**Research \& Technical Responsibilities** * Design, train, and evaluate **deep learning models** (CNNs, LSTMs, GRUs, Transformer\-based architectures) for satellite image analysis, including **object detection, segmentation, and classification**. * Investigate the integration of **machine learning models with rule\-based reasoning and spatial knowledge representations**. * Develop **GeoAI Agent systems** for autonomous geospatial analysis and decision\-making. * Integrate AI models into **distributed and scalable processing environments** (e.g., Spark, Hadoop, Flink). * Contribute to **high\-throughput inference pipelines**, microservices, and production\-ready AI architectures. * Support **real\-time or near–real\-time geospatial analytics**, including streaming pipelines (e.g., Kafka). * Design and optimize **satellite image preprocessing pipelines**, including geometric and radiometric corrections, normalization, noise reduction, and **multisensor/multitemporal data fusion**. * Ensure **spatial accuracy, consistency, and quality control** across large geospatial datasets. * Collaborate closely with **senior researchers, engineers, and academic supervisors**, contributing to both industrial deliverables and scientific outputs. **QualificationsRequired Qualifications** * **Education:** Ph.D. in Geospatial Engineering, Computer Engineering, Computer Science, Remote Sensing, Artificial Intelligence, Data Science, or a related field. * **Technical Expertise:** Proven experience in **AI/ML/DL model development** (e.g., CNNs, Transformers, Random Forests) applied to **geospatial or remote sensing data**. * Experience integrating AI with **multisensor Earth observation datasets** (optical, SAR, LiDAR, multitemporal). * Familiarity with **cloud\-based or large\-scale geospatial analytics environments** (e.g., AWS, Google Earth Engine, Azure AI). * Experience in **Big Data analytics**, data fusion, and automated geospatial processing workflows. * **Programming Skills:** Strong proficiency in **Python** and deep learning frameworks such as **TensorFlow, PyTorch, or Keras**; experience with geospatial libraries and APIs (e.g., **GDAL, rasterio, scikit\-learn, OpenCV**). * **Research Experience:** Demonstrated research output through **peer\-reviewed publications, conference presentations, or technical reports**. * **Collaboration \& Communication:** Excellent written and verbal communication skills; ability to work independently and in multidisciplinary teams. **Desirable Skills** * Experience with **agent\-based AI or autonomous systems**. * Prior involvement in **EU\-funded R\&D projects** (e.g., NEOTEC, Horizon Europe, CDTI). * Experience contributing to **research proposals, grant writing, or collaborative R\&D projects**. **What We Offer** * **Global Impact:** Work on cutting\-edge GeoAI solutions supporting the energy transition, infrastructure resilience, and environmental sustainability. * **Total Flexibility:** 100% remote work with a strong focus on work–life balance. * **Collaborative Culture:** Join a dynamic, innovation\-driven team passionate about applied AI and geospatial intelligence. **Professional Growth:** Long\-term career development opportunities within a growing high\-tech company, combining academic excellence with industrial impact. Tipo de puesto: Jornada completa Sueldo: 35\.000,00€\-45\.000,00€ al año Beneficios: * Flexibilidad horaria * Jornada intensiva en verano * Jornada intensiva los viernes * Teletrabajo opcional Educación: * Doctorado (Obligatorio) Experiencia: * Inteligencia artificial: 1 año (Deseable) Idioma: * Inglés (Deseable) * Español (Deseable) Licencia/Certificación: * PhD (Obligatorio) Ubicación del trabajo: Empleo remoto