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Chalmers University of Technology in Gothenburg invites a postdoctoral researcher to combine physics-based modelling with AI to advance neutron noise diagnostics for water-cooled SMRs. You will develop robust methods and validate them with high-fidelity simulations, collaborating with industry and academia to ensure industrial impact.
You will publish in leading journals, supervise master’s and doctoral students, and may engage in teaching at undergraduate/masters level.
Are you passionate about combining physics-based modeling with artificial intelligence to solve real-world challenges? As a postdoctoral researcher, you will pioneer innovative neutron noise diagnostics for nuclear reactors, helping translate breakthrough research into technologies with tangible industrial impact.
The Reactor Physics, Modelling and Safety group at Chalmers develops advanced methods for modelling, simulation, monitoring and safety analysis of current and next-generation nuclear reactors. Combining expertise in reactor physics, thermal-hydraulics, diagnostics and nuclear safeguards, the group conducts both fundamental and applied research in close collaboration with international partners and industry.
Fluctuations in the measured neutron flux around its mean value, known as neutron noise, offer a promising route for the early detection of anomalies in nuclear reactor cores. Unlike other monitoring signals such as pressure or temperature, neutron detectors can identify the effects of local perturbations from locations far removed from the source. This capability arises from the propagation of information through fission and scattering processes within the reactor core.
Modern core diagnostics relies on predicting the reactor response to potential anomalies and comparing these predictions with detector measurements. Recent research has demonstrated that machine learning models trained on simulated reactor data can successfully identify and characterize perturbations from neutron detector signals. Building on these advances, this project aims to further develop and validate these methodologies for the specific case of water‑cooled Small Modular Reactors or SMRs, bringing the techniques closer to practical implementation in industrial reactor monitoring and diagnostics.This project is carried out as part of the ANItA competence centre (Academic Industrial Nuclear Technology Initiative), which is a collaboration between academia and industry in Sweden.
The following requirements are mandatory:
You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.
The position is meritorious for future roles in academia, industry, or the public sector.
The position is a temporary full-time employment for two years with the possibility of a one-year extension.
The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn.
Chalmers is dedicated to improving gender balance and actively works with equality projects, such as the GENIE Initiative for gender equality and excellence. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities.
If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.
A background check may be conducted as part of the application process.
Christophe Demazière
Professor
demaz@chalmers.se
+46-31-772 30 82
Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez - forward.