Topic: algorithms

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.

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.

Conduct theoretical and computational research on equilibrium and nonequilibrium many-body quantum systems, with applications across condensed matter, materials, chemistry and quantum information. 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

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

Many insect species maintain a nest around which their foraging behaviour is centered, and can use path integration to maintain an accurate estimate of their distance and direction (a vector) to their nest. Some species, such as bees and ants, can also store the vector information for multiple salient locations in the world, such as food sources, in a common coordinate system. They can also use remembered views of the terrain around salient locations or along travelled routes to guide return. Recent modelling of these abilities shows convergence on a small set of algorithms and assumptions tha