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Postdoc in Accounting of Social and Natural Capital

Job Summary

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.

Job Description

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.

Desired skills:

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.

Benefits

Comment/web site for additional job details

https://info.bc3research.org/2023/03/07/postdoc-in-accounting-of-social-and-natural-capital/