Engineer | Remote Sensing Data Engineer

Descrição da empresa

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.

Descrição do emprego

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

Qualificações

• 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.

Informação adicional

• 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