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Benedikt Soja

Professor at ETH Zürich

ETH Zürich

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Switzerland

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Research Interests

Aerospace Engineering

20%

Statistics

10%

Earth Science

20%

Geodesy

20%

Mathematics

20%

Sensor Fusion

20%

Geomatics Engineering

20%

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Positions2

Publisher
source

Benedikt Soja

University Name
.

ETH Zürich

Postdoc in Resilient Satellite Navigation (GNSS)

ETH Zürich invites applications for a Postdoc in Resilient Satellite Navigation (GNSS) within the Chair of Space Geodesy, led by Prof. Benedikt Soja. This position is ideal for researchers passionate about advancing navigation technologies to address the challenges of signal interference, jamming, and spoofing. The team is recognized for pioneering work in machine learning applications for Positioning, Navigation, and Timing (PNT) and geomonitoring, including signal characterization and anomaly detection. The successful candidate will lead GNSS-based research, focusing on developing next-generation navigation software and multi-sensor fusion strategies. Responsibilities include software development using Factor Graph Optimization, implementing sensor fusion, advancing real-time GNSS processing for resilience, integrating AI/ML concepts, and working with both high-grade and low-cost GNSS equipment. The role also involves academic leadership, co-authoring publications, grant application preparation, and supporting teaching and supervision of PhD and Master students. Applicants must hold a PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field, with proven GNSS data analysis and processing experience. Strong programming skills (Python, C++) and fluency in English are required. Experience with Factor Graph Optimization, multi-sensor fusion, or AI/ML applications is advantageous. CH/EU/EFTA citizenship or a valid Swiss work permit and proficiency in German are preferred. Candidates should possess strong analytical and problem-solving skills, be comfortable in interdisciplinary teams, and be self-motivated and curious about emerging AI technologies. ETH Zürich offers unique access to GNSS networks, independent research opportunities, a dynamic and international team, and a supportive environment fostering professional growth. Salary and benefits are according to ETH Zurich standards, with flexible working hours and the option for part-time home office. The initial contract is for 2 years, with the possibility of extension. The ideal starting date is 1 July 2026 or earlier. ETH Zürich is a world-leading university specializing in science and technology, renowned for excellent education, cutting-edge research, and a commitment to diversity and sustainability. The university promotes equality of opportunity and a climate-neutral future. Applications must be submitted online via the ETH Zurich application portal, including a motivation letter, CV, list of publications, transcripts, certificates, and contact details of two referees. Applications via email or postal services will not be considered. Evaluation begins 20 April 2026 and continues until the position is filled. For questions, contact Prof. Benedikt Soja at [email protected] (questions only).

Publisher
source

Benedikt Soja

University Name
.

ETH Zürich

Postdoc in Resilient Satellite Navigation (GNSS)

ETH Zürich invites applications for a Postdoc in Resilient Satellite Navigation (GNSS) within the Chair of Space Geodesy, led by Prof. Benedikt Soja. This position is ideal for researchers passionate about advancing navigation resilience and tackling signal interference challenges. The team is recognized for innovative methods in space- and ground-based geodetic and navigation applications, focusing on high-precision, continuous, and real-time positioning. Their work leverages machine learning for Positioning, Navigation, and Timing (PNT) and geomonitoring, including signal characterization and anomaly detection. The successful candidate will lead GNSS-based research and support ongoing projects related to GNSS and PNT. Responsibilities include developing GNSS software using Factor Graph Optimization, implementing multi-sensor fusion strategies, advancing real-time GNSS processing for jamming and spoofing mitigation, integrating AI/ML concepts, and working with GNSS equipment and simulators. Academic leadership is expected through high-impact publications and grant applications, as well as teaching and supervision of PhD and Master students. Applicants must have a PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field, with proven GNSS data analysis and processing experience. Strong programming skills (Python, C++) and fluency in English are required. Experience with Factor Graph Optimization, sensor fusion, or AI/ML is advantageous. CH/EU/EFTA citizenship or a valid Swiss work permit and proficiency in German are beneficial. The team values analytical, self-motivated, and interdisciplinary candidates. ETH Zürich offers unique access to GNSS networks, independent research opportunities, a dynamic international team, and a supportive environment. Benefits include salary according to ETH standards, flexible working hours, part-time home office, and an attractive workplace. The position is full-time (100%) Postdoc or, for advanced candidates, as an Established Researcher (Oberassistent), with an initial contract of 2 years and possible extension. The ideal start date is 1 July 2026 or earlier. ETH Zürich is a world-leading university specializing in science and technology, renowned for excellent education, fundamental research, and knowledge transfer. The institution values diversity, sustainability, and equal opportunity, fostering a climate-neutral future and an inclusive culture. To apply, submit your complete application online via the ETH Zurich portal, including a motivation letter, CV, publication list, transcripts, certificates, and contact details of two referees. Applications via email or postal services are not accepted. Evaluation begins 20 April 2026 and continues until the position is filled. For questions, contact Prof. Benedikt Soja at [email protected] (questions only).