Algorithms

The Algorithms and Complexity group is recruiting postdoctoral researchers in theoretical computer science for autumn 2027. Candidates from all areas of theoretical computer science are invited. Apply by January 31, 2027 using the email application instructions on the official group page, supplying a CV, research statement and three recommendation letters. The group sits within Waterloo’s School of Computer Science and Faculty of Mathematics.

…and generalized persistence, algorithms, connections with non-Euclidean geometry and knot-theoretic applications. Introductory lectures lead into focused group research, problem sessions and discussion to exchange methods across topology, geometry and computer science. Six group leaders coordinate collaborative projects. The event is organized in partnership with the Clay Mathematics Institute.

…Fellows develop concepts, algorithms and open-source software, publish findings, participate in collaborative activities and mentor students. The initial appointment is generally two years, renewable for a third based on performance, with an anticipated start between late August and late November 2027. The position is based at the foundation’s New York City offices; annual full-time compensation is $

Develop algorithms and research software for quantum many-body science, including work associated with packages such as TRIQS, AFQMC and ITensor. The fellowship joins the Center for Computational Quantum Physics and combines scientific research with software development and collaboration. The initial appointment lasts two years, with possible renewal for a third, starting between August and early November 2027. Annual salary is USD 95,000. Applications remain under consideration until filled; the priority date is 9 October 2026. Submit a CV/publications, a software and algorithm statement of a

The researcher will define original computer-vision research directions, develop algorithms that generalize across diverse data and hardware, publish results and collaborate with engineering teams on production systems. The role emphasizes scientific rigor, reproducibility and the practical problems encountered by computer-vision users. Candidates need a master’s degree, PhD or equivalent experience, a publication record and a strong command of machine-learning theory. The employer supports remote work and collaboration at its hubs. The advertised base salary is US$168,000–255,000 depending on

Develop machine-learning theory, algorithms and models related to dynamical systems. The research role includes publishing results and contributing to the team's scientific activities.

…Research spans error-correction codes, algorithms, parallel processing, dedicated hardware, FPGA implementation and quantum-error simulation.

At Recod.ai, Unicamp, develop algorithms for continuous health monitoring with wearable devices and coordinate research with academic and industry collaborators. Apply through the linked online form with a cover letter and CV by 5 October 2026. The host specifies at least 40 hours per week.

Algorithms generate input-output mappings through step-by-step operations on representations. Cognitive scientists use algorithms to explain mental processes. For example, they use tree-search algorithms to explain planning, reinforcement learning algorithms to explain exploration, and Bayesian algorithms to explain categorization. The standard approach is to search for parts in the brain corresponding to the steps of the algorithm. But we haven’t been able to find many such parts. This has led some to deny that algorithms are useful to systems neuroscience, and to interpret neural systems usi

Remembering events in the past is crucial to intelligent behaviour. Flexible memory retrieval, beyond simple recall, requires a model of how events relate to one another. Two key brain systems are implicated in this process: the hippocampal episodic memory (EM) system and the prefrontal working memory (WM) system. While an understanding of the hippocampal system, from computation to algorithm and representation, is emerging, less is understood about how the prefrontal WM system can give rise to flexible computations beyond simple memory retrieval, and even less is understood about how the two

…shows convergence on a small set of algorithms and assumptions tha