The Institute of Marine Sciences (ICM) is the largest marine research centre of the Spanish National Research Council (CSIC). It is also the first marine science centre to be accredited as a Severo Ochoa Centre of Excellence, a recognition to the institution’s leadership in the field of marine research in Spain and to its commitment to create social impact.
Our goal is to develop research of excellence to inspire a society in harmony with the blue planet, in line with the values of the United Nations Decade of Ocean Science for Sustainable Development (2021-2030). For further information, please visit our website.
About the role and the team
We are looking for an enthusiastic and motivated researcher or research engineer to join the Marine Geosciences Department at the ICM-CSIC and contribute to several ongoing and upcoming projects focused on offshore environmental monitoring using distributed acoustic sensing (DAS).
The selected candidate will work with DAS observations acquired on submarine fibre-optic cables in the western Mediterranean, contributing to the development of new approaches for monitoring physical processes across the solid Earth, water column, and atmosphere-ocean interface.
Research activities combine acoustics, signal processing, scientific computing and large-scale data analysis, with applications ranging from natural-hazard detection to marine environmental monitoring and offshore infrastructure observation.
The successful candidate will join a collaborative research environment bringing together expertise in marine observations, fibre-optic sensing and computational methods.
Job description
The selected candidate will contribute to the operation, processing and scientific exploitation of continuous DAS data acquired on submarine fibre-optic cables. The projects involve real-time observations acquired at operational offshore observatories in the western Mediterranean.
Main tasks include
- Processing and analysis of DAS data acquired on submarine fibre-optic cables
- Detection and characterization of seismic, acoustic and environmental signals
- Development and adaptation of signal-processing workflows for noisy offshore environments
- Organization, quality control and management of large DAS datasets
- Development of computational tools for data processing, visualization and interpretation
- Contribution to scientific publications, technical reports and conference presentations
- Interaction with project partners and participation in collaborative research activities
- Depending on the candidate profile, the work may also involve the development of automated detection or classification approaches based on machine learning methods.
- Expected background and skills
- Degree in Physics, Mathematics, Telecommunications Engineering, Data Science, or related disciplines
- Experience with scientific programming in Python or similar environments
- Experience in acoustics, signal processing, and/or large-scale data analysis
- Interest in environmental monitoring and interdisciplinary scientific applications
- Ability to work both independently and collaboratively within an international research environment
The offer
- Full-time contract with funded secured for 2 years.
- Salary commensurate with qualifications and experience, consistent with CSIC pay scales.
- Potential for contract extension depending on project evolution and funding availability
- Candidates interested in shorter-term positions are also encouraged to apply
- Measures at work place to reconcile work and family life (flexible scheduling working hours, partial remote working). Read more about work-life balance at CSIC here.
- Highly stimulating environment with support services and professional guidance to enhance career development.
The CSIC and all its research centers were awarded with the "HR Excellence in Research" seal in 2021. This recognition reflects our commitment to continuously improve our human resources policies in line with the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers. Recruitment at ICM (CSIC) is open, transparent and merit-based, and all applicants compete on the same terms.
Application procedure
If you would like to join our team, please send your CV to Arantza Ugalde: a.ugalde@icm.csic.es
Applications will be reviewed upon reception and shortlisted candidates will be invited for an interview. The selected candidate will be managed through the CSIC’s Labour Exchange, which requires an equivalence request for degrees obtained abroad.