PhD Position: Seismic Detection, Localization and Characterization of Explosion Events in Underground Ammunition Storage Facilities
Location and Duration
100%, Zurich, fixed-term
The Swiss Seismological Service (SED) at ETH Zurich invites you to apply online using the form below for a PhD position within a multi-year applied research project focused on the detection, localization, and interpretation of explosion events in underground ammunition storage facilities. This position is embedded in a collaborative project with armasuisse Science and Technology, along with partners from industry and the Swiss Armed Forces. The research plays a crucial role in establishing the scientific foundation for monitoring and rapid alert systems in underground infrastructures.
Project Background
Seismic and fiber-optic sensing technologies present promising solutions for real-time detection, localization, and characterization of explosions and related hazardous events in underground facilities. This project aims to:
- Evaluate sensor technologies.
- Design and optimize multi-sensor monitoring networks.
- Develop advanced detection and localization algorithms tailored to complex 3D underground geometries.
The research will be conducted in close collaboration between BedrettoLab at ETH Zurich and the underground test facilities at Hondrich operated by armasuisse. The project spans from 2026 to 2029 and includes experimental campaigns, field installations, data collection, processing, algorithm development, and system optimization.
Job Description
- Experimental Campaigns and Sensor Evaluation: Design and analysis of controlled test explosions in the BedrettoLab, evaluation of seismic sensors, including various seismometers and distributed acoustic sensing technology.
- Design and Installation of a Multi-Sensor Monitoring Network: Define optimal sensor geometry, participate in field installations, calibrate velocity models using controlled test events, and ensure data acquisition quality control.
- Algorithm Development: Integrate multi-sensor data streams into seismological software frameworks (e.g., SeisComP), model wave propagation in complex 3D geometries, develop and optimize event detection algorithms, high-precision localization methods, and source characterization techniques, as well as contribute to implementing real-time alarm systems.
- Cost-Optimized Alarm System Implementation: Conduct cost-benefit optimization of reduced sensor layouts, develop user-friendly monitoring concepts for future underground facilities, and collaborate closely with various stakeholders, including engineering firms, the Swiss Armed Forces, armasuisse, and international collaborators to ensure efficient system deployment.
Candidate Profile
- MSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field.
- Strong quantitative and analytical skills, paired with programming skills (Python required; experience with seismic data processing is a plus).
- Initial experience in seismic data analysis and/or wave propagation modeling is advantageous.
- Willingness to participate in field campaigns within underground facilities.
- Genuine interest in field experiments and applied research.
- Practical mindset focused on efficient project implementation.
- Motivation to work in a multidisciplinary and practice-oriented environment.
Workplace
The candidate will work under the supervision of senior scientists at the Swiss Seismological Service, ETH Zurich, and within a multidisciplinary project consortium that includes public authorities and industry partners.
What We Offer
- A fully funded PhD position (up to 4 years).
- Employment following ETH Zurich regulations.
- Access to the Bedretto Underground Laboratory.
- A collaborative environment bridging research, field experiments, and real-world applications.
- Opportunities for publications and participation in international conferences.
- Excellent analytical and communication skills, ideally in both German and English.
Diversity and Sustainability
ETH Zurich is committed to fostering an inclusive culture. We promote equality of opportunity, value diversity, and cultivate a working and learning environment that respects the rights and dignity of all staff and students. Sustainability is a core value for us, and we continuously strive towards a climate-neutral future.
Curious? So Are We!
We look forward to receiving your online application with the following documents:
- Motivation letter
- CV
- Academic transcripts
- Contact details of 2-3 references
For further information about BedrettoLab, please visit our website. Questions regarding the position should be directed to Dr. Valentin Gischig at valentin.gischig@eaps.ethz.ch (no applications).
Only applications that match the job profile will be considered.
Preferred start date: July 2026 or as soon as possible.
About ETH Zurich
ETH Zurich is one of the world's leading universities specializing in science and technology, renowned for its excellent education, cutting-edge research, and direct knowledge transfer to society. Over 30,000 people from more than 120 countries create a vibrant academic environment that promotes independent thinking and inspires excellence. Located in the heart of Europe while establishing connections worldwide, we collaborate to develop solutions for the global challenges of today and tomorrow.