Sebastian Kmiecik
1 week ago
Postdoctoral Researcher in Computational Chemistry and RNA Structural Ensembles University of Warsaw in Poland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 14, 2026
Country
Poland
University
University of Warsaw
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About this position
The Faculty of Chemistry at the University of Warsaw is recruiting for an NCN-funded postdoctoral position in the project CABS-flex RNA: AI-Assisted Multiscale Modeling of RNA Structural Ensembles (grant UMO-2025/59/B/ST6/01643), led by Prof. Sebastian Kmiecik. This is a full-time, temporary research appointment in the Laboratory of Computational Biology, with two positions available.
The project focuses on RNA structural ensembles, combining automated long-timescale biomolecular simulations with the development of computational methods, coarse-grained models, force fields, and statistical potentials using data-driven and AI-assisted approaches. The successful candidate’s tasks will be matched to their expertise, either in biomolecular simulations or computational method development, and the two research strands will interact within the project.
Applicants should hold a PhD in a relevant natural, computational, or technical science and meet the University of Warsaw/NCN eligibility conditions. Strong experience in structural bioinformatics or molecular modelling of proteins, RNA, or their complexes is required, along with practical Python skills for automation, simulation workflows, and results analysis. Good English and the ability to work collaboratively in a research team are also expected. Experience in RNA modelling, Fortran, HPC, coarse-grained methods, machine learning, or statistical potentials is welcome as an advantage.
The post offers a gross monthly salary of PLN 8000–12000 and a planned duration of 24 months, with a possible extension until 31 July 2029 subject to project funding. The position is based at the Faculty of Chemistry, University of Warsaw, in Warsaw, Poland, with an expected start on 1 January 2027 or a mutually agreed date.
Applications should be sent by email to [email protected] by 14 November 2026. Required documents include a CV with publication list and contribution descriptions for up to three selected papers, a short motivation letter, contact details of two referees, and a statement accepting the University of Warsaw competition rules. Shortlisted candidates may be invited for interview, and results will be communicated by email.
Funding details
Available
What's required
A PhD or equivalent in a relevant natural, computational or technical science by the date of signing the employment contract; the first PhD must have been awarded in the year of employment or within the previous 12 years, subject to permitted career-break extensions; the PhD must be from outside the University of Warsaw, or the candidate must have a continuous documented research stay of at least nine months at an institution outside the University of Warsaw and in a different country from where the PhD was awarded. Applicants should have experience in structural bioinformatics or molecular modelling of proteins, RNA or their complexes, demonstrated by publications; ability to write Python scripts, automate calculations, run multiple simulations and analyse results; good command of English; ability to work in a team; and eligibility under Article 113 of the Polish Law on Higher Education and Science. Experience in RNA modelling, Fortran, high-performance computing, coarse-grained methods, machine learning, or derivation of statistical potentials is an advantage, but not required.
How to apply
Send the required documents by email to [email protected] with the subject line “OPUS 30 CABS-flex RNA – post-doc”. Include a CV with publication list and contribution statements for up to three papers, a short motivation letter, contact details for two referees, and a statement accepting the University of Warsaw competition rules. Applications may be submitted in English or Polish.
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Professors
Prof. at University of Warsaw
Poland
Research Interests
Biochemistry
Pharmaceutical Chemistry
Protein Chemistry
Molecular Docking
Computational Biology
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