Cement manufacturing is responsible for approximately 8% of global CO2 emissions, equivalent to all gas-powered passenger vehicles on the road today. The primary emissions source is the high-temperature decomposition of limestone, a process deeply embedded in traditional cement production. Forge Climate is tackling this challenge with a novel, electricity-driven solution: the cement electrolyzer. Powered by […]

This research project supports the development of the NEXT experiment in Groningen, which studies rare, short-lived atomic nuclei important for understanding how the heaviest elements in the universe are formed. These special nuclei, produced in high-energy reactions, are difficult to make and study due to their low production rates and short lifetimes. The intern will […]

Ce projet vise à établir une stratégie de commercialisation viable pour la mise en marché d’un produit dérivé de travaux de recherche publique réalisés par le stagiaire. Le projet développera ce modèle pour un nouveau type de commutateur photonique, conçu pour répondre aux besoins émergents des centres de données, notamment en réduisant leur consommation énergétique […]

Le projet vise le développement du flacon digital, c’est-à-dire une approche de simulation numérique qui permet d’étudier des réactions chimiques et de prédire les produits qui seront observés en laboratoire. Le flacon digital fournit une vision moléculaire des différentes réactions chimiques possibles, ce qui est autrement impossible à obtenir directement. Une première application de celui-ci […]

Our project is focused on developing portable biosensors that let anyone measure steroid hormones—like androgens, estrogens, and glucocorticoids—without needing to send samples to a lab. These tools were first designed to help monitor wildlife health, especially for caribou populations important to Indigenous communities, but they also have huge potential for human health. As scientists, we’re […]

The goal of this project is to bridge the fields of neuroscience and nonlinear dynamics by leveraging advanced machine learning algorithms to analyze recurrence patterns in neural wave data. Specifically, the project focuses on studying traveling cortical waves – a fundamental phenomenon in brain activity – using recurrence quantification analysis enhanced by machine learning techniques. […]

The global space sector has seen massive growth in recent years, fueled by lower launch costs and increased commercial access. Yet, many spacecrafts still rely on decade-old hardware designs. Innovation in spacecraft components remains limited. The industry’s strong preference for “space heritage” makes it slow to adopt cutting-edge systems, even if they are flight-proven by […]

GradFinder is an AI-powered platform that connects students looking for thesis-based graduate positions with professors who are actively recruiting. Right now, students waste time searching dozens of university websites and sending cold emails, while professors are overwhelmed with unqualified inquiries. This project will help GradFinder move from a working beta version to a polished, scalable […]

This project investigates the evolution of galaxies by combining observational data to understand how the intracluster medium influences galaxy star formation. The intern will query and prepare a catalog of imaging and spectroscopic data for galaxies in clusters. A key outcome of the project is the creation of a structured catalogue of potential targets suitable […]

The continued rise in global temperatures, driven by excessive greenhouse gas emissions, has brought carbon dioxide (CO2) to the forefront of global challenges. As the most abundant greenhouse gas, CO2 presents both a critical issue and a unique opportunity: its removal and conversion into value-added products have become key goals for scientists, industries, and policymakers. […]

Trapped ultracold atoms are one of the primary platforms enabling the development of quantum computation and simulation. Continued scaling towards large, robust quantum mechanical systems relies on our ability to exert increasing levels of control over these atomic systems. The team working on the Rubidium-87 experiment at Collège de France have demonstrated unprecedented precision manipulation […]

A key goal in modern organic chemistry is the development of efficient synthetic routes to access industrially relevant structures starting from highly abundant feedstock chemicals, while minimizing the use of expensive rare-earth metals for catalysis. This project aims to synthesize urea-type containing heterocycles, which are a common structural feature found in many biologically active compounds, […]