BELSPO Funded project
Making Analog Seismograms FAIR to Enable Research
Laboratory of Image Synthesis and Analysis (LISA) – Université libre de Bruxelles
With this project, we propose to bring century-old analog seismic data and metadata compliant with modern standards by bridging two domains of expertise, namely seismology and machine learning.
The goal of the project is to develop methodologies to make pre-digital seismic (i.e. scanned seismogram images) data compliant with FAIR principles( Findability, Accessibility, Interoperability, and Reuse of digital assets) which are the core of modern community standards. This data and metadata, once discoverable and usable, are the only source of independent observations available to atmosphere-ocean-solid earth coupling modelers to study the ocean climate using the seismic waves they generate during the pre-satellite period.
The project is done in collaboration with the Royal Observatory of Belgium.
The applicant should send PDF documents:
· cover letter (1-page maximum)
· curriculum vitae
Submit application to: Olivier.Debeir@ulb.be
If judged suitable, applicants will be selected for an online interview.
Starting date: As soon as possible.
Deadline for the submission of applications: Positions open until filledContinue reading
|Title||Full Time Doctoral Position in Image Processing and Machine Learning|
|Employer||Université libre de Bruxelles (ULB)|
|Job location||Avenue Franklin Roosevelt 50, 1050 Brussels|
|Published||May 26, 2021|
|Job types||PhD  |
|Fields||Artificial Neural Network,   Data Structures,   Databases,   Machine Learning,   Signal Processing,   Image Processing  |