Postdoc​/assistant professor

Institute of Fundamental Technological Research Polish Academy of Sciences

Organisation/Company Institute of Fundamental Technological Research Polish Academy of Sciences Department Department of Biosystems and Soft Matter Research Field Engineering » Biomedical engineering Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Final date to receive applications 9 Aug 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Project title:
Regulation of cellular heterogeneity as an antibacterial control mechanism of infection

Funded by the National Science Centre Poland

We are seeking an enthusiastic and highly motivated postdoctoral researcher to join the laboratory of Prof. Pawel Paszek at IPPT PAN to investigate the regulation and function of cellular heterogeneity during bacterial infection.

The project aims to understand how variability in immune-cell responses influences pathogen control and dissemination. Using the bacterial pathogen Listeria monocytogenes as a model system, we combine experimental infection biology, single-cell genomics, advanced microscopy, and quantitative approaches to investigate host–pathogen interactions across cellular and tissue scales.

The successful candidate will play a leading role in the project and will:

• Design and perform experiments using Listeria monocytogenes infection models and primary human and mouse immune cells;
• Lead the generation, analysis, and interpretation of single-cell datasets, including scRNA-seq and scATAC-seq;
• Develop approaches to investigate transcriptional variability and cell-state transitions during infection;
• Contribute to supervision and training of PhD students;
• Coordinate selected project activities and contribute to scientific reporting required by the funding agency;
• Prepare manuscripts for publication in international peer-reviewed journals and present research findings at international conferences;
• Collaborate with researchers from experimental, computational, and quantitative biology backgrounds.

The project offers a unique opportunity to participate in an ambitious interdisciplinary research programme at the interface of infection biology, immunology, single-cell genomics, and systems biology.

Research Field Engineering » Biomedical engineering Education Level PhD or equivalent

Research Field Biological sciences » Biology Education Level PhD or equivalent

Skills/Qualifications

We seek candidates with a strong publication record in immunology, microbiology, infection biology, molecular biology, biotechnology, bioinformatics, or a related discipline.

Required qualifications:

• Demonstrated research experience in immunology, infection biology, host–pathogen interactions, molecular biology, microbiology, genomics, bioinformatics, or related fields;
• Experience with modern experimental techniques in molecular and cellular biology, including some of the following: mammalian cell culture, primary immune cells, bacterial infection models, RT-qPCR, Western blotting, flow cytometry, immunostaining, fluorescence/confocal microscopy, or next-generation sequencing;
• Strong publication record appropriate for career stage;
• Excellent command of spoken and written English;
• Ability to work independently and contribute effectively to collaborative interdisciplinary projects.

The following qualifications will be considered advantageous:

• Experience with primary immune cells, bacterial infection models including Listeria monocytogenes, or mouse models;
• Experience with single-cell genomics, including scRNA-seq and/or scATAC-seq;
• Experience with next-generation sequencing technologies and analysis of omics datasets;
• Computational and bioinformatics skills, including R or Python programming, statistical analysis, image analysis, or machine learning;
• Experience with quantitative biology, systems biology, or mathematical modelling;
• Pre…