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The goal of this project is to use a number of artificial-intelligence-based methods, in particular natural-language processing (NLP), to perform a thorough assessment of the literature with the aim of determining synergies and tradeoffs among the Sustainable Development Goals (SDGs) and their targets. The focus is on finding more robust and less obvious connections among SDGs. Using SDG 13 on climate action as entry point, the final goal is to develop a framework for data-driven decision making for policy, with the aim of maximizing the synergies within SDGs. The selected researcher will have a joint appointment at the Department of Engineering Mechanics (https://www.kth.se/en/sci/tekmek/institutionen-for-teknisk-mekanik-1.948703) and the KTH Climate Action Centre (https://www.kth.se/climateactioncentre/start-kth-climate-action-centre-1.1085675).
The researcher will become part of the VinuesaLab research group (https://www.vinuesalab.com), where he/she will have the possibility to interact with several related projects dealing with numerical data, and deep-learning models. Furthermore, he/she will also have access to the multi-peta scale supercomputing facilities available at KTH, in conjunction with the Swedish e-Science Research Centre (SeRC, www.e-science.se). Finally, the researcher will become part of the excellent research environment FLOW (www.flow.kth.se).
The KTH Climate Action Centre is a highly collaborative, research-focused and unbiased centre uniting changes in technology, policy and society with:
Research projects within this postdoctoral position will be developed with a variety of partners to the Climate Action Centre, such as international and national agencies working with digitalization and climate action, and the private sector.
He/she will be part of a vibrant multidisciplinary group, and will be able to conduct cutting-edge research with important policy implications. The candidate will be also actively contributing to the digitalization & climate theme at the KTH Climate Action Centre. The candidate will work closely with Profs. Ricardo Vinuesa and Francesco Fuso-Nerini.
Read more about what it is like to work at KTH
A suitable background for this position would be a PhD (completed in the last five years) in Sustainability/Energy Systems or Computer Science with a specialization in data-driven methods, computational methods. In addition to the traditional academic merits, a relevant degreeproject, international experience, and language skills are regarded as advantageous qualifications. Applicants must possess the ability to work independently and perform critical analysis as well aspossessing good levels of cooperative and communicative abilities.
Requirements
Preferred qualifications
Great emphasis will be placed on personal competency
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Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | S-2022-0766 |
Contact |
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Published | 07.Apr.2022 |
Last application date | 15.May.2022 |