Researcher in Computer Engineering & Remote Sensing in Universidad de Las Palmas de Gran Canaria – Spain

Summary

The Universidad de Las Palmas de Gran Canaria (ULPGC) is hiring a First Stage Researcher (R1 / ICP2) within the Image Processing and Remote Sensing Group at the Institute of Oceanography and Global Change (IOCAG). This full-time, temporary position is funded by the Canary Islands Agency for Research, Innovation and Information Society (ACIISI) under the DEEPISLANDS project, running until September 30, 2028. The selected researcher will focus on technical implementation, programming, and validation of remote sensing image processing methods to evaluate climate change vulnerability in island ecosystems. Applicants must hold a Master's degree in Telecommunications Engineering, Computer Engineering, or related fields, possess experience in multispectral/hyperspectral image processing and machine learning, and hold a strong command of English. Work is located at the Tafira Campus in Spain.

Key Facts

Department	Institute of Oceanography and Global Change (IOCAG)
Position Type	Researcher
Discipline	Computer Engineering
Research Area	Remote Sensing
Degree Required	Master's Degree in Telecommunications Engineering, Computer Engineering, or related fields
Experience	Practical background in digital processing of multispectral/hyperspectral imagery, proficiency in Python or MATLAB and remote sensing software, plus demonstrated experience in implementing/validating deep learning models for remote sensing supported by JCR-indexed publications.
Funding	DEEPISLANDS project funded by the Canary Islands Agency for Research, Innovation and Information Society (ACIISI)
Contract Duration	Until 30 September 2028
Language	English
Employer Address	Tafira Campus, Las Palmas de Gran Canaria, Spain

About the Project

The DEEPISLANDS project focuses on analyzing climate change vulnerability in island ecosystems using high-resolution multiplatform remote sensing. The project employs multispectral, multitemporal, and multiresolution satellite, drone, and in-situ data to generate scientific products, map benthic habitats and coastal bathymetry, monitor vegetation, and develop climate indicators.

Key Responsibilities

• Collect and process satellite, drone, and in-situ remote sensing data, applying radiometric, atmospheric, and reflectance corrections.
• Implement physical models and machine learning/deep learning algorithms to estimate coastal bathymetric maps.
• Develop AI and image processing techniques to classify benthic habitats and seabed types.
• Process multiresolution imagery using ML/DL models to identify plant species and monitor phenology.
• Program multitemporal algorithms to detect environmental alterations and calculate spatiotemporal correlations for climate indicators.
• Develop and maintain the project's GeoViewer web interface, support field data collection, and assist with deliverables and reports.

Required Skills

• Proficiency in Python or MATLAB and remote sensing software such as ArcGIS, ENVI, QGIS, or Lidar360.
• Practical background in digital processing of multispectral and hyperspectral imagery in terrestrial and marine-coastal environments.
• Demonstrated experience implementing and validating deep learning models for remote sensing, supported by scientific publications in JCR-indexed journals.
• Excellent command of English.

Who Should Apply

Candidates holding a Master's degree (MECES 3) in Telecommunications Engineering, Computer Engineering, Remote Sensing, Earth Observation, or Climate Change with expertise in Python/MATLAB, remote sensing tools, deep learning applications, and peer-reviewed publication history in JCR-indexed journals should apply.

Benefits

• Full-time schedule of 37.5 hours per week (Monday to Friday, 08:00–15:30).

About the Employer

The Universidad de Las Palmas de Gran Canaria (ULPGC) hosts the Image Processing and Remote Sensing Group within its Institute of Oceanography and Global Change (IOCAG).

Frequently Asked Questions

What qualification is required for this position?

Applicants must hold an official Master's Degree or equivalent (MECES 3) in Telecommunications Engineering, Computer Engineering, Remote Sensing, Earth Observation, or Climate Change.

What is the duration of the contract?

The contract is temporary, full-time (37.5 hours per week), and linked to the project execution until September 30, 2028.

Where is the job located?

The role is located at the Tafira Campus of Universidad de Las Palmas de Gran Canaria, in Las Palmas de Gran Canaria, Canary Islands, Spain.