PhD Thesis Offers
Open PhD Thesis Offers for InSight in France
The SEIS project is offering several PhD in the participating teams. All PhD will start in September 2020. For more information, please contact the PhD supervisors and/or follow the guidelines in the PhD description below.
New data analysis methods applied to Mars’ ground vibrations and the imaging of its internal structure
NASA's InSight mission successfully deployed a seismometer on the surface of Mars for the first time to measure the planet's very weak vibrations. The events detected make it possible to constrain the energy still present inside and to image the main internal structures.
This PhD thesis proposes to focus on the continuous seismic signal through original observables such as instantaneous phase or frequency while relying on innovative mathematical approaches (clustering, machine learning). The aim is to quantify the parts of the signal that are redundant in order to highlight out-layer phases and thus potentially low energy earthquakes. The methods developed during this thesis will be tested and validated with terrestrial seismological data.
Programming languages suitable for seismic signal processing and analysis of large data sets: Python (including ObsPy), ForTran, shell (Linux).
Advanced knowledge in applied mathematics, learning methods and statistics.
Basic knowledge in seismology.
Using the Mars background SEIS seismic noise for inverting landing site, crust and upper mantle seismic structure (CNES/STEP Paris University)
The structure of the SEIS noise is not well understood. The first goal of the PhD will be to separate, by using both the SEIS and APSS data, the lander noise from the planet background seismic noise. This will request to process the complete collection of continuous data, as functions of wind direction and local time, in order to separate noise related to local origin from noise related to global or regional origin. This process will not be key for searching for micro-seismic noise, but also for improving the signal to noise ratio of all detected events, which will allow significant contribution to ongoing structural analysis made with the recorded quakes. The second goal of this project will be to couple observations, analysis and modeling of the SEIS data together with observation, analysis and modeling of the APSS (Banfield et al., 2019) data in order to constrain and model the source any observed micro-seismic and acoustic noise. The last goal of the PhD will be to constrain, with these seismic waves generated by the atmosphere, the subsurface and possibly the crustal and lithospheric structure of the planet, independently of quakes and impacts.
Gravimetry and stresses of Mars and its Moons (ISAE-SUPAERO/Lagrange).
The goal of this Phesis is to develop the tools allowing the modeling of the gravity fields and internal stresses of Mars, of the Martian Moon and of the small bodies of the solar systems. This will be done in the frame of the data analysis of the InSight and MMX mission, but also to support other missions like HERA and PSYCHE. Validation will be made with the data from NEAR, HAYABUSA, HAYABUSA-2 et OSIRIS-REX.