We are an Engineering and Product Development Center that conceives, develops, and productises new technologies, products and services towards a more sustainable society.

We work by bridging together cities, industry and universities around large programs of development and industrialisation of products and services, from Portugal, in high-tech sectors such as space, mobility and aeronautics.

This opportunity is for an Remote Sensing Data Engineer (m/f/d) to be integrated in the geoSystem team, to develop and productise algorithms and tools for geospatial data management.

The successful candidate will integrate CEiiA geoSystems team, working in the following activities:

1. Contribute to the development and testing of software for satellite systems;
2. Assess and understand algorithms for processing satellite data, including characterization of geometric and radiometric errors;
3. Contribute to the implementation of software for processing optical satellite data;
4. Assess and implement satellite instruments calibration methods;
5. Support verification and validation campaigns for multi-satellite Ground Segment software.

More generally, the selected candidate will face the following challenges:

• Explore technologies and algorithms for geospatial data handling;
• Learn and implement techniques for collating and cleaning of data from various entities and providers;
• Integrate CEiiA geoSystems team to contribute for the successful completion of product development milestones;
• Benchmark the analytics performance of data processing algorithms;
• Evaluate and employ statistical and modelling procedures for cross-validating data processing models;
• Contribute to the production of technical papers

• Master degree in Geospatial, Physics, Aerospace or Environmental Engineering, Mathematics or related areas;
• Proficiency in Python and corresponding AI/ML libraries;
• Knowledge in unsupervised, supervised, semi-supervised and transfer-learning techniques;
• Excellent analytic capabilities;
• Understanding of algorithms for geospatial data;
• Be able to develop solid numerical tools for handling geospatial data; 
• Although no previous work experience is required, knowledge of geospatial data and programming languages is expected;
• Strong capabilities for learning and applying new technologies in innovative and creative ways;
• The ideal candidate should be highly motivated to work in a dynamic team environment, alongside data scientists and engineers;
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork;
• Proficiency in english;
• Solid communication skills.

• Working in a relaxed and positive environment alongside a dynamic, multidisciplinary team
• We facilitate and promote a balanced and healthy lifestyle, articulating work with the personal life
• Health insurance
• Partnerships with gyms, amongst others
• Until three additional vacation days
• Birthday off