be eligible for this position, you must have a PhD in a relevant field obtained less than seven years ago and experience in knowledge representation, such as ontologies or metadata, and Python programming.
You should also be proficient in academic and professional writing and able to communicate complex ideas effectively.
As a member of our team, you will receive a competitive fellowship and a research contingency fund to support your research activities.
We encourage applications from candidates of any nationality who are passionate about contributing to sustainable development.
Job Requirements- PhD in Computing, Applied Mathematics, Physics, Statistics, Electrical/Electronic/Industrial Engineering (obtained less than seven years ago)
- Experience in knowledge representation, such as Ontologies or Metadata, and Python programming
- Academic and professional writing skills
- Effective communication skills
We offer a competitive fellowship and a research contingency fund to support your research activities.
Working EnvironmentYou will work within the scope of the Offshore Technology Innovation Center, an Engineering Research Center supported by the São Paulo Research Foundation in partnership with Shell Group and hosted by the University of São Paulo's Engineering School in São Paulo city, Brazil.
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