Host institution: Institut de Physique du Globe de Paris (IPGP)
|main supervisor:||Eleonore Stutzmann (IPGP, F)|
|co-supervisors:||Wayne Crawford (IPGP, F)|
|Jean Paul Montagner (IPGP, F)|
Application deadline: August 1st, 2021. Position remains open until filled
Earliest possible starting date: September 1st, 2021
This PhD position is one of the 15 Early Stage Researcher (ESR) positions within the SPIN project. SPIN is an Innovative Training Network (ITN) funded by the European Commission under the Horizon 2020 Marie Sklodowska-Curie Action (MSCA).
SPIN will focus on training 15 PhD candidates in emerging measurement technologies in seismology. We will research the design of monitoring systems for precursory changes in material properties, all while optimizing observation strategies. The unique interdisciplinary and inter-sectoral network will enable PhDs to gain international expertise at excellent research institutions, with a meaningful exposure of each PhD to other disciplines and sectors, thus going far beyond the education at a single PhD programme.
Oceans cover the 2/3 of the Earth and ocean bottom seismometer stations (OBS) are key instruments for monitoring the Earth’s activity. These stations are sensitive to earthquakes, but also to “noise” from ocean waves and currents, storms, hurricanes, landslides, marine fauna, human activities and cryospheric events. They provide fundamental information on tectonic earthquakes, geological processes and the local structure beneath the station, while the noise can be used to monitor environmental parameters and changes in structure beneath the station. First order noise sources are compliance, the ground response to infra-gravity waves passing above the stations, and tilt caused by ocean currents passing by the stations.
The purpose of this PhD is to enhance our ability to extract environmental and seismological data from OBS records, by separating the noise into its component elements. The PhD student will first develop innovative tools to analyze and separate the tilt and compliance signals from the OBS data. The approach will combine signal processing, physical understanding and machine learning algorithms. The student will then use the ”clean” signals for various applications in environmental, tectonic and structural seismology.
Several OBS datasets have been acquired over the last years and the PhD student will focus on the RHUM-RUM experiment data, in which 50 OBSs were deployed for one year in the Indian Ocean around La Reunion island. To complement this dataset, the PhD student will also use data from new DAS (distributed acoustic sensor) sensors which can measure signals nearly continuously along an optical cable.
We welcome applications from candidates who fulfill the following criteria:
- A completed research-oriented university degree, such as a Master’s degree or BSc Hons, in a relevant field (e.g. Geophysics, Physics, ..) The PhD enrollment requirements will depend on the hosting institute, please refer to the individual project descriptions and institute webpages.
- Note that you may apply if you have not completed your degree yet, as long as your degree will be completed by the time of recruitment in the project.
- An outstanding academic track record
- A good command of English, both verbal and written
- Dedication and enthusiasm for research, combined with scientific curiosity, reliability and the capacity to teamwork in an interdisciplinary environment.
- Skills in signal processing, basic physics, seismology and programming are required.
Please ensure that you fulfill the following eligibility criteria for ESR (Early Stage Researcher) positions in H2020 MSCA-ITNs, as ineligible candidates cannot be considered: https://spin-itn.eu/recruitment/#eligibility-criteria
The application deadline is August 1st, 2021. Application evaluations will start immediately, and will continue until all positions are filled. We wish to reflect the diversity of society and we welcome applications from all qualified candidates regardless of personal background. The selection will be exclusively based on qualification without regard to gender identity, sexual orientation religion, national origin or age.
Applications must include:
- A cover letter in which you describe your motivation and qualifications for the position (statement of interest).
- A CV including relevant competences, skills and publication list, if applicable
- Copies of degree certificate(s) and transcripts of records for previous studies (Bachelor and/or Master). Please indicate expected date of graduation if your Master’s degree is not completed
- Contact information of two references
Applications should be sent in one single pdf file with filename ‘SPIN_YourLastname_YourFirstname.pdf’ to firstname.lastname@example.org and in copy to Eléonore Stutzmann (Stutz@ipgp.fr), Wayne Crawford (Crawford@ipgp.fr) and Jean-Paul Montagner (email@example.com) Without the application documents, your application cannot be considered!
In addition, you must complete the SPIN application form: http://uhh.de/min-spin-apply.
Please fill in the form only once. If you submit the application form multiple times, we will consider only the first submission. If you want to correct your information, please first send an e-mail to SPINfirstname.lastname@example.org.
Please note that you will not immediately receive a confirmation email after completing the form, so please fill it in only once. If you see a message “Thank you for completing the form!”, then your information was received.
If you have any questions about the application procedure, please contact SPINemail@example.com.
By applying to a PhD position, you agree that all data concerning your application may be stored electronically and distributed among the supervisors involved in the selection procedure within the MSCA ITN SPIN. If you do not agree, your application can not be processed further, due to the project’s centralised recruitment process. The data are used solely for the recruitment process and we do not share information about you with any third party.
A pdf version of the description of this ESR can be found here