Organisation/Company Warsaw University of Technology Research Field Biological sciences » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 30 Nov 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 31 Oct 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The person hired for this position will lead a research team in the fields of the:

1. Genomics data analysis for iBLESS, ChIA-PET, ChIA-Drop, Hi-C and HiChIP experimental data;
2. Three-dimensional computational modeling using ChIA-PET, ChIA-Drop, Hi-C and HiChIP experimental data;
3. Statistical analysis of epigenomic data, ATAC-seq, ChIP-seq, RNA-seq experimental data;
4. Validation and benchmarking of AI-driven bioinformatics models using molecular docking and molecular dynamics simulations;
5. Computational modeling and analysis of protein-ligand interactions using tools such as GLIDE, AutoDock, RxDock, DOCK 6, LeDock, GOLD;
6. Application and development of explainable AI methods to elucidate biomolecular interaction mechanisms;
7. Statistical and computational analysis of molecular dynamics data using OpenMM and similar open-source libraries;
8. A. Interpretation and integration of AI-generated results with biophysical knowledge;
9. B. Analyzing the simulations results, formulating biophysical hypotheses;
10. C. Commitment and full-time effort to the project;
11. D. Initiative in identifying and resolving problems relating to the research;
12. E. Management of his or her work efficiently and increase the visibility through the publications;
13. F. Active participation in weekly lab meetings, scientific seminars and international conferences;
14. G. Publications and individual Young Researchers grants preparation

Employment will be financed from the project titled “Center for Credible Artificial Intelligence,” funded under the FENG MAB program (agreement no. FENG.02.01-IP.05-0058/24).

Where to apply

E-mail sekretariat.ccai@pw.edu.pl

Requirements

Research Field Biological sciences » Other Education Level PhD or equivalent

Research Field Computer science » Other Education Level PhD or equivalent

Skills/Qualifications

The competition is open for persons who meet the conditions specified in the regulations on the allocation of resources for the implementation of tasks financed by the Foundation for Polish Science for MAB grant

- PhD degree in computer science, molecular biology, biophysics, biochemistry, bioinformatics or related discipline. The PhD degree should be obtained before the date of employment in the project. We can wait till PhD thesis defense, if needed;

- Excellent knowledge of English;

- Team work skills and experience;

- Documented experience with the Artificial Intelligence methods, computational modeling, statistics and machine learning applied to biological data;

- Documented expertise in computational biology and bioinformatics, particularly experience with molecular docking, molecular dynamics simulations, and protein structure prediction;

- Familiarity with AI and machine learning frameworks, explainable AI methods, and their application in biological contexts;

- Strong programming skills (Python, R, or equivalent), familiarity with Linux environment;

- Experience with analysis and interpretation of large-scale biomolecular data;

- Documented experience with the biological data, the whole genome sequencing, epigenomic and 3D genomics dataset;

- Bioinformatics and biological knowledge of chromatin-related genomics: the next generation sequencing, epigenomics, RNAseq, ATAC-seq data analysis, HiC, HiChIP, ChIA-PET, iBLESS;

- Priority will be given to candidates with expertise relevant to the MAB WP2 BioAI project and in agreement with the general profile of the laboratory. Preliminary work done by applicant in the context of Artificial Intelligence methods for 3DGenomics will be treated as the strong asset;

- Essential requirements cover the ability to work in collaboration with others, within a large research team, performing several parallel scientific tasks, independent thinking and finally the ability to deliver publishable results;

- Needed the highly motivated individuals willing to work in an interdisciplinary environment under stress and with strict deadlines.

Specific Requirements

PhD in Math, Computer Science, Life Sciences or similar field

Publications in a specific field or fields.

Ability to conduct research independently.

The candidate is expected to show initiative in solving research problems, commitment to project tasks, active participation in seminars and scientific conferences, and readiness to prepare publications and grant applications for young researchers.

Very good command of English

Languages ENGLISH Level Excellent

Research Field Biological sciences » Other Years of Research Experience 4 - 10

Research Field Computer science » Other Years of Research Experience 4 - 10

Additional Information

• an opportunity to participate in an interdisciplinary project spanned across Artificial Intelligence, biology, biophysics, biochemistry and bioinformatics in the novel discipline of BioXAI;

• a unique multidisciplinary workplace in one of the best scientific institutions in Poland;

• stimulating, young and friendly work environment;

• access to the state-of-art computational equipment;

• comprehensive training in molecular biology, bioinformatics, computational genomics, biophysics and the next generation sequencing;

• opportunities for interdisciplinary and international collaborations;

• possibility of further personal and scientific development.

CCAI MAB project provides unique opportunities for interdisciplinary work between artificial intelligence, molecular biology, biophysics, and bioinformatics, as well as well-established and long-lasting international collaborations with recognized academic institutes and universities in US, China and EU. Close collaboration with industry will be present as well. We provide also the access to modern computational equipments and support from other experienced researchers. International partners will be co-supervising your work at the laboratory.

Work in a modern building, full-time employment based on an employment contract, access to a group insurance package and social benefits for employees.

Eligibility criteria

• a letter of application to the Vice-Rector for General Affairs
• personal questionnaire for the candida
• statement declaring Warsaw University of Technology (WUT) as the primary place of employment, in accordance with the Act – Law on Higher Education and Science
• statement confirming full legal capacity, enjoyment of full public rights, no final conviction for an intentional crime or intentional fiscal offense, and no disciplinary penalty referred to in Article 276(1)(7) and (8) of the Act,

in accordance with the templates available at:

• copies of the diploma confirming completion of higher education and obtaining the professional title of Master or an equivalent title;
• certified copy of the doctoral diploma;
• scientific curriculum vitae (academic CV) including clause: "I consent to the processing of my personal data necessary for the recruitment process, in accordance with the Act of 29 August 1997 on Personal Data Protection."
• list of scientific publications, including journal articles, conference papers, monographs, and book chapters;
• record of scientific, teaching, and organizational achievements;
• information on participation in national and international conferences;
• description of experience in obtaining funding and managing research projects (e.g. leading research projects, participation in projects funded from national or international sources);
• activities related to technology transfer, including authorship or co-authorship of industrial property protected by exclusive rights;
• experience in leading and working within research teams, including cooperation with other research centers;
• supervision activities (number of doctoral procedures supervised, number of PhD graduates, experience as auxiliary supervisor);
• information on completed trainings, specialist courses, workshops, and mentoring programs related to the development of teaching, research, or technology transfer competencies;
• other important achievements (e.g. awards, distinctions, science popularization activities, etc.).

We evaluate the competencies of candidates for research team leaders based on:

• the quality and originality of up to three of the candidates scientific achievements (obtained in the last 10 years) in the field in which the project research is to be conducted, compared to achievements in this field at the worlds top research centers;
• the candidates experience in leading a research team or their potential to be a leader;
• the candidates experience in implementing grant projects – either as a project manager or as an executive;
• the candidates experience in commercializing research results and collaborating with industry;
• the candidates participation in the implementation of theses as a supervisor or co-supervisor of doctoral theses;
• the candidates research results obtained as part of projects indicated in the application, financed from external sources and completed within the last three years, and the impact of these results on the field covered by the research agenda in the application.

Selection process

Based on the applications received, we invite selected candidates for an interview. In the next step, we make a decision about hiring the selected person.

Additional comments