Assistant Professor W / M at the Department of Seismic Research

Descrizione

Assistant Professor W / M at the Department of Seismic Research Sintesi in italiano (traduzione automatica): L'Istituto di Geofisica dell'Accademia Polacca delle Scienze, situato a Cracovia, cerca un Professore Associato per il Dipartimento di Ricerca Sismica. Il candidato parteciperà al progetto NCN SOATA BIS, focalizzato sull'ottimizzazione dell'acquisizione di dati sismici da fondale marino per migliorare l'imaging sismico a scala crostale. Le mansioni principali includono la ricerca su tecniche di acquisizione e processamento dei dati sismici, con particolare attenzione all'ottimizzazione dei parametri di acquisizione. È richiesta una laurea di dottorato in scienze della Terra o in un campo correlato, conseguita non più di 7 anni prima dell'inizio del progetto. Sono necessarie competenze in metodi numerici, programmazione e pubblicazioni scientifiche, oltre a una buona conoscenza della lingua inglese. FORM FOR ADVERTISERS INSTITUTION: Institute of Geophysics, Polish Academy of Sciences CITY: Kraków POSITION: Assistant Professor W / M at the Department of Seismic Research SCIENTIFIC DICTION: Earth Sciences NOTICE DATE: 10.07.2026 DEADLINE FOR SUBMISSION OF BIDS: 10.08.2026 WEBSITE LINK: https://www.igf.edu.pl KEY WORDS: Seismic data inversion, offshore seismic data, seismic imaging, velocity model-building DESCRIPTION (topics, expectations, comments): Job Description The candidate will join the group carrying out the NCN SOATA BIS project – „Optimization of Ocean-Bottom Seismometer Acquisition for Enhanced Crustal-Scale Seismic Imaging”, Agreement nr UMO- 2024/54/E/ST10/00204 The core scientific problem this project seeks to address is the need to evolve the current paradigm of how OBS data are acquired during academic seismic surveys and how they are routinely processed. A key limitation of these surveys (from the perspective of modern processing techniques such as full-waveform inversion - FWI) is the sparse receiver deployments, which result in insufficient illumination of the target, as well as a lack of multi-azimuthal coverage from typical 2D profiles. This situation persists despite the availability of well-established imaging algorithms supported by advanced computing power, which are capable of generating high-fidelity regional geological models but cannot be fully exploited without optimized OBS data. From a seismic survey perspective, "optimal OBS acquisition" refers to a set of key parameters - such as survey geometry, source/receiver configurations, etc. - that will allow for the best possible reconstruction of the target. Therefore, it must be tailored to the method, target, and available resources. But is it possible to determine these acquisition parameters based on limited a priori knowledge of the subsurface? How should the geometry of the acquisition change when considering ray-based traveltime tomography (TT) versus wave-based FWI? In what scenarios might a sparser 3D OBS deployment be preferable to a densely sampled 2D profile? What shot/receiver configuration would be most effective? Conversely, we can consider optimizing OBS acquisition at the data processing stage. Here, the objective is to fine-tune the processing approach so that it makes the best use of the existing dataset to reconstruct the target within the available computational resources. Therefore, is it possible to design a data-selection or data-weighting approach that achieves optimal or uniform subsurface sampling for a given processing method? How would this optimal sampling differ between ray-based and wave-based techniques? Moreover, could the dataset be "sparsified" to optimize subsurface sampling while minimizing the computational load of large-scale regional models? How much could compressive sensing and advanced regularization techniques help reduce the data volume that needs to be processed? Answering these questions and finding associated solutions are the primary scientific goals of this project. Title of NCN competition SONATA BIS Requirements Doctoral degree in Earth sciences or related field, obtained up to 7 years prior to the start of work on the project. Applications may be submitted by persons who obtain a doctoral degree before the date of commencement of work. Knowledge of research topics related to seismic data acquisition and processing Knowledge of numerical and inversion methods used in seismic imaging Proven practical programming skills Experience in seismic wavefield modeling Scientific publications in peer reviewed journals Very good English language skills Highly motivated and able to organize and self-manage a research programme * In accordance with NCN requirements, only a person who has obtained a doctoral degree from an entity other than the one where the position is planned to be filled no earlier than 7 years prior to the year of employment in the project may be accepted for a post-doc position. This peri Annuncio in inglese. Fonte: Euraxess (Commissione europea).