NetSI Cluster Hiring in Portland (Maine)

The Network Science Institute is launching an ambitious expansion at its newest research hub at The Roux Institute in Portland, Maine.

NetSI@Roux will focus on expanding research in network and computational epidemiology, population health, urban science, network medicine, artificial intelligence, data science, and data visualization. The NetSI and Roux Institute partnership presents a unique opportunity to develop innovative network modeling approaches to translational, entrepreneurial, and community focused challenges.

NetSI will participate in Roux's startup and incubator community where our team will contribute network science-driven perspectives and tools to support challenges in health, climate, urban planning, manufacturing, and other sectors.

Join the future of Network Science

We're seeking brilliant minds to explore and expand the boundaries of network science. For more information please write to us at roux@networkscienceinstitute.org

Research Faculty Positions

Apply

The ideal candidate will have expertise in one or more of the following research areas:

• Network medicine and biological networks
• Supply chain and manufacturing networks
• Network epidemiology and digital health
• Human dynamics, mobility networks, and wearables
• Machine learning and graph algorithms applied to health & life sciences

Postdoctoral Positions

The ideal candidate will have expertise in one or more of the following research areas:

• Epidemic Modeling/Network Epidemiology

Apply

• Human Mobility & Urban Science

Apply

• Machine Intelligence/Interdisciplinary

Apply

Research Co-op Program

Mentored research opportunities for undergraduate and graduate students. More information here.

PhD Student Positions

For more information about doctoral programs at Roux and opportunities for research visits please contact us here.

People

Andy(Yicheng) Zhang

Andy (he/him) is a research assistant working in the MOBS lab. He will be working on contributing to the development of an existing agent-based model that simulates the COVID-19 outbreak in Massachusetts and analyzes high-resolution mobility data (SafeGraph and Cuebiq) under the supervision of Dr. Matteo Chinazzi. He had a bachelor's degree in Statistical Science from the University of California, Santa Barbara, and a Master's degree in Bioinformatics & Data Analytics from the Northeastern University. Before joining as a Research Assistant, he worked as a research co-op student at NetSi with Dr.Jessica Davis and Dr.Brennan Klein.

Full Biography

+

Featured Publications

+
Matteo Chinazzi
Research Associate Professor

Matteo Chinazzi is a Research Associate Professor at Northeastern University (Department of Physics), Roux Institute member, and Core Faculty at the Network Science Institute. He conducts research at the intersection between network science, data science, epidemiology, economics, and artificial intelligence. His research interests include: a) the development of computational and analytical models to study and forecast the spatial spread of infectious diseases; b) the development of agent-based models to create realistic representations of population dynamics; c) the study of human mobility and contact patterns using high-resolution large-scale de-identified location data; d) the development of computational frameworks that combine mechanistic epidemic models with machine learning/deep learning models; and e) the study of the evolution and structure of science and innovation.

Full Biography

+

Featured Publications

+