진학프로석·박사 채용 접수 플랫폼

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

1. 1. 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.
2. 2. Knowledge of research topics related to seismic data acquisition and processing
3. 3. Knowledge of numerical and inversion methods used in seismic imaging
4. 4. Proven practical programming skills
5. 5. Experience in seismic wavefield modeling
6. 6. Scientific publications in peer reviewed journals 
7. 7. Very good English language skills
8. 8. 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 period may be extended by the time of being on long-term (more than 90 days) documented sickness benefits or rehabilitation benefits due to incapacity for work during this period. In addition, the number of months spent on leave for the care and upbringing of children granted under the terms of the Labor Code may be added to this period, and in the case of women - 18 months for each child born or adopted. 

In addition, in accordance with the requirements of NCN, an employed person shall not, during the period of drawing this remuneration, draw other remuneration from funds granted as direct costs from research projects financed under NCN competitions, and shall not, during the period of drawing this remuneration, draw remuneration from another employer under an employment contract, including from an employer based outside the territory of Poland.

Conditions of employment:

1. Salary: 11667.00 PLN gross/month, (which is about 7500.00 PLN net/month)

2. Full-time employment

3. Period of employment - 24 months (with possible extension to maximum 40 months)

4. Employment beginning 01.10.2026

5. In accordance with the terms and conditions of NCN, during the period of employment, the post-doc may not receive any other remuneration in any form from NCN funds and remuneration from any other employer under an employment contract, including an employer based outside the territory of Poland.

6. First contract is signed for a minimum of six months.

Additional information

The project is focused on high-resolution crustal-scale velocity model-building from Ocean-Bottom Seismometer data. The research will be realized within the framework of long-term international collaboration of IG PAS with research institutes in France and Japan. 

The work will be carried out under the supervision of: 

Dr hab. inż. Andrzej Górszczyk prof. PAN

[email protected]

Institute of Geophysics, Polish Academy of Sciences

Ksiecia Janusza 64, 01-452 Warsaw, Poland

Required documents: 

• • Cover letter
• • A document confirming the award of the doctoral degree or the candidate's declaration indicating the scheduled date of the doctoral dissertation defense
• • CV relevant to the stated requirements
• • Information on scientific achievements (including a list of publications), awards and scientific internships
• • Electronic versions of the two most important publications (or typescripts of unpublished works) that the candidate considers representative of his/her scientific achievements
• • Other relevant documents 

Applications for the Competition should be sent by 10.08.2026 to: [email protected] writing the subject of the message: "SONATA-BIS GORSZCZYK Assistant Professor".

Selected candidates may be invited for an interview via electronic means of audio and video communication.

The Institute of Geophysics PAS reserves the right to close the competition without selecting a candidate.

For more detailed information, please contact PI of the project: 

Dr hab. inż. Andrzej Górszczyk prof. PAN

[email protected]

Administrator of personal data is the Institute of Geophysics of the Polish Academy of Sciences (hereinafter referred to as the “Controller”), ul. Księcia Janusza 64, 01-452 Warsaw, Poland, tel. +48 22 691 59 50, e-mail: [email protected].

Personal data will be processed for the purpose of conducting the current recruitment process on the basis of Article 6(1)(b) of the GDPR in connection with Article 22¹ of the Polish Labour Code, and with regard to data provided voluntarily – on the basis of Article 6(1)(a) of the GDPR.

The data may be transferred to IT service providers and other entities supporting the recruitment process on the basis of relevant agreements.

The data will be stored until the end of the recruitment process, and in the case of separate consent for participation in future recruitment processes – for a period of 12 months.

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Providing data required under labour law provisions is mandatory, while providing other data is voluntary; however, failure to provide such data may make participation in the recruitment process more difficult.