Post by BrianSpace

🇸🇪 𝐏𝐡𝐃 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲: 𝐀𝐈 𝐟𝐨𝐫 𝐄𝐚𝐫𝐭𝐡 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐭𝐢𝐨𝐧 𝐚𝐭 𝐊𝐓𝐇 𝐑𝐨𝐲𝐚𝐥 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐨𝐟 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐒𝐰𝐞𝐝𝐞𝐧 The Division of Geodesy and Geoinformatics at KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for a 100% full-time PhD position in Artificial Intelligence for Earth Observation. This doctoral research will focus on advancing AI-driven Earth Observation (EO) methods for environmental intelligence. 🔬 Research Themes & Tasks The selected candidate will explore cutting-edge AI and machine learning approaches to analyze multi-modal, multi-temporal, and multi-resolution satellite imagery alongside geospatial data. 📋 Candidate Profile Admission Requirements: Education: A Master's degree in Geomatics, Computer Science, Electrical Engineering, or related natural sciences/engineering disciplines. Must meet standard basic eligibility for Swedish postgraduate education. Core Skills: Strong proficiency in image analysis, computer vision, pattern recognition, and machine learning/deep learning, backed by a solid data science background. Programming & Languages: Proficient coding skills in Python, C++, and Matlab. Candidates must demonstrate fluent spoken English and excellent scientific reading/writing skills, fulfilling the mandatory English B/6 requirement. Assets: Prior experience working with generative AI or geospatial foundation models is highly valued. 📅 Contract, Benefits & Timeline Location: KTH Campus, Stockholm, Sweden. Duration: The position is for a maximum 4-year full-time equivalent doctoral contract, structured to target a Licentiate degree within an initial two-year employment period. Contracts are renewed sequentially. Up to 20% of the role may include training or departmental administration. Compensation: Monthly salary paid in accordance with KTH’s official Doctoral student salary agreement, featuring extensive employee benefits. Application Deadline: July 9, 2026 (Midnight CEST). 📩 How to Apply Applications must be submitted electronically through the KTH recruitment system under reference number PA-2026-1857. Your complete application portfolio must include: Certified copies of diplomas, transcripts, and official language certificates (with English or Swedish translations if necessary). A comprehensive CV detailing professional and academic experience. An application letter (maximum 2 pages) describing your academic interests, motivation, and how they relate to your future goals. Representative publications or technical reports (with abstracts and links for longer documents). For scientific or administrative questions, contact Prof. Yifang Ban directly at [email protected]. For more information, see link in comment section.