Oferty pracy w projektach finansowanych przez NCN

Nazwa jednostki: Warsaw University of Technology, Faculty of Electronics and Information Technology, Institute of Radioelectronics and Multimedia Technology – Warsaw, Inne oferty z tego miasta »
Nazwa stanowiska: Postdoctoral Researcher
Wymagania:

The position is offered in the NCN OPUS-29 project no. 2025/57/B/ST7/01164, “High-Spatial Resolution Electrical Capacitance Tomography”. The project concerns high-resolution Electrical Capacitance Tomography (ECT), combining high-density/reconfigurable electrode acquisition, large-scale numerical simulation, and deep-learning-based image reconstruction.
Formal NCN eligibility requirements for an NCN post-doc type post:
- PhD degree awarded in the year of employment in the project or within 12 years before 1 January of the year of employment in the project;
- PhD degree awarded by an institution other than Warsaw University of Technology, or at least 10-month continuous and documented postdoctoral fellowship in an institution other than the project host institution and in a country other than the country where the PhD degree was awarded;
- during the period of receiving this remuneration, the candidate must not receive any other remuneration from direct costs of NCN-funded research projects;
- during the period of receiving this remuneration, the candidate must not be employed by another employer under an employment contract, including an employer outside Poland;
- during the period of receiving this remuneration, the candidate must not receive pension benefits from the social security system.
Required scientific and technical qualifications:
- PhD degree in a relevant field, for example electrical engineering, electronics, biomedical engineering, computer science, physics, applied mathematics, automation and robotics, medical physics, or a related discipline;
- strong programming skills in Python and/or MATLAB, with experience in scientific computing;
- documented experience in at least one of the following areas: deep learning/neural networks, inverse problems, tomographic image reconstruction, computational imaging, numerical simulation, or surrogate/forward modeling;
- ability to conduct independent research and to document computational experiments reproducibly;
- good command of English in a research environment, both written and spoken;
- ability to work independently and as part of an interdisciplinary research team.
Additional qualifications:
- experience with PyTorch, TensorFlow, JAX or similar deep-learning frameworks;
- experience with GPU training, HPC environments, large-scale datasets, or model optimization;
- experience with FEM/FVM/BEM simulation workflows or physics-based modeling;
- experience with uncertainty analysis, robustness testing, model compression, physics-informed constraints, or data augmentation;
- peer-reviewed publications or preprints in imaging, inverse problems, machine learning, scientific computing, or related fields;
- experience with open-source research software, version control, and reproducible workflows.

Opis zadań:

The postdoctoral researcher will work primarily on the computational imaging and machine learning components of the project. The main duties will include:
- developing and optimizing deep neural network architectures for high-resolution ECT image reconstruction;
- implementing training, validation, and evaluation pipelines for high-dimensional reconstruction models;
- collaborating on simulation strategies and data augmentation methods for large-scale synthetic training datasets;
- contributing to the development of a neural-network-based forward/surrogate model to accelerate training data generation;
- analyzing reconstruction performance, including image quality metrics, artifacts, robustness, uncertainty, inference time, memory use, and generalization to unseen objects;
- proposing improvements to the measurement and reconstruction pipeline, including acquisition strategy, electrode grouping, projection density, model architecture, and training-data design;
- collaborating with the hardware/sensor team during integration and validation on real measurement data;
- preparing scientific publications and/or presenting results at conferences;
- contributing, where appropriate, to the documentation and open release of selected tools, models, or datasets in accordance with the project’s open-science assumptions.

Typ konkursu NCN: OPUS – ST
Termin składania ofert: 31 lipca 2026, 23:59
Forma składania ofert: email
Warunki zatrudnienia:

• Full-time employment contract at Warsaw University of Technology, fixed-term for 12 months.
• Planned start date: 1 October 2026, or as soon as possible thereafter, subject to completion of the recruitment procedure and WUT employment formalities.
• Workplace: Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland. Hybrid work may be possible for selected computational tasks, subject to agreement with the Principal Investigator and WUT rules.
• Funding: NCN OPUS-29 project no. 2025/57/B/ST7/01164.
• Remuneration: the project budget allocates PLN 140,000 for 12 months of full-time post-doc employment. This amount should be understood as the total employment cost/gross-gross budget under WUT payroll rules; the exact gross monthly salary will depend on the formal payroll structure applied by the host institution.
• The project budget includes funds for dissemination and conference travel, subject to project rules and availability.
• The position is contingent on meeting NCN eligibility requirements and WUT employment rules.

Dodatkowe informacje:

Recruitment procedure:
- The candidate will be selected through an open competition conducted by a recruitment committee appointed by the head of the host institution.
- The committee will be chaired by the Principal Investigator and will include at least two additional members with appropriate scientific or professional qualifications.
- Applications will first be checked for formal eligibility and completeness.
- Candidates will be assessed based on the required qualifications and additional assets listed in this announcement, with particular attention to their fit with the project tasks.
- Shortlisted candidates may be invited to an interview, held online or on-site. The interview may include a discussion of previous research, programming/scientific-computing experience, publications, and fit to the project tasks.
- The results of the competition will be made public on the website of the host institution.
Required application documents, preferably submitted as a single PDF file:
1. CV, including publication list and ORCID/Google Scholar/Scopus profile if available.
2. Short cover letter describing fit to the project and the most relevant technical/research experience.
3. Copy of PhD diploma or official document confirming that the PhD degree has been awarded; if the degree is pending, a document confirming the expected award date may be provided, but the NCN eligibility requirements must be satisfied no later than the employment start date.
4. Contact details of 1-2 academic or professional references, or reference letters.
5. Optional: link to code repository/portfolio, or a short technical note (1-2 pages) summarizing a relevant project.
Applications should be sent by e-mail to: damian.wanta@pw.edu.pl
Suggested e-mail subject: POST-DOC OPUS-29 ECT - application - [surname]
Contact:
Damian Wanta, PhD, Eng.
Warsaw University of Technology
E-mail: damian.wanta@pw.edu.pl
Additional notes:
- We reserve the right to contact only shortlisted candidates.
- We reserve the right not to select any candidate if no application meets the project and formal requirements.

Data dodania ogłoszenia: 2026-07-03 12:03:31