The Basque Centre for Climate Change (BC3) offers a full-time position as Software Developer & Cloud Services in order to support the research activities of Research Line (RL) 5 on Integrated Modelling of Coupled Human-Natural Systems.
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 in order to support an effective policy-making where nature counts. Besides Ecosystem Services, the RL also tackles Natural Capital Accounting, Food Security, Marine Spatial Planning, and Renewable Energy.
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 to predict complex change. It also supports selection of the most appropriate data and models using cloud technology and following an open data paradigm: the resulting insight remains open and available to society at large, and becomes a base for further computations, contributing to an ever-increasing knowledge base. For the first time, it is possible to consistently characterize and publish data and models for their integration in predictive models, building and field-testing technologies that have eluded researchers to date.
We are looking for an individual who can support strategic activities related to integrated data science and collaborative, integrated modelling on the semantic web (semantic meta-modelling).
The selected candidate will:
Contribute to the ARIES (ARtificial Intelligence for Environment and Sustainability) platform, a semantic web infrastructure that uses artificial intelligence (AI) to build computational solutions to environmental, policy and sustainability problems. This technology, based on machine reasoning, machine learning, distributed computing and high-performance, multi-disciplinary and multi-paradigm system modelling, is the flagship product of the Integrated Modelling Partnership (IMP) which is expected to serve a growing number of worldwide users (from academia, governments, NGOs and industry) in the years to come.
Implement continuous deployments and maintain IT infrastructure
Automate software builds, code changes and deployments whenever possible
Troubleshoot, debug and communicate solutions to the development team
Responsible for web services and communication tools used by the internal and external team members
Create new functions and features in the K.Lab framework
Experience deploying containerized workloads in virtual environments
Docker, Vsphere, Linux or other orchestration systems skills
Jenkins, Github Actions or other build automation tools
Familiarity with Java, the Spring Framework and debugging tools
General Linux administration and scripting experience
Understanding of distributed systems and the communication between services
Term of contract
he position will be for a period of at least 1 + 1 years starting in January 2022, with a probation period of 4 months based on the performance of the work. Excellent opportunities for longer term employment upon successful performance.
The position will carry competitive salary, matching the academic and professional profile of the applicant, and excellent work conditions.
Basque Centre for Climate Change, Leioa, 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 people. Women with relevant qualifications are therefore strongly encouraged to apply for the position.
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
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