Mathematical Modeling jobs

Join Francois Nedelec’s group at the Sainsbury Laboratory on the ERC Synergy BioMecaNet project. Use mathematical models and numerical simulations to investigate mitotic spindle assembly, cytoskeletal mechanics and chromosome segregation, integrating filament mechanics with cellular chemistry. Collaborate with experimental groups in Dortmund and Barcelona.…

Develop and analyse an integrate-and-fire neural-network model of visual perception using the LAMINART framework. The project studies multiple-object tracking, object segmentation and how model dynamics explain experimental behaviour. The appointment lasts up to 36 months in the Research Unit of Health and Cognitive Psychology at the Esbjerg campus, with…

Develop atmospheric inversions of methane and nitrous oxide to constrain greenhouse-gas sources and sinks at high latitudes. The project combines CarboScope transport and inversion modelling with Arctic and Canadian observations, isotopic measurements and satellite data to investigate carbon-climate feedbacks and permafrost regions. The appointment lasts…

Pursue independent and collaborative mathematical research at the Center for Systems Biology Dresden, connecting applied algebraic geometry, topology, computational geometry, differential equations, stochastics or statistics with questions in the life sciences. Researchers collaborate with experimental biologists and an interdisciplinary…

The ERC ICE-FLOE project studies unresolved ocean–sea-ice interactions that limit climate predictions. The postdoc will couple large-eddy ocean simulations with discrete-element sea-ice models to investigate melting, breakage and turbulence, compare results with Arctic and Antarctic observations, and develop parameterisations for global climate models. The…

Develop computational and mathematical methods for soil microbiomes in the Quince Group. The work combines long- and short-read metagenomics with metatranscriptomics, resolves strain diversity using statistical models, and supports predictive models of natural soils and synthetic microbial communities. The full-time appointment lasts three years, with…

Develop scientific AI methods for understanding and predicting plant-community dynamics in space and time within the PEPR DynaBiod programme. Process-informed neural networks will combine data with ecological mechanisms, allowing inference from incomplete, heterogeneous and noisy observations. The project examines mathematical formulations, learning…

VIB’s Center for AI and Computational Biology and KU Leuven’s Department of Human Genetics seek a group leader and professor developing AI and mechanistic mathematical models for biological questions. Potential themes include hybrid mechanistic and deep-learning models, genome-regulation foundation models, single-cell and spatial multi-omics, protein…

VIB.AI and KU Leuven seek a group leader and professor developing AI and mechanistic models for biological research. Possible areas include genome-regulation foundation models, protein structure and interactions, cellular imaging, disease models, digital twins and experimental feedback. The role combines independent research, supervision, teaching and…

Develop a whole-life geotechnical design framework for offshore anchoring systems in the Centre of Excellence for Intelligent & Resilient Ocean Engineering. Generate and interpret finite-element datasets, derive a lumped-element macro model, and implement an accessible stand-alone calculation tool. The research forms part of the Royal Academy of Engineering…

Research kin availability, bereavement, family composition, intergenerational ties and demographic change with Diego Alburez-Gutierrez's Kinship Inequalities group. The team particularly welcomes work on family networks in crises, including disasters, epidemics and climate change, alongside theoretical and methodological advances. This full-time three-year…

Study photonic fluids and frequency combs by designing and fabricating semiconductor devices, building optical measurement setups and developing models of nonlinear laser dynamics. The goal is an experimental platform for probing and controlling liquid-light dynamics that connects device physics, precision measurement and theory. Apply through the ETH…

An 18-month, full-time appointment develops carbon mineralization methods within the DACMIN pilot-plant project. Research examines fluid–rock reactions, leaching, impurities and carbonate precipitation using industrial residues, combining experiments and modeling. Level A salary is AU$87,266–118,416 plus 17% superannuation, with a PhD entry point of…

This CHEMCONTROL postdoctoral project studies human motivation, value-based decisions and cognitive control through experimental design, intracranial recordings, single-neuron and local-field-potential analyses, and computational behavioural models. The researcher joins Roshan Cools’s group at the Donders Centre for Cognitive Neuroimaging and collaborates…

Investigate how animal communication shapes coordinated movement and collective behaviour in the Communication and Collective Movement group. Quantitative research combines tracking-collar and passive-acoustic data with computational analysis and, where appropriate, modelling. The fully funded doctorate is based in Konstanz for four years, with a flexible…

Join the Astrophysical and Cosmological Relativity department for research on gravitational-wave modelling, numerical relativity, data analysis, compact-object astrophysics and tests of gravity. Appointments at different seniority levels last two to five years, with an anticipated autumn 2027 start. Salary normally follows TVöD Bund E13 where qualification…

Model how climate change affects floods, droughts and wildfire, including the hydrological consequences of fire-altered vegetation and soils. Combine CMIP6 or ISIMIP climate ensembles, land-use projections and probabilistic analysis to identify future hazard hotspots under Shared Socioeconomic Pathways. Results support a Bristol-led consortium studying…

Develop quantitative-genetic and genomic methods for aquaculture breeding, combining multi-trait and multi-environment prediction with optimisation and data science. Research covers Look-Ahead Genomic Selection, haplotype stacking and breeding strategies balancing genetic gain, resilience, adaptability, sustainability and genetic diversity. Build simulation…

The Haibe-Kains Lab at Princess Margaret Cancer Centre seeks a researcher for computational oncology, biomarker discovery and treatment-response modelling. Work combines genomic, molecular and clinical data using multimodal learning and foundation models, with reproducible, privacy-aware and federated workflows across collaborating institutions. The…

Join the PERCS project’s spatial-science synthesis work on perennial restoration in agricultural landscapes. Model ecological and biodiversity benefits, prioritize restoration locations and build a practical digital tool for project partners. Collaborate across disciplines and communicate findings through papers, reports and workshops under Matthew…

The Department of Neuroscience at Yale University is hiring tenure-track faculty with interests in computational or theoretical neuroscience, including candidates who use computational methods, machine learning and AI to link models with experimental data across neural activity analysis, network modelling, imaging, bioinformatics and molecular modelling.…

Create biologically informed computational models of cognition driven by experimental data, working closely with experimental and clinical researchers. The primary appointment is in Mathematics and Statistics, with potential secondary affiliations across neuroscience and engineering. The successful scholar leads independent research, teaches, mentors…

Develop Bayesian calibration methods that explicitly represent model error in structural dynamics. The PLATON team will compare informative calibration quantities, implement and benchmark algorithms, and accelerate inference with surrogate models. The work aims to improve finite-element predictions under uncertain material, boundary and loading conditions.…

Develop methods combining bifurcation analysis, robust optimisation and uncertainty quantification for nonlinear structural dynamics and aeroelastic flutter mitigation in high-altitude, long-endurance drones. The work includes modelling uncertain nonlinear systems, numerical implementation and comparative evaluation of robust bifurcation-diagram…