We are looking for colleagues who can help turn open questions into verifiable results. Our work brings together theoretical research, data analysis and independent scientific scrutiny. At this initial stage, collaboration is voluntary and unpaid, with a scope agreed in advance.
We are developing the R-Universe, PSI, OSD and IET/VIRR research programmes. We invite researchers, methodologists and partner institutions to collaborate on clearly defined tasks: reviewing a mathematical model, reproducing an analysis, or preparing an independent evaluation. We value expertise and a willingness to challenge assumptions, rather than agreement with a proposed hypothesis alone.
At this initial stage, we offer voluntary, unpaid research collaboration with an agreed scope. Your involvement should fit your time, expertise and circumstances. We will clarify the tasks and expected outputs together before work begins.
By mutual agreement, collaboration may take place under an IRSFP affiliation, potentially alongside your existing institution. We will clarify affiliation, access to materials, and the rules for authorship and acknowledgement in advance. Final authorship will reflect actual contributions, responsibility for the work, and the requirements of the participating institutions and publication venues. Affiliation does not itself establish an employment relationship.
We are seeking grant, foundation and partner funding to support the research, its infrastructure and the gradual introduction of paid roles. Paid positions will depend on funding actually secured and on agreed terms.
Early active collaborators can help establish each team’s methods, priorities and working culture. As a programme develops, they may take on scientific or project leadership by mutual agreement. Relevant expertise, contributions to date, collaborative skills and project needs will guide these decisions.
We aim to refine the mathematical formulation of alternative cosmological and gravitational models and compare them with reference theories and observations.
We are looking for theoretical physicists, cosmologists, and specialists in effective field theory, numerical methods and Bayesian statistical analysis. Experience with computational tools for cosmology and reproducible analyses is also valuable.
We need independent scrutiny of model assumptions, stability and domains of validity, as well as numerical and statistical methods. Negative or inconclusive findings are valuable when they clarify what a model can actually explain.
A possible first task: jointly auditing a specific model branch or reproducing a selected calculation.
We investigate whether changes in stability and relaxation dynamics provide measurable information beyond conventional descriptions of signals. Each application requires its own defined objective and separate validation.
We are looking for specialists in time series, dynamical systems, biostatistics and biomedical data, as well as clinical and neurorehabilitation collaborators who can help define meaningful research questions.
We need to assess indicator robustness, missing-data handling, appropriate baseline models and transferability across datasets. Clinical expertise helps assess whether a statistically interesting signal addresses a practically meaningful research question.
A possible first task: reproducing a selected retrospective analysis or jointly developing an independent validation plan.
We are investigating the hypothesis that some features of the tumour environment can be described through biological-state stability and transitions. The available associations and proposed protocols require further independent assessment.
We are looking for systems biologists, oncology researchers, bioinformaticians, biostatisticians and partner experimental research groups.
We need to assess whether the proposed score adds information beyond proliferation, tissue cell composition and other confounders, evaluate analyses on independent data, and assess what findings would support or refute the hypothesis.
A possible first task: auditing data processing and the statistical model, or reviewing the assumptions behind a proposed evaluation.
We investigate the relationship between energy used to process information and valid, sufficiently stable outcomes. We distinguish the framework’s physical formulation, task-level metrics and estimates derived from performance data.
We are looking for physicists specialising in thermodynamics and information theory, and experts in metrology, electronics, computing systems and energy-benchmark analysis.
We need to refine measurable definitions, uncertainties and domains of validity, and assess what the metrics add to established indicators. It is essential to establish which claims a measurement supports and where its limits lie.
A possible first task: reproducing a selected benchmark comparison, or reviewing the definition of a valid outcome and its energy costs.
We also welcome collaboration on grant preparation, the development of institutional partnerships, research-data stewardship and open-source software. Traceable evidence, reproducibility, transparent authorship and research ethics underpin the work. Access to non-public or sensitive data requires agreed permissions and appropriate safeguards before work begins.
For initial enquiries, we prefer a message to Martin Petrásek on LinkedIn. Please indicate the programme, your expertise, a brief proposal for involvement and your approximate availability. You may include a public ORCID profile, a relevant publication or a work sample. We welcome enquiries from individuals and representatives of research institutions alike.
IRSFP