Research Intern Salary at Bell Labs Inc BETA

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity The vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the developmen

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity As an AI Researcher focused on the development of our foundation model, you will be at the forefront of integrating advanced ML techniques with materials modeling to create a generalizable, robust, and scalable universal ML interatomic potential capable of accelerating materials discovery

POSITION RESPONSIBILITIES: Work with PI to develop study protocols and protocol amendments for the IRB as needed, including the development of new measures. Manage data collection, analysis and cleaning, performing regular audits to ensure that the data collected are complete and accurate, and that the research is being conducted as outlined in the protocol. Develop and manage REDCap database. Develop appropriate progress reports for the PI, study funding agency and the IRB. Assist PI with preparation of grant proposals (new and competing renewals). Assist the faculty in the in gathering the required documents and data needed to prepare grant applications. Secure related supporting letters and attachments required for grants and contracts. Confirm that the appropriate resources are available, which are needed by the PI. Arrange meetings of study partners, develop meeting agendas, and facilitate meeting Facilitate the preparation of conference abstracts, oral presentations, and poster p

We are interested in hearing from students at the penultimate year of their graduate or postgraduate studies who are looking to secure an internship in quantitative research and possess the relevant attributes. Research at GSA Capital means combining creativity, rigour and attention to detail in the design of systematic investment strategies. As a minimum, you must have an outstanding academic track record in a STEM, economics or empirical finance discipline from a leading academic institution and be able to demonstrate a passion and understanding for working within a quantitative environment.

Location Princeton, NJ Department Data Science and System Security Description The Data Science and Systems Security Department (http://www.nec-labs.com/research-departments/data-science-systems-research/data-science-systems-research-home) aims to build novel big data solutions and service platforms that simplify complex computer systems management, and to develop new information technology that supports innovative applications, from big data analytics to the Internet of Things. Our research is both experimental and theoretical, covering many domains in data science and systems research, such as: time series mining, LLMs and foundation models, graph mining, log mining, anomaly detection, and streaming processing. The goal of our research is to fully understand the dynamics of big data from complex systems, retrieve patterns to profile them and build innovative solutions to help end user managing those systems. We have built a number of analytic engines and system solutions to process a

About Us: Modal is building the serverless compute platform to support the next generation of AI companies. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure-including our own custom file system , container runtime, scheduler, container image builder, and much more. We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, bui

POSITION RESPONSIBILITIES Specifically, the Coordinator will: Work with PI to develop study protocols and protocol amendments for the IRB as needed, including the development of new measures. Manage subject accrual, enrolment and retention, including advertising and outreach. Schedule and manage subjects visits and assessments and oversee subject interviews and assessments. Data collection, analysis and cleaning, performing regular audits to ensure that the data collected are complete and accurate, and that the research is being conducted as outlined in the protocol. Develop appropriate progress reports for the PI, study funding agency and the IRB. Assist PI with preparation of grant proposals (new and competing renewals). Assist the faculty in gathering the required documents and data needed to prepare grant applications. Secure related supporting letters and attachments required for grants and contracts. Confirm that the appropriate resources are available, which are needed by the PI

Optiver is seeking Machine Learning Researchers to join our High Frequency Trading Team. Our HFT team is comprised of Researchers and Software Engineers who focus on designing, improving and executing trading strategies using machine learning. We're looking for someone to create and improve machine learning models, conduct signal/alpha research, and deliver improved predictions from which to run trading strategies. You'd work on a close-knit team that applies quantitative expertise and scientific training to solve tough, interdisciplinary problems. Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. What you'll