12 agent-based-modelling Postdoctoral positions at Mathjobs.org

Postdoctoral Fellow in Bayesian Computation

methods will be benchmarked on a variety of applications based on models with intractable likelihoods and computationally expensive stochastic simulators, such as large-scale agent-based models in

POSTECHCM2LAPOSTDOC

. CM2LA has three research groups dedicated to advancing mathematical machine learning and AI: • Large-Scale Physics Based AI (Group 1): Studies large-scale physics-based and scientific machine learning

Postdoc

& Topology Group (BilQCT), led by Assistant Professor Cihan Okay. We are developing novel classical simulation algorithms based on polyhedral geometric extensions of stabilizer theory and phase-space

Postdoctoral Scholar

Mathematics or Statistics, or a related area. The appointment will be for up to three years with annual renewal based on satisfactory performance. The department has over 40 faculty and post-doctoral scholars

Hausdorff Postdoc Positions

based faculty member of HCM as a mentor as well as a Research Area associated with that mentor. The deadline for application is November 1st, 2026. In addition, we need at least two letters of

NCTS Postdoctoral Fellow

of AI Applicants are encouraged to suggest potential NCTS mentors from mathematicians based in Taiwan. Application Process All applications must be submitted online at: ${JobURL} The following

Postdoctoral scholarship (1 year) in Discrete Mathematics

pancake graph. The specific research questions will be determined based on the candidate’s interests and expertise. The postdoctoral scholarship is funded and administered by the Kempe Foundation (JCSMK

Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows

mathematics and economic geology and is based in the School of Mathematics at Monash University. You will work closely with A/Prof Anja Slim at Monash, Dr Edward Hinton at the University of Melbourne and

Postdoctoral fellowship

to candidates of any nationality. Selection will be based on a candidate’s potential for research and teaching. The appointment is for one year, and is normally renewed for a second year, subject to

Postdoctoral Associate in Mathematical Foundations of Generative AI

generative models, particularly diffusion- and flow-based models, as well as their applications to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic