Postdoc in artificial-intelligence methods for climate action

Royal lnstitute of Technology

Sweden

October 11, 2022

Description

Job description

In recent years, a number of methodologies have been developed to explore connections across Sustainable Development Goals. At KTH researchers have been developing methods for such purpose, for instance looking at how AI, Climate Change and Action, and Energy relate to the Sustainable Development Goals Targets (see suggested references below). The Postdoc employed with this position is expected to integrate AI in the methods for exploring interlinkages across SDG targets. 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 employment at the Department of Engineering Mechanics and the KTH Climate Action Centre.

The KTH Climate Action Centre is a highly collaborative, research-focused and unbiased centre uniting changes in technology, policy and society. 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.

Suggested references/readings for this position (please pay special attention to the supplementary material, that shows an example of the analyses that we want to recreate with NLP methods):

  • Vinuesa, R. et al. The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications 11 , 1–10 (2020).
  • Fuso Nerini, F. et al. Connecting climate action with other Sustainable Development Goals. Nature Sustainability 2 , 1 (2019).
  • Fuso Nerini, F. et al. Mapping synergies and trade-offs between energy and the Sustainable Development Goals. Nature Energy 3 , 10–15 (2018).
  • Fuldauer, L. I. et al. Targeting climate adaptation to safeguard and advance the Sustainable Development Goals. Nature Communications 2022 13:1 13 , 1–15 (2022).
  • What we offer
  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH
  • You will become part of a multi-disciplanary research team performing highly experienced in data-driven methods and sustainability
  • Opportunity of personal development and grow the national and international research network
  • Read more about what it is like to work at KTH

    Qualifications

    A suitable background for this position would be a PhD (completed in the last three years) in Sustainability/Energy Systems, Computer Science with a specialization in data-driven methods, computational methods or similar. 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 as possessing good levels of cooperative and communicative abilities.

    Requirements

  • A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made
  • Proficient in English language
  • Relevant published work in the field of digitalization and/or sustainability and climate action
  • Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Independence and research leadership
  • Knowledge on sustainability- and climate- related themes
  • Knowledge on artificial-intelligence-based methods, in particular natural- language processing (NLP)
  • Excellent English communication skills, both written and oral
  • Teaching abilities, as well as awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Great emphasis will be placed on personal competency.

    Trade union representatives

    You will find contact information to trade union representatives at KTH's webbpage.

    Application

    Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

  • Statement of professional interest
  • CV with list of publications
  • Transcripts from university/university college
  • Contact information for at least two references
  • PhD thesis and two selected scientific papers (in pdf format)
  • 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).

    About the employment

    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.

    Others

    Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

    For information about processing of personal data in the recruitment process please read here.

    We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

    Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

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