Postdoc in Accounting of Social and Natural Capital
The Basque Centre for Climate Change (BC3) offers a full-time postdoctoral scientist position in order to support the research activities of Research Line (RL) 5 on Integrated Modelling of Coupled Human-Natural Systems, supported by the IKUR programme of the Basque Government on Supercomputing and Artificial Intelligence (HPC/AI).
The RL generates multidisciplinary scientific knowledge from human-nature interdependence to address complex sustainability problems through artificial intelligence (AI). The goal of the RL is to provide data, models and understanding by retrieving, evaluating and integrating the existing information in order to support an effective policy-making where nature counts.
During the past decade, the RL has envisioned and built the ARIES (ARtificial Intelligence for Environment and Sustainability (https://aries.integratedmodelling.org/) platform, a technology that integrates network-available data and model components through semantics and machine reasoning. Its underlying open-source software (k.LAB, https://docs.integratedmodelling.org/technote/) handles the full end-to-end process of integrating data and with multiple model integration types.
In 2021, the UN Statistical Commission adopted the SEEA Ecosystem Accounting (SEEA EA) as an international statistical standard and encouraged countries to implement the SEEA EA. A global SEEA EA implementation strategy has been developed to rapidly expand the number of countries compiling natural capital accounts (NCA) based on the SEEA. The overall implementation strategy includes capacity building, development and guidelines, strengthening collaboration as well as development of supporting data and tools. The development of ARIES for SEEA, a collaboration between the United Nations Statistical Division (UNSD) and BC3, started in April 2020. Its development is undertaken by a Sector Hub, which reports to the UN Committee of Experts on Big Data and Data Science for Official Statistics, and which collaborates on the UN Global Platform, a cloud-service platform supporting international collaboration in the development of official statistics using new data sources and innovative methods.
Job description: Candidates will:
Contribute to the ARIES platform, and its applications in accounting at different scales of application – e.g. businesses, regions ad nations – and in different domains of knowledge, e.g. from social to natural capital.
Have backgrounds and interests in the broad areas of Statistics ranging from theoretical focus to applications of Statistics in various domains in Engineering, Management, Science, Life Science and Social Science. Duties will include performing independent research in statistics and leading activities within the ARIES mission.
Work with external collaborators, including UNSD, and statistical agencies to that the innovation and research means developed are well aligned with accounting standards.
Wide experience in statistical modelling: a combination of theoretical and empirical experience is well appreciated.
Demonstrated experience in the collection, compilation, analysis and dissemination of official statistics, including environmental-economic accounts, and/or proven track record on environmental analysis and policy research is desirable.
Awareness of optimization techniques and experience with different problems and domains, ideally in spatial applications.
Familiarity with traditional Machine Learning models (k-means, KNN, decision trees, SVM, Bayesian/graphical models, Gaussian process, etc.).
Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git) – candidates with experience using multiple toolkits or platforms are preferred.
Handling of large data sets and models on distributed file systems.
Additional experience/skills required:
A PhD in Statistics, Computational Social Science, Computer Science, Physics, Mathematics, Engineering, Geography or other fields relevant to the position.
Strong analytical skills and an ability to learn quickly and to think outside the box. Our work is very innovative and you should expect your job to be as intellectually challenging as rewarding. A strong motivation and a desire to learn and explore new technologies are a must.
Programming ability in any language, particularly Java, is considered an asset.
Excellent interpersonal and communication skills.
Excellent written and oral command of English.
Ability to work independently, with a diverse, multi-location and multi-lingual team.