Benedikt Soja

ETH Zurich is advertising a Postdoc in Resilient Satellite Navigation (GNSS) in Zurich, Switzerland, within the Chair of Space Geodesy led by Prof. Benedikt Soja . The project focuses on resilient navigation for challenging environments, including jamming , spoofing , and signal interference, with an emphasis on GNSS processing , multi-sensor fusion , Factor Graph Optimization , and AI/ML methods for positioning, navigation, and timing (PNT). The successful candidate will lead GNSS-based research, support existing projects, develop navigation software, implement sensor-fusion strategies, and contribute to real-time GNSS processing and anomaly detection. The role also includes academic leadership through publications, grant preparation, and teaching/supervision support for the lectures GNSS and Navigation , as well as supervision of PhD and Master students. Eligibility highlights: a PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field; strong GNSS data analysis and programming skills (Python/C++); fluency in English; and CH/EU/EFTA citizenship or a valid Swiss work permit. German proficiency and experience with FGO, multi-sensor fusion, or AI/ML are advantageous. Funding and contract: this is a 100% postdoc position (or Established Researcher/Oberassistent for candidates with an advanced track record), offered on a fixed-term 2-year contract with possible extension. Salary and benefits follow ETH Zurich standards. Application: submit a complete online application including a motivation letter, CV, publication list, transcripts/certificates, and two referees. ETH Zurich states that only complete applications via the online portal will be considered. Applications are reviewed starting 20 April 2026 , and the position remains open until filled.

ETH Zurich is advertising a Lead Postdoc Opportunity in Resilient Satellite Navigation, GNSS, Positioning, Navigation, and Timing (PNT), and AI within the Chair of Space Geodesy , led by Prof. Benedikt Soja . The project focuses on building navigation systems that remain robust under jamming and spoofing, using multi-sensor fusion , factor graph optimization (FGO) , and machine learning / AI methods. The research mission includes developing next-generation navigation software for challenging environments, real-time detection and mitigation of interference, and integration of low-cost to high-grade GNSS hardware and simulators such as Spirent. This is a strong fit for candidates interested in geodesy , geomatics , aerospace engineering , signal processing , computer science , and electrical engineering topics related to resilient navigation and satellite systems. Eligibility highlights: applicants should hold a PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field. Strong GNSS data processing skills and programming ability in Python and C++ are required. Experience with FGO, sensor fusion, or AI/ML is considered an advantage, and fluency in English is expected. Funding and contract: the role is a postdoc or established researcher (Oberassistent) position with an initial 2-year contract and the possibility of extension. ETH Zurich indicates competitive salary and benefits, along with access to world-leading Swiss GNSS infrastructure, flexible working hours, and home office options. Application: submit the application via the ETH Zurich online portal. Prepare a motivation letter (1 page), CV and publication list, transcripts and certificates, and contact details for two referees. For scientific questions, contact Prof. Benedikt Soja at [email protected].