Jobs at NetSI

Open Rank Research Scientist - NetSI Roux

October 1, 2022
Network Science Institute
Portland, ME

About the Opportunity

The Network Science Institute (NetSI) is growing and establishing a new research hub site at The Roux Institute in Portland, Maine.

NetSI is hiring postdoctoral researchers and research scientists to join a global community of interdisciplinary faculty, researchers, and graduate students. Compensation and title will depend on prior experience for the ranks of Postdoctoral Research Associate and Associate Research Scientist. Applications will be reviewed on a rolling basis until all positions are filled.

These fully funded positions are renewable for up to two years pending satisfactory performance. Starting date is negotiable, beginning as early as October 2022. Successful candidates should plan to relocate to Portland, Maine, although the position may start remotely if needed. These positions may be eligible for a hybrid work arrangement. Compensation is competitive and includes benefits. Successful candidates will be affiliated both with the Network Science Institute and The Roux Institute.

These joint NetSI-Roux positions target early career interdisciplinary computational scientists with a particular focus on candidates with prior research experience and/or interest in expanding their research at the intersection between network science, data science, epidemiology, economics, computational social science, urban science, climate science, and artificial intelligence.

The range of potential research projects may include, but it is not limited to: real-time modeling and forecasting of large scale epidemics; modeling of human mobility and contact patterns using high resolution geolocation data; utilizing mobility networks to predict economic growth and study segregation and inequality; studying how structural social and economic inequities shape disease dynamics; incorporating human behavior, socio-economic characteristics, and the effects of misinformation in large scale epidemiological models; developing hybrid mechanistic and deep learning frameworks to accelerate stochastic simulations; developing innovative statistical/machine learning methodologies for spatio-temporal forecasting; developing unified modeling frameworks that combine the effects of climate change, circulation of infectious diseases, and the dynamics of economic-financial systems; studying and modeling of socio, economic, and financial networks; etc..


Applicants should have completed or be near completion of a PhD or equivalent by the start date of the position. Successful candidates should be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar; and have strong communication and writing skills.

Applications are invited from any relevant discipline including: Physics, Statistics, Economics, Computer Science, Epidemiology, Social and Behavioral Sciences, Public Health, Transportation Engineering, Urban Studies, or other related quantitative topics.

Experience in large-scale simulations and/or in analyzing large-scale datasets is strongly preferred.

Application Materials

The Interested candidates should submit the following:  

  • Curriculum Vitae with pointers to your research/expertise-related online profiles (e.g. Google Scholar, Github, Gitlab, Bitbucket, Kaggle, etc..)
  • Research Statement: The research statement should include a clearly articulated description of past research experience and research interests (1-2 pages)
  • References: Please provide the names of at least two mentors/supervisors or senior colleagues who will be able to provide (upon request) letters of recommendation.

For more information about these positions, please contact Matteo Chinazzi at

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