Natural Capital Accounting (NCA) Technical Officer


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The Basque Centre for Climate Change (BC3) is looking for candidates who can support its strategic activities related to integrated data science and collaborative, integrated modeling on the semantic web. The selected candidates will contribute to the ARIES (ARtificial Intelligence for Ecosystem Services) project powered by the k.LAB software stack, a semantic web infrastructure that uses artificial intelligence to build computational solutions to environment, policy and sustainability problems.

A scientific/technical project officer (predoctoral or postdoctoral) position in modelling ecosystem services and delivering Natural Capital Accounting analyses. The candidate should have a strong background in ecosystem services, environmental-economic accounting, particularly the U.N. System of Environmental-Economic Accounts.

 

Key responsibilities:

  1. Collaborate in building, evaluating and delivering global integrated models within the ARIES platform;
  2. Collaborate in building, evaluating and delivering the main types of U.N. System of Environmental-Economic Accounts ecosystem accounts (extent / condition/ services physical / services monetary) using the ARIES platform.
  3. Collaborate in developing new Natural Capital Accounting dedicated toolboxes within the ARIES platform.
  4. Assist and teach in training and educational activities connected with Natural Capital Accounting and the ARIES project, including worldwide case studies;
  5. Publish high-impact, peer-reviewed research in international scientific journals in natural resource economics and environmental decision-making.

Main requirements:

  1. The applicant must have a degree in ecology, geography, economics, engineering, or other fields of relevance to ecosystem services and Natural Capital Accounting. A strong background in computational modelling is required, along with working knowledge of GIS and OGC standards.
  2. Expertise in environmental-economic accounting and ecosystem accounting, familiarity with frameworks such as the System of National Accounts (SNA). Familiarity with the System of Environmental Economic Accounting (SEEA) Experimental Ecosystem Accounting.
  3. The applicant must have excellent interpersonal and communication skills. Excellent written and oral command of English is required. An ability to work in teams and experience in the use of collaborative software platforms and distributed version control systems are necessary.

What we offer:

  • A labour contract in line with the candidate’s skills and experiences, including full social benefits.
  • A stimulating work environment in the context of the innovative Integrated Modelling research line within BC3.
  • 30 days of vacations per year beyond festivities.
  • Flexible working hours and partial teleworking.
  • Relocation assistance.
  • The thriving urban environment of Bilbao and the spectacular nature of the Basque Country.

Term of contract

The position will be for a period of 2 years (with possible extension)

Salary

The position will carry competitive salary, matching the academic and professional profile of the applicant, and excellent work conditions.

Location

Basque Centre for Climate Change (BC3), Biscay (Spain).

As a HR Excellence awarded institution, BC3 is committed to conciliate research-academic requirements and family duties. BC3 is particularly concerned with creating equality opportunities for women and men. Women with relevant qualifications are therefore strongly encouraged to apply for the position.

 

Interested candidates should send their CV and motivation letter, in English, by electronic mail to us (hr@bc3research.org) noting in the subject of the message “NCA Technical Officer”.

Informal enquiries can be made to Prof. Ferdinando Villa (ferdinando.villa@bc3research.org), and Stefano Balbi (stefano.balbi@bc3research.org). All information received during this process will be handled confidentially.

Deadline

December 31, 2019

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María de Maeztu Excellence Unit 2023-2027 Ref. CEX2021-001201-M, funded by MCIN/AEI /10.13039/501100011033

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