Narodowe Centrum Nauki prezentuje bazę ogłoszeń o wolnych stanowiskach pracy przy projektach finansowanych przez Centrum. Narodowe Centrum Nauki nie ponosi odpowiedzialności za treść i wiarygodność przesyłanych ofert pracy.
Uprzejmie informujemy o nowych warunkach zatrudniania osób na stanowiska typu post-doc: limit czasu upływającego od uzyskania stopnia doktora dla aplikujących na te stanowiska kobiet może być przedłużony o 1,5 roku za każde urodzone bądź przysposobione dziecko.
Requirements:
1. Masters’s degree awarded in any field of science or engineering including but not limited to
chemistry, physics, technology, renewable energy engineering, materials engineering, mechanical
engineering, etc.
2. Proven background in at least four of the following scientific areas (refer Requirement 6.): (1)
Density Functional Theory, (2) Multi-Physics Simulations, (3) Finite Element Method, (4) Energy
conversion technology or Energy Storage Materials, (5) Phase Field Method, (6) Machine learning;
3. Programming skills in one of the following languages (e.g. Python, C++) and Knowledge of FEA
with MOOSE software ( at least one year experience of using the software). Experience in software app
development in the applied engineering or applied science disciplines (the link to the data or code or
the GUI or webapp of the software must be provided in the CV). Experienced in using Linux (Ubuntu)
OS and HPC system;
4. Good command of spoken and written English language ;
5. Ability to work independently as well as work together in team.
6. Publication track record : The candidate has authored scientific research article in SCI(E) journal as
a first author in original research paper. Preference would be given to articles published in journals
related to the field of “Energy” and/or “Sustainable Technology” domain. (Information about accepted
manuscript(s) to journals of Energy domain can also be shown as a proof of track record of
dissemination in the sector of Energy science.)
Lithium-ion batteries (LIBs) are characterized by their high specific energy density, typically ranging
from 100 to 265 Wh/kg, making them among the most efficient and reliable mobile energy storage
devices today. However, dendrite growth in the anode remains one of the most critical challenges
limiting their long-term performance and safety. Despite decades of extensive research on the
interfacial dynamics at the electrode/electrolyte interface, the fundamental mechanisms governing the
nucleation and growth of Li dendrites are still not fully understood. The selected candidate will join the
DENDRITEPHASE project team to conduct advanced computational and data-driven research on the
physics of dendrite growth. The candidate will not only carry out independent research but also play an
active role in mentoring and guiding other team members in advanced computational methodologies.
This includes providing training in multiphysics modeling, validating simulation results, and
collaborating on joint publications.
The main tasks for the scholar:
1. Perform DFT calculations and advanced machine learning computations for the material candidates
of energy storage devices (batteries, supercapacitors, piezoelectric and ferroelectric devices). (task 1)2. Take an active role in mentoring and guiding other research team members in advanced AI
technologies, including providing training in multiphysics modeling, assisting with simulation setup
and interpretation, and validating results to ensure methodological accuracy and consistency. (task 2).
3. Relay the data and results of task 1 to other research team members.
Closing timeline for submission of tenders: 10.09.2026
Terms of Employment:
Announcement of competition results: As soon as possible
Number of position(s): 1
Place of work: Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice,Poland
Duration of scholarship: 2 months
Working hours: Full time (40 h/week).
Date of commencement of employment: As soon as possible.
The Faculty of Mechanical Engineering at Silesian University of Technology (SUT) hereby announces
competition for the student position (Ref. PFML-S-2026-12). The successful applicant will participate
in the research project titled: "Learning the Physics of Dendrite Growth in Lithium-Ion Batteries: An
Attention Mechanism Approach for Prevention and Mitigation (DENDRITEPHASE)”. The
DENDRITEPHASE research project is jointly funded by the Narodowe Centrum Nauki (NCN), Poland
and Fonds voor Wetenschappelijk Onderzoek Vlaanderen (FWO), Belgium. Within this project,
researchers from SUT (Gliwice, Poland) and KU Leuven (Leuven, Belgium) will collaborate to
investigate the mechanisms of dendrite growth in Lithium-Ion Batteries. The costs associated with the
research stay of the successful applicant at SUT for the position Ref. PFML-S-2026-12 will be covered
using funds from the grant (UMO-2023/51/I/ST11/02716) provided by the NCN.
NCN call for proposals type: OPUS LAP – ST (NCN as lead agency*)
FWO call for proposals type: WEAVE (FWO as partner agency**)
Further information about the OPUS LAP/WEAVE:
* https://www.ncn.gov.pl/en/ogloszenia/konkursy/opus26
https://ncn.gov.pl/en/wspolpraca-zagraniczna/wspolpraca-wielostronna/weave
** https://www.fwo.be/en/support-programmes/all-calls/senior-researchersresearch-teams/weave-
fwo-partner/
How to Apply for the Scholarship Position:
The application should contain the following documents/information:
1. CV including the following information (list of scientific achievements, a list of publications,
information about disseminatation made in the Energy science/Sustainable Technology domains,
conference presentations, awards and distinctions for scientific activity, software and data processing
skills, Document related to the Requirements sections etc.) ;
2. Copy of the Masters’s degree diploma or equivalent document or a document confirming the last
year of Masters’s studies;
3. Copy of the Masters’s thesis abstract;
4. Application letter or letter of motivation (maximum 1 page)
5. Acronym for reference of this position (Reference: PFML-S-2026-12).
In addition to the above documents, please prepare a document consisting of the following statement:
"I consent to the processing of my personal data for the purpose of recruitment in accordance with Art.
6 sec. 1 letter a of the Regulation of the European Parliament and of the Council (EU) 2016/679 of 27
April 2016 on the protection of individuals with regard to the processing of personal data and on the
free movement of such data, and repealing Directive 95/46 /EC (general regulation on data
protection ). "
Application document (all of the documents combined together as a single pdf file) in English should
be sent electronically to one of the Co-Principal Investigators (Co-PIs) of the project - Dr. Anil Kunwar
(e-mail address: anil.kunwar@polsl.pl). This document must be also sent simultaneously as a CC email
to another co-PI of the project - Professor Nele Moelans (e-mail address: nele.moelans@kuleuven.be).
It is recommended to include the job reference (Reference: PFML-S-2026-12) in the subject of the email message.