HIRE FROM US
Access more than 4000 top candidates seeking new roles in Data Science, Machine Learning, Artificial Intelligence, Quant Research/Finance, Software Engineering, Quantum Computing, UX Research, Professional Writing, and more!
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Our Recruitment Solutions
Whether you are looking to save time and money through our Project-Based Recruitment solution or Traditional Staffing Agency model, our programs and services are designed to help you find ideal candidates faster and more efficiently.
Project-Based Recruitment
For just $5,000, your organization can submit one dataset or challenge per cohort to the Erdős Institute’s Project-Based Recruitment Program. Each project is tackled by teams of talented Ph.D. students and postdoctoral researchers participating in our Data Science, UX Research, or Deep Learning Boot Camps. These individuals are eager to showcase their skills and solve real-world problems that matter to you.
How it works
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Submit a Project
Provide a dataset or a business challenge for our students to solve. This can include tasks such as data cleaning, visualization, predictive modeling, or optimization challenges tailored to your needs. -
Engage with Talent
Watch as our participants—eager to demonstrate their skills—deliver innovative solutions to your problem. This hands-on experience allows you to see their talent and creativity in action, with no commitment required beyond the project. -
Evaluate and Recruit
Gain access to a pool of motivated, highly trained Ph.D. candidates who are actively seeking to transition into data-driven industry roles. Use the insights from the project to identify top performers and potentially recruit them into your organization.
Traditional Staffing Solution
For just 20% of the first-year base salary, the Erdős Institute’s Traditional Staffing Solution takes the hassle out of hiring. We do the work for you, conducting an on-demand, targeted search across our extensive talent pool of Ph.D. graduates, postdocs, and alumni from our Data Science, UX Research, and Deep Learning Boot Camps.
Our team identifies and pre-screens candidates tailored to your specific needs, ensuring you receive only the most qualified and motivated talent. Whether you're hiring for a technical, analytical, or research-based role, we connect you with individuals who are not only experts in their fields, but also eager to make an impact in your organization.
Examples of projects from prior cohorts
MAY-SUMMER 2024
TEAM
Deep Learning Boot Camp
RivusVox Editor
Zachary Bezemek,Francesca Balestrieri
RivusVox Editor: the world's first near-live zero-shot adaptive speech editing system
MAY-SUMMER 2024
TEAM
Deep Learning Boot Camp
Taxi Demand Forecasting
Ngoc Nguyen, Li Meng, Sriram Raghunath, Nazanin Komeilizadeh, Noah Gillespie, Edward Ramirez
Knowing where to go to find customers is the most important question for taxi drivers and ride hailing networks. If demand for taxis can be reliably predicted in real-time, taxi companies can dispatch drivers in a timely manner and drivers can optimize their route decision to maximize their earnings in a given day. Consequently, customers will likely receive more reliable service with shorter wait time. This project aims to use rich trip-level data from the NYC Taxi and Limousine Commission to construct time-series taxi rides data for 63 taxi zones in Manhattan and forecast demand for rides. We will explore deep learning models for time series, including Multilayer Perceptrons, LSTM, Temporal Graph-based Neural Networks, and compare them with a baseline statistical model ARIMAX.
MAY-SUMMER 2024
TEAM
Data Science Boot Camp
Continuous Glucose Monitoring
Daniel Visscher,Margaret Swerdloff,Noah Gillespie,S. C. Park,oladimeji olaluwoye
The idea of the project is to predict high glucose spikes from continuous glucose data, smartwatch data, food logs, and glycemic index. The dataset consists of the following:
1) Tri-axial accelerometer data (movement in subject)
2) Blood volume pulse
3) Intestinal glucose concentration
4) Electrodermal activity
5) Heart rate
6) IBI (interbeat interval)
7) Skin temperature
8) Food log
Data is public in: https://physionet.org/content/big-ideas-glycemic-wearable/1.1.2/#files-panel
SPRING 2024
TEAM
Data Science Boot Camp
Aware NLP Project III
Mohammad Nooranidoost, Baian Liu, Craig Franze, Mustafa Anıl Tokmak, Himanshu Raj, Peter Williams
This project involves the investigation and evaluation of different methodologies for retrieval for use in RAG (Retrieval-Augmented Generation) systems. In particular, this project investigates retrieval quality for information downloaded from employee subreddits. We investigated the impacts of using clustering, multi-vector indexing, and multi-querying in advanced retrieval methodologies against baseline naive retrieval.
FALL 2023
TEAM
Data Science Boot Camp
Groundwater Forecasting
Riti Bahl, Meredith Sargent, Marcos Ortiz, Chelsea Gary, Anireju Dudun
Groundwater is a critical source of water human survival. A significant percentage of both drinking and crop irrigation water is drawn from groundwater sources through wells. In the US, overuse of groundwater could have major implications for the future and forecasting groundwater can be useful in understanding its impact. Building on historical data for four wells, together with surface water and weather data, in Spokane, WA, we construct and evaluate machine learning models that forecast groundwater levels in the area.