Applied Mathematics Research Associate

About the Opportunity

About the Opportunity

About the Institute for Experiential AI and Northeastern University

Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions?

We have launched a pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Dr. Usama Fayyad, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. 

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

The Culture

Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems.

Position Summary

The Applied Mathematics Research Associate will report to Ayan Paul, Research Scientist at EAI and collaborate with researchers and faculty at NetSci and NU London. Responsibilities will literature review and validation of mathematical frameworks for epidemiology with some coding of simulations. Tentative start date: June 2025 for up to two months. This work will contribute towards the understanding of disease progression and building mathematical frameworks for epidemiology that can be applied at the population level and also at the molecular and cellular level for biological applications.

Qualifications

• Currently enrolled in a BS program with an emphasis on applied mathematics.
• A good knowledge of applied mathematics with an interest to learn domain knowledge in epidemiology.
• An ability to write clean and well-documented code and work with Github repositories.
• Excellent organizational skills including attention to detail and multitasking.
• An ability to troubleshoot and problem-solve in response to challenges, especially, in an unfamiliar domain.

Values & Abilities:

• Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders from various academic backgrounds.
• Respect for diversity and the importance of interdisciplinary teams.
• Self-starter and innovative thinker and a team-player who can collaborate effectively in a university setting.
• Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University and any collaborating institutions. 

Key Responsibilities:

The Applied Mathematics Research Associate will be responsible for a wide variety of data-oriented tasks, including:

• Literature review of the current state of the art in epidemiological modeling.
• Develop simulation and network-based methods for epidemiological modeling.
• Documenting the entire process and all the codes generated and maintaining structured and regular commits in a Github repository.
• Write reports/prepare slide decks describing work performed.
• Contribute to scientific manuscripts and grant proposals where appropriate.

Position Type

Non-Student Temp (Salaries are very competitive)

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Rate: