The ARIES platform supports all activities of BC3 Research Line (RL) 5 on Integrated Modelling of Coupled Human-Natural Systems. The (https://aries.integratedmodelling.org/), is a semantic web infrastructure that uses AI to build computational solutions to environmental, policy and sustainability problems. 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 environmental data, models and understanding by retrieving, evaluating, and integrating the existing information to support an effective policy-making where nature counts. Besides Ecosystem Services and Biodiversity, the RL also tackles Natural Capital Accounting, Conservation Finance, Food Security, Marine Spatial Planning, and Renewable Energy. All these products are used to inform sustainability decisions, e.g. SDGs.

Job description:

We are looking for a technical scientific modelling skills who can support research projects and the development of ARIES technical tasks.

The researcher will be participating in various activities throughout the project, such as:

• Internal coordination of the data resources used by the ARIES teamwork within BC3.
• Technical support in the development of the ARIES platform and in relation to ongoing research projects that use it, especially the MARBEFES project (https://marbefes.eu/) and its modelling, scenario, upscaling and out scaling development and application components (WP 5-6).
• Technical support in the development of the Marine Biodiversity and Valuation Toolbox to be delivered under MARBEFES project.
• Coordinating with external project partners and stakeholders.

 Key responsibilities:

• Support model development and data integration within ARIES platform.
• Support the data management and coordination within ARIES platform, especially, but not only, for the MARBEFES project.
• Technical support in relation to ongoing ARIES research activities, and particularly those related to MARBEFES.
• International travelling and participation to meetings when required.
• Presentation of main achievements at international conferences.
• Collaborate in the semantic and ontological developments of ARIES.

Main requirements/skills:

• Suitable degree for developing the tasks above (a master’s degree at minimum).
• Previous experience in R&D projects (min of 8 years)
• Excellent written and oral command of English
• Previous exposure to Open Source Software related projects.
• Experience in geospatial data processing, management and modelling.
• A working knowledge of geomatics and in particular open source GIS and standards/protocols to expose geospatial assets.
• Experience in programming (any language and in particular Python and Java).
• Ability to participate in teamwork and interact with a broad range of collaborators.
• Ability to work independently, with a diverse, multi-location and multi-lingual team.
• Experience in agile management and in particular issue and project tracking.

 Desirable requirements:

• Familiarity with ecosystem services and/or environmental modelling.
• Exposure to Git and collaborative software development technologies.
• Experience in project coordination and management.
• Excellent interpersonal and communication skills.

 Benefits and work environment:

• Interdisciplinary and inspiring work environment
• Quiet and spacious workspaces
• Possibility of participating in internal training and academic activities of the center
• 35-hour week work calendar
• 30 days of vacation per year

As an HR Excellence awarded institution, BC3 is committed to conciliating research-academic requirements and family duties. BC3 is particularly concerned with creating equal opportunities for people independently of gender, culture, and race. Anyone with relevant qualifications is therefore strongly encouraged to apply for the position.

Application procedure:

Fill the form below and upload one PDF document with the following information:

1. Curriculum Vitae (2 pages)
2. Letter of motivation of a page
3. Contact details of two referees

Deadline

30th June 2024 (CET 15:00).